Wellix · Subscription platform

Solve the work behind your subscription business.

Explore the Wellix solutions for launching products, connecting purchases to access, simplifying operations and making better growth decisions.

Find the right solutions See the platform in context

Platform Foundation

Launch and develop products with less repeated infrastructure work. Reuse application components, data foundations and product templates.

Discuss your product foundation

Application Runtime & APIs

Build product features on a shared application foundation instead of rebuilding API and configuration basics.

Example impact

−40% in this scenario

Core development effort

80 hours → 48 hours

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Business outcome. Put more engineering time into your product. 32 hours become available for product-specific work in this example.

How Wellix helps. Shared application primitives, request validation, API response conventions and configuration provide building blocks for repeated engineering work.

+$1,280 working-time equivalent per comparable task.

View assumptions

Comparison: 80 hours → 48 hours. One comparable package of application foundations.

Same application requirements, acceptance criteria and engineer experience.
Compare total engineering effort, including integration and verification, not calendar time.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(80 − 48) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use common runtime building blocks for application identity, configuration, API validation and structured data access. They establish conventions that can be reused as product-specific features are developed.

Capabilities

Shared identifiers and application primitives
HTTP request validation and common API response structures
OpenAPI schema conventions
Versioned runtime configuration with last-known-good settings
Onboarding document state and coordinated updates
Consistent cursor-based pagination

What you connect

Application service requirements
Environment configuration
API contracts and onboarding fields

What it supports

Configured runtime components
Consistent API structures
Application configuration and onboarding state

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Connect API contracts, authentication rules and application configuration to the runtime.

Design considerations

Your team builds its product-specific business logic alongside the shared runtime.

Related services

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Persistence & Cache

Keep application data consistent while reusing database, migration and cache logic across products.

Example impact

−30% in this scenario

p95 response time

400 ms → 280 ms

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Business outcome. Make data-backed interactions more responsive. A shorter tail response time can improve the experience of waiting for data; no revenue uplift is assigned.

How Wellix helps. Namespaced caching and persistence boundaries support a more deliberate data-access path.

View assumptions

Comparison: 400 ms → 280 ms. The same endpoint under an identical load test.

Same hardware, dataset, query mix, request rate and test duration.
Use the same cache warm-up state and error-rate criteria.
This is a load-test assumption, not a latency commitment.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Coordinate durable application data with reusable persistence, migration and cache conventions. The scope includes database transactions, schema checks and cache separation between products and environments.

Capabilities

PostgreSQL persistence and transaction boundaries
Migration coordination using database locks
Schema drift checks
Namespaced Redis-backed caching
Isolation of cache connection failures

What you connect

Application data models
Database configuration
Cache and environment settings

What it supports

Persistent application state
Coordinated schema migrations
Product and environment cache namespaces

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Database hosting, backup policies and capacity belong to the deployment design.

Related services

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Files & Object Storage

Manage application files and their metadata through one reusable storage interface.

Example impact

−40% in this scenario

Storage integration effort

40 hours → 24 hours

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Business outcome. Spend less time connecting file handling. 16 engineering hours become available for other product work.

How Wellix helps. Object-storage interfaces, metadata records and reconciliation workflows reduce repeated integration work.

+$640 working-time equivalent per comparable task.

View assumptions

Comparison: 40 hours → 24 hours. One equivalent set of storage features.

Same provider, object types, metadata, reconciliation and acceptance tests.
Include integration and testing in both estimates.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(40 − 24) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Connect application files to object storage through a common interface. Track stored-object metadata and reconcile it with the underlying bucket, with reusable handling for compressed structured archives.

Capabilities

Object-storage interfaces
Stored-object metadata registry
Bucket and metadata reconciliation
Compressed JSON archive encoding

What you connect

Application files and structured archives
Object metadata
Storage configuration

What it supports

Stored objects
Application file metadata
Reconciliation results

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Connect object storage using the product’s access and retention rules.

Related services

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Jobs, Webhooks & Recovery

Keep background work moving when webhooks repeat, jobs stop or processing needs a retry.

Example impact

−66.7% in this scenario

Process recovery time

60 minutes → 20 minutes

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Business outcome. Restore a stalled background workflow sooner. The process resumes 40 minutes sooner; elapsed recovery time is not assumed to equal staff effort.

How Wellix helps. Run history, leased outbox messages, retries, deduplication and abandoned-job recovery help identify and recover interrupted work.

View assumptions

Comparison: 60 minutes → 20 minutes. One comparable interrupted background process.

Use the same failure type, job volume, provider conditions and recovery endpoint.
Include time until successful processing resumes, not just retry initiation.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use shared scheduling, transactional event delivery and webhook processing to connect application workflows. Leases, deduplication and recovery mechanisms help teams handle retries and interrupted jobs consistently.

Capabilities

Scheduled job catalogue and run history
Replica leadership for scheduled work
Transactional outbox with leases, retries and failed-message handling
Provider-neutral webhook inbox and deduplication
Recovery of abandoned queue jobs
Readiness probes with degraded and fatal classifications

What you connect

Scheduled tasks
Application transactions and events
Incoming provider webhooks
Runtime health signals

What it supports

Tracked background work
Processed and deduplicated webhook observations
Retry and recovery state
Application readiness status

Software and delivery

Controlled runtime components
Managed integration and operation

Integration notes

Configure retry rules, event retention and recovery procedures for each workflow.

Design considerations

Recovery rules depend on the operation’s side effects and the external provider’s retry behaviour.

Related services

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Application Controls

Give your applications consistent request, credential and logging controls without repeating the groundwork.

Example impact

−40% in this scenario

Control implementation effort

40 hours → 24 hours

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Business outcome. Reuse common application safeguards. 16 engineering hours are released while the required control checks stay the same.

How Wellix helps. Validation, rate-limit counters, service-account key checks and log redaction provide reusable control implementations.

+$640 working-time equivalent per comparable task.

View assumptions

Comparison: 40 hours → 24 hours. One fixed set of standard application controls.

Same required controls, threat assumptions, integration boundaries and test coverage.
This measures implementation effort, not certification or reduced breach risk.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(40 − 24) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Apply common application controls for request validation, rate limiting, credential handling and sensitive log fields. These controls form part of an implementation that is configured for its actual data and deployment needs.

Capabilities

Request validation and network allowlist handling
Atomic rate-limit counters
Service-account key validation
Secret-store integrity checks
Email, identifier and HTTP log redaction
Normalised geo-IP lookup interfaces

What you connect

Request context
Rate-limit policy
Service-account configuration
Log fields and geolocation provider responses

What it supports

Validated request and credential handling
Rate-limit decisions
Redacted application logs
Normalised geolocation responses

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Apply controls to the actual data, credentials and providers used by the application.

Design considerations

Application controls are part of the product’s wider security design and operating practices.

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Product Templates & Deployment

Start a new product from reusable templates and carry the same practices through deployment and upgrades.

Example impact

−66.7% in this scenario

Environment and first deployment effort

24 hours → 8 hours

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Business outcome. Get the first environment ready with less groundwork. 16 engineering hours can move from setup to product development.

How Wellix helps. Application scaffolds, reusable CI/CD workflows and coordinated migrations provide a repeatable starting point.

+$640 working-time equivalent per comparable task.

View assumptions

Comparison: 24 hours → 8 hours. One environment and its first successful deployment.

Same environment, infrastructure access, migration scope and acceptance checks.
Measure hands-on setup effort; external approval or provisioning wait time is excluded from both values.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(24 − 8) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Bring authentication, landing-page, mobile and backend scaffolds into a shared release workflow. Versioned components, deployment configuration and migration checks support repeatable implementation and upgrades.

Capabilities

Authentication, landing-page, mobile and backend scaffolds
Reusable CI/CD workflows
Pull-request checks and repository hygiene
Canary deployment and rollout configuration
Coordinated database migrations
Release alerts, observability and rollback workflows

What you connect

Selected product template
Application configuration and approved code changes
Deployment and release requirements

What it supports

Configured product scaffold
Versioned deployment configuration
Build and release results
Migration and rollback workflow

Software and delivery

Versioned templates
Controlled deployment components
Managed implementation and upgrades

Integration notes

Select templates and deployment targets around the application and its source-management workflow.

Design considerations

Templates provide application foundations; your product retains its own experience, content and features.

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Commerce

Keep payments, subscriptions, offers and product access working together across web and mobile.

Connect payments and access

Payment Provider Integrations

Bring web payments and app-store purchases into common workflows, with less provider-specific logic in your app.

Example impact

−40% in this scenario

Provider integration effort

80 hours → 48 hours

Explore this solution

Business outcome. Connect a payment provider with less repeated work. 32 engineering hours can be applied to the buying experience instead.

How Wellix helps. Provider adapters map supported events, signatures, subscription state and commands into common commerce workflows.

+$1,280 working-time equivalent per comparable task.

View assumptions

Comparison: 80 hours → 48 hours. One provider integration with the same functional coverage.

Same provider, payment flows, management operations and acceptance tests.
Include adapter configuration, integration and validation in both estimates.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(80 − 48) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Connect payment and store observations through provider adapters for Stripe, Apple App Store, Google Play, PayPal, Paddle, RevenueCat and FunnelFox Billing. Common handling of money, lifecycle events and account context reduces the provider-specific work carried by the rest of your application.

Capabilities

Stripe invoice reads, webhooks and management/refund adapters
Apple store notifications and billing-command mapping
Google Play subscription state and order reads
PayPal signature and money-format handling
Paddle signatures and scheduled-change state
RevenueCat event and store context mapping
FunnelFox Billing payload mapping
Provider, account and environment configuration

What you connect

Authorised provider accounts
Provider webhooks and source records
Product and environment configuration

What it supports

Normalised billing observations
Provider account references
Canonical billing commands for supported integration paths

Software and delivery

Provider adapters
Controlled runtime components
Managed integration

Integration notes

Provider operations differ. Adapters use the relevant account permissions, event types and management interfaces.

Design considerations

Provider contracts, payment settlement and vendor charges remain with the selected provider and account owner.

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Billing State & Transaction Ledger

Understand what happened to a payment by keeping charges, refunds and subscription state connected.

Example impact

−60% in this scenario

Payment investigation effort

30 minutes → 12 minutes

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Business outcome. Find the cause of a payment issue faster. 18 minutes of investigation effort are released per comparable incident.

How Wellix helps. Charge, refund and chargeback records linked to billing state provide a consistent investigation trail.

+$12 working-time equivalent per comparable task.

View assumptions

Comparison: 30 minutes → 12 minutes. One comparable payment incident.

Same incident complexity and evidence requirements.
Measure active investigation time; exclude provider waiting time consistently.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(30 − 12) minutes ÷ 60 × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Map provider observations into common billing commands and preserve charges, refunds and chargebacks in an append-only operational ledger. This creates a consistent foundation for subscriptions, purchases and access decisions.

Capabilities

Provider-neutral billing commands
Append-only charge, refund and chargeback records
Links between financial observations and billing state
Repeat-safe management operations
Consistent targeting of subscription changes

What you connect

Normalised provider observations
Management requests
Subscription and purchase references

What it supports

Operational transaction ledger
Applied billing commands
Management-operation results

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Use provider extracts and accounting records separately for financial reconciliation.

Design considerations

Accounting treatment and statutory reports depend on the agreed accounting workflow.

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Subscription Management

Keep renewals, cancellations and subscription changes consistent even when provider events arrive out of order.

Example impact

−50% in this scenario

Subscription processing errors

20 → 10

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Business outcome. Reduce lifecycle handling errors. 10 fewer events require correction per 10,000 processed; this does not model lost revenue.

How Wellix helps. Canonical subscription records and handling of duplicate, delayed and out-of-order events support consistent transitions.

View assumptions

Comparison: 20 → 10. Per 10,000 subscription lifecycle events.

Same event mix, observation window and definition of an incorrectly processed event.
Count each erroneous event once, including errors found after initial processing.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Build application subscription state from provider observations, with common rules for dates, renewals and transitions. Ordering controls address repeated, delayed and out-of-order events, while cancellation records preserve the user response.

Capabilities

Canonical subscription records
Renewal counting and lifecycle transitions
Duplicate, delayed and out-of-order event handling
Cancellation survey data
Consistent management-operation references

What you connect

Billing commands
Provider subscription references
Cancellation actions and survey responses

What it supports

Current subscription state
Renewal and transition history
Cancellation context

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Match lifecycle rules to the provider and the product’s subscription configuration.

Design considerations

Subscription access rules are defined alongside entitlements and provider policy.

Related services

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Purchases & Purchase Linking

Connect store purchases to the right customer account so purchases can inform product access.

Example impact

+1% in this scenario

Correct purchase-to-account links

98% → 99%

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Business outcome. Link more purchases to the right customer. 100 more purchases are correctly linked in this sample; these are existing purchases, not new sales.

How Wellix helps. Provider purchase identity, pre-purchase identity binding and concurrency-controlled linking support account matching.

View assumptions

Comparison: 98% → 99% (+1 percentage points). A fixed sample of 10,000 purchases.

Same purchase sources and identity evidence.
Verify link correctness against the same reference and include unlinked purchases in the denominator.

Relative change = (scenario value − baseline) ÷ baseline × 100. Percentage-point change = scenario rate − baseline rate. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Represent lifetime and consumable purchases alongside subscription workflows. Purchase linking connects store identities to an application account, with controls for concurrent requests and repeated provider observations.

Capabilities

Lifetime and consumable purchase records
Uniqueness by provider purchase identity
Pre-purchase store identity binding
Account linking with concurrency controls

What you connect

Provider purchase observations
Store identity
Application account references

What it supports

Linked purchase records
Store-to-account binding
Purchase state for access resolution

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Connect purchase types and store identifiers to application account records.

Design considerations

Fulfilment rules for consumables and other product-specific purchases are configured by the product team.

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Entitlements & Access

Give subscribers the access their purchase entitles them to across your web and mobile experience.

Example impact

−40% in this scenario

Access-related support enquiries

50 → 30

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Business outcome. Reduce support work caused by incorrect access. 20 fewer access-related enquiries leave the support team with less avoidable work.

How Wellix helps. Shared access resolution and precedence across subscriptions, purchases and manual grants help make access consistent.

View assumptions

Comparison: 50 → 30. Per month, for the same active user base.

Same active user base, product rules and support channels.
Count enquiries using the same incorrect-access definition; no handling cost is assumed.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Bring competing access sources into an application entitlement decision. Configured precedence rules help teams determine which permissions follow from current subscription and purchase state or an authorised manual grant.

Capabilities

Subscription and purchase-based access
Precedence across competing access sources
Manual grants
Shared access resolution for integrated web and mobile workflows

What you connect

Subscription state
Linked purchases
Manual grants
Product access rules

What it supports

Resolved entitlements
Access state for product features

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Define the feature catalogue and the rules that translate purchases into access.

Design considerations

Access changes follow configured product and provider lifecycle rules.

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Promotions & Retention Offers

Offer relevant promotions and cancellation alternatives using product-defined eligibility rules.

Example impact

+25% in this scenario

Retention offer acceptance

20% → 25%

Explore this solution

Business outcome. Make retention offers more relevant. 50 more offers are accepted in this example; acceptance alone does not establish continued paid retention.

How Wellix helps. Offer eligibility, promotion programmes and cancellation context help the product team select and evaluate offers.

View assumptions

Comparison: 20% → 25% (+5 percentage points). 1,000 customers who receive a retention offer in a month.

Same eligible audience, exposure window and acceptance definition.
Discount costs, later cancellations and paid renewals would be needed to calculate revenue.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Define promotion-code programmes and decide which retention offers a customer may see during cancellation. Keep offer eligibility and cancellation context together so product teams can design and measure the customer experience.

Capabilities

Promotion-code generation and normalisation
Promotion programme records
Eligibility rules for cancellation offers
Cancellation context for retention flows

What you connect

Promotion configuration
Subscription and cancellation context
Offer eligibility rules

What it supports

Promotion codes and programme records
Eligible retention offers

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Connect offer content, pricing and redemption behaviour to the product and payment provider.

Design considerations

Measured impact depends on the product, audience and experiment design.

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Disputes & Chargeback Tools

Spend less time matching disputed payments to evidence, with connected transaction and case records.

Example impact

−60% in this scenario

Evidence preparation effort

30 minutes → 12 minutes

Explore this solution

Business outcome. Prepare dispute evidence with less manual work. 18 minutes of preparation effort are released per dispute, without assuming a different dispute outcome.

How Wellix helps. Charge-evidence matching, date-window normalisation and current-state dispute records support evidence preparation.

+$12 working-time equivalent per comparable task.

View assumptions

Comparison: 30 minutes → 12 minutes. One comparable dispute evidence package.

Same case complexity, evidence requirements and provider process.
Measure staff preparation time, not time awaiting a decision.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(30 − 12) minutes ÷ 60 × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Match payment records to dispute cases using transaction references, date windows and normalised descriptors. Integration components connect this evidence to Merchanto, Visa Order Insight and Mastercard Consumer Clarity workflows.

Capabilities

Charge-evidence matching
Date-window and descriptor normalisation
Ordered current-state handling for dispute cases
Merchanto protocol integration scope
Visa Order Insight and Mastercard Consumer Clarity protocol scope

What you connect

Charge and transaction records
Dispute case observations
Provider account and protocol configuration

What it supports

Matched charge evidence
Current dispute case state
Provider-specific protocol responses where implemented

Software and delivery

Provider adapters
Controlled runtime components
Managed integration

Integration notes

Scheme participation and provider access determine which dispute workflows can be connected.

Design considerations

Dispute outcomes and scheme decisions remain subject to the applicable provider process.

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Web-to-App Handoff

Carry a web purchase, account and onboarding context into the app so customers can continue their journey.

Example impact

+25% in this scenario

Web-buyer app activation

60% → 75%

Explore this solution

Business outcome. Help web buyers complete app activation. 150 more existing buyers activate in the app; activation is not counted as another purchase.

How Wellix helps. Purchase context, funnel login links and identity handoff connect the web checkout to the application journey.

View assumptions

Comparison: 60% → 75% (+15 percentage points). 1,000 web buyers observed for seven days after purchase.

Same buyer cohort, acquisition mix, app version and seven-day activation window.
Define activation as signed-in access to the purchased product in both cases.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Connect web funnel observations and a paid checkout to the application journey. Shared exchange and login contracts bring user identity, quiz answers and acquisition context into a coordinated account and purchase handoff.

Capabilities

FunnelFox and Web2Wave webhook payload handling
Quiz-answer and acquisition-context intake
Paid web-checkout exchange
Funnel login link and identity handoff
Purchase and account continuity across the integrated journey

What you connect

Funnel user and checkout context
Quiz answers
Acquisition references
Verified login exchange

What it supports

Application login context
Linked checkout and account context
Funnel data for downstream workflows

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Connect funnel providers, authentication steps and app-link routing across the website and application.

Design considerations

Routing and fallback behaviour depend on the selected website, mobile application and operating system.

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Identity

Give customers a consistent path between sign-in, accounts, devices and purchases.

Connect the customer journey

Authentication & Sign-in

Create a consistent sign-in experience that keeps customer identity connected to purchases and product access.

Example impact

+15% in this scenario

Registration completion

60% → 69%

Explore this solution

Business outcome. Help more people finish registration. 90 more people finish registration; no purchase conversion is assumed.

How Wellix helps. Magic-link state, external credential links and Google and Apple claim validation support the sign-in journey.

View assumptions

Comparison: 60% → 69% (+9 percentage points). 1,000 people who start registration, observed for 24 hours.

Same acquisition mix, registration requirements and observation window.
Count a completed, verified account once per registration starter.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use shared authentication components for external credentials, email magic links and verified Google or Apple identity claims. Product teams can establish consistent sign-in rules while preserving the identity context required by commerce and operations.

Capabilities

External credential-to-account links
Email magic-link state
Google and Apple token-claim validation
Email verification claim handling
Funnel login handoff

What you connect

External identity credentials
Email challenge actions
Verified provider claims

What it supports

Account-linked identity
Sign-in challenge state
Validated authentication context

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Configure identity providers, credentials and approved redirect paths for the product.

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Session Management

Handle session refresh and repeated requests consistently so customers can continue authenticated journeys.

Example impact

−40% in this scenario

Unwanted repeat sign-ins

50 → 30

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Business outcome. Reduce unnecessary sign-in interruptions. 20 fewer unwanted repeat sign-ins reduce friction for returning users.

How Wellix helps. Refresh-token rotation, replay handling and explicit session transitions support consistent session behaviour.

View assumptions

Comparison: 50 → 30. Per 1,000 comparable sessions.

Same session duration, device mix and security policy.
Exclude deliberate sign-outs and sign-ins correctly required by policy from both counts.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Apply common rules to session refresh, repeated requests and replay handling. Session components provide a reusable basis for keeping authenticated journeys consistent across application interactions.

Capabilities

Refresh-token rotation
Replay handling
Classification of repeated refresh requests
Session state transitions

What you connect

Authenticated account context
Refresh requests
Session policy configuration

What it supports

Updated session state
Refresh outcomes
Replay or duplicate classification

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Set session lifetime, cookie or token transport and device behaviour for the product.

Design considerations

Session controls operate within the selected authentication architecture.

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Account & Device Continuity

Keep accounts, devices and purchases connected as customers move between product experiences.

Example impact

−50% in this scenario

Duplicate account rate

4% → 2%

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Business outcome. Keep a clearer customer account history. 200 fewer duplicate account records make operations and customer history easier to manage.

How Wellix helps. External identity mapping, proof-based merge challenges and device ownership rules support account continuity.

View assumptions

Comparison: 4% → 2% (−2 percentage points). A comparable sample of 10,000 account records.

Same sources, sampling method and duplicate-account definition.
Compare against verified identity evidence; do not merge unrelated users to improve the metric.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Connect application accounts to their external identities and devices. Account-merge challenges and device transfer rules help implement a consistent identity journey while keeping evidence of the requested account relationship.

Capabilities

External identity-to-account mapping
Proof-based account-merge challenges
Device ownership records
Device transfer rules
Account context for purchase binding

What you connect

Application accounts
External credentials
Merge challenge proof
Device ownership and transfer requests

What it supports

Account identity links
Merge challenge outcomes
Device-to-account relationships

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Define account-merge policy, conflict handling and device ownership rules.

Design considerations

Cross-source analytical identity resolution is covered by Identity Graph.

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Identity Setup & Integration

Establish product identity with a reusable authentication scaffold and integrated identity management.

Example impact

−40% in this scenario

Identity integration effort

40 hours → 24 hours

Explore this solution

Business outcome. Connect identity functions with less groundwork. 16 engineering hours can be redirected to the application experience.

How Wellix helps. A versioned authentication scaffold, Logto integration and management API setup provide reusable identity foundations.

+$640 working-time equivalent per comparable task.

View assumptions

Comparison: 40 hours → 24 hours. One equivalent set of identity functions.

Same identity provider, authentication flows, management operations and tests.
Include configuration and verification; no enterprise federation capability is assumed.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(40 − 24) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Establish product identity infrastructure using a versioned authentication scaffold and Logto integration components. The scope brings identity setup, management API access and machine-to-machine credentials into the broader application deployment.

Capabilities

Versioned authentication scaffold
Logto integration
Machine-to-machine grant handling
Identity management API integration
Authentication proxy and automation setup within the selected scaffold

What you connect

Product identity requirements
Identity-provider configuration
Deployment environment

What it supports

Configured identity scaffold
Management integration
Machine-to-machine authentication configuration

Software and delivery

Versioned template
Controlled runtime components
Managed implementation

Integration notes

Third-party identity components retain their own licensing and operating requirements.

Design considerations

The authentication scaffold does not by itself establish enterprise federation.

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Operations & Engagement

Reduce manual investigations and give teams the controls, communications and visibility to run the product.

Simplify product operations

Administration & Audit

Give operators permission-based controls and an audit trail for changes to customer and product state.

Example impact

−66.7% in this scenario

Audit investigation effort

15 minutes → 5 minutes

Explore this solution

Business outcome. Answer administrative history questions faster. 10 minutes of operator effort are released per comparable investigation.

How Wellix helps. Mutation audit trails and administrative access logs connect actions with their operating context.

+$6.67 working-time equivalent per comparable task.

View assumptions

Comparison: 15 minutes → 5 minutes. One administrative action to locate and verify.

Same history depth, action complexity and evidence needed to verify the action.
Measure active lookup and verification effort.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(15 − 5) minutes ÷ 60 × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Apply scoped permissions to administrative operations and keep a record of changes. Shared audit and repeat-safe mutation components help connect operator actions to the same state used by the application.

Capabilities

Domain and HTTP-method-aware administrator permissions
Mutation audit trail
Administrative access logs
Repeat-safe administrative mutations

What you connect

Operator identities and permission scopes
Administrative requests
Application state changes

What it supports

Permission decisions
Action and access records
Tracked mutation outcomes

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Configure role design, access review and audit retention for the operating team.

Design considerations

Administrative actions follow the application’s permissions and data model.

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Operator Workflows & Job Recovery

Help operators investigate failed work and retry individual jobs without turning every issue into engineering work.

Example impact

−66.7% in this scenario

Operational batch handling effort

90 minutes → 30 minutes

Explore this solution

Business outcome. Clear operational work with less manual handling. One operator hour is released per equivalent batch.

How Wellix helps. Bulk run records, operator introspection, queue inspection and targeted retries support focused recovery work.

+$40 working-time equivalent per comparable task.

View assumptions

Comparison: 90 minutes → 30 minutes. One comparable batch of operational tasks.

Same number and mix of tasks, failure types and required completion checks.
Measure hands-on operator effort, excluding automated execution wait time.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(90 − 30) minutes ÷ 60 × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Provide structured operator access to bulk operations, background jobs and their outcomes. Per-run, per-item and error records support investigation, while queue inspection and targeted retry help teams resolve interrupted work.

Capabilities

Bulk operation runs, items and error records
Outbox-backed dispatch of bulk work
Operator introspection interfaces
Queue inspection
Targeted retry of an individual job

What you connect

Authorised operator requests
Bulk operation items
Queue and job state

What it supports

Bulk-operation progress and outcomes
Job inspection results
Targeted retry actions

Software and delivery

Controlled runtime components
Managed integration and operation

Integration notes

Connect permitted operator actions to the relevant jobs and application permissions.

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Messaging & App Links

Connect transactional messages, push handling and app links to the customer’s product journey.

Example impact

−60% in this scenario

Messaging investigation effort

20 minutes → 8 minutes

Explore this solution

Business outcome. Diagnose message delivery problems faster. 12 minutes of investigation effort are released per incident.

How Wellix helps. Submission interfaces, controlled retries and push-provider error classification give operators consistent diagnostic context.

+$8 working-time equivalent per comparable task.

View assumptions

Comparison: 20 minutes → 8 minutes. One comparable message-sending incident.

Same provider, incident class, message volume and evidence requirements.
Measure active investigation effort, not provider response time.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(20 − 8) minutes ÷ 60 × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use shared provider interfaces and templates to send application communications. Delivery-error handling, inactive push-token classification and app-link files connect messaging workflows with the web and mobile experience.

Capabilities

Email provider submission interface
Cross-client HTML email layout primitives
Controlled retry handling for email submission
Push provider error classification
Inactive push-token handling
Apple and Android app-link configuration files

What you connect

Recipient and message context
Email templates
Push token and payload
Application domains and identifiers

What it supports

Provider submission outcomes
Rendered email content
Push delivery classifications
App-link association files

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Configure message providers, consent preferences, templates and sending domains.

Design considerations

Message content and sending permissions remain part of the product’s communication policy.

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Events & Analytics Connections

Connect product events to analytics with shared event definitions and durable delivery workflows.

Example impact

−60% in this scenario

Duplicate event rate

5% → 2%

Explore this solution

Business outcome. Reduce duplicated analytics observations. 300 fewer duplicate events make that stream easier to analyse; no universal destination-billing saving is assumed.

How Wellix helps. Durable delivery and destination-specific deduplication conventions support consistent event handling.

View assumptions

Comparison: 5% → 2% (−3 percentage points). A selected stream of 10,000 events.

Same source and destination, event identity rule and observation window.
Keep the denominator fixed and check missing events separately.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use a shared event bus for immediate application events and durable outbox delivery. Mixpanel integration components preserve event conventions and handle destination submission, including the differences between recent and historical events.

Capabilities

In-process application event delivery
Durable outbox event delivery
Mixpanel reserved-key and deduplication conventions
Service-account integration
Mixpanel destination submission and endpoint selection

What you connect

Application events
Event timestamps and deduplication references
Destination configuration

What it supports

Dispatched application events
Analytics destination submissions
Consistent event records for downstream work

Software and delivery

Controlled runtime components
Managed integration

Integration notes

Define event schemas, consent handling and destination permissions together.

Design considerations

Historical analytics imports are covered by Implementation Tooling.

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Observability

Give your team the traces, metrics and runtime signals it needs to investigate product issues.

Example impact

−66.7% in this scenario

Incident detection time

30 minutes → 10 minutes

Explore this solution

Business outcome. Notice application incidents earlier. Detection occurs 20 minutes sooner; business losses or staff cost are not inferred from elapsed time.

How Wellix helps. Tracing, metrics, readiness signals and monitoring integrations support incident detection.

View assumptions

Comparison: 30 minutes → 10 minutes. One comparable incident, from onset to detection.

Same incident class, severity, monitoring coverage and onset definition.
This models detection, not time to repair or an uptime guarantee.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Instrument application execution with tracing, deadlines and metrics. Shared release and runtime signals help operators inspect behaviour, identify degraded services and follow up on deployment changes.

Capabilities

Application tracing
Execution deadlines
Metrics endpoints
Runtime readiness signals
Integration with release alerts and monitoring

What you connect

Application execution signals
Runtime probes
Deployment events

What it supports

Traces and metrics
Readiness classifications
Monitoring and release signals

Software and delivery

Controlled runtime components
Managed integration and operation

Integration notes

Connect metrics destinations, alert routes and runtime signals to the team’s monitoring.

Design considerations

Service targets and response responsibilities are documented for the selected deployment.

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Data & Intelligence

Understand revenue and customer behaviour, and turn that context into monetisation and retention decisions.

Discuss revenue intelligence

Governed Data Foundation

Bring scattered payment, product and behaviour records into a consistent foundation for analysis.

Example impact

−66.7% in this scenario

Analysis data preparation effort

12 hours → 4 hours

Explore this solution

Business outcome. Spend less time preparing data for decisions. Eight analyst or engineering hours become available for interpretation and decisions.

How Wellix helps. Canonical layers, source contracts and completeness checks provide a consistent foundation for analytical work.

+$320 working-time equivalent per comparable task.

View assumptions

Comparison: 12 hours → 4 hours. The same dataset prepared for the same analysis.

Same sources, record count, quality criteria and required analytical output.
Include cleaning, reconciliation and verification effort in both values.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(12 − 4) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Bring source-native operational, payment and behavioural records into governed data layers. The foundation separates original records from cleaned datasets, features and model outputs, with source contracts and quality checks supporting later analysis.

Capabilities

Source-faithful raw data preservation
Data ingestion and catch-up workflows
Clean and canonical data layers
Feature and model-data layers
Source contracts
Completeness and data-quality checks

What you connect

Payment provider records
Application state and events
Behavioural and acquisition data
Source access and data contracts

What it supports

Preserved raw datasets
Clean analytical datasets
Data-quality and completeness results
Prepared feature inputs

Software and delivery

Managed data integration
Governed data processing
Data interfaces defined for the implementation

Integration notes

Identify source systems, data permissions, processing locations and retention requirements.

Design considerations

Analytical results depend on source completeness and the identity and revenue links available.

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Identity Graph

Connect customer identifiers across sources so analysis can follow the customer and expose uncertain matches.

Example impact

+30% in this scenario

Identified-user record coverage

60% → 78%

Explore this solution

Business outcome. Connect more records to a known customer. 1,800 more records have a verified user link, improving the context available for analysis.

How Wellix helps. Account, device, checkout and payment links with provenance, confidence and conflict tracking support identity resolution.

View assumptions

Comparison: 60% → 78% (+18 percentage points). 10,000 eligible records from the same source mix.

Same eligible records and confidence threshold.
Check false matches separately; a higher link rate alone does not establish better identity quality.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Bring account, device, funnel and payment identifiers into a common customer view. Source evidence, confidence, validity and conflict records help analysts distinguish an observed relationship from an uncertain match.

Capabilities

Account, device and login identity links
Web funnel and checkout identity links
Payment and store identifier mapping
Source, observation time and validity for each relationship
Confidence and conflict tracking
Queues for unresolved or conflicting identities

What you connect

Application and identity records
Device and funnel identifiers
Payment customer and transaction references

What it supports

identity-link dataset
Confidence and completeness measures
Unresolved-link and conflict records

Software and delivery

governed data processing
analytical interfaces

Integration notes

Use authorised application data and evidence for each source relationship.

Design considerations

Identity links are evaluated with source and confidence context.

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Revenue Truth

Understand revenue across providers, refunds and chargebacks with traceable links back to source records.

Example impact

−60% in this scenario

Unmatched payment record rate

5% → 2%

Explore this solution

Business outcome. Explain more of the payments already recorded. 300 fewer records remain unmatched. Reconciled revenue is not newly earned revenue.

How Wellix helps. Transaction lineage, account and purchase links, reconciliation and unmatched-record views support revenue investigation.

View assumptions

Comparison: 5% → 2% (−3 percentage points). 10,000 payment records from the same period.

Same provider set, transaction period and match criteria.
Track monetary completeness separately: record count is not a measure of revenue value.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Combine provider transaction records with billing state and customer identity to analyse revenue by product and cohort. Trace refunds, chargebacks and sourced fee or tax fields back to the underlying records, and investigate transactions that do not reconcile.

Capabilities

Provider and transaction lineage
Gross amounts and source currencies
Refund and chargeback adjustments
Fee and tax fields where available from reliable sources
Subscription, purchase and account links
Reconciliation and unmatched-record views
Model-ready revenue labels

What you connect

Payment provider extracts
Operational billing ledger
Refund and chargeback records
Identity links and available accounting references

What it supports

canonical revenue dataset
Provider reconciliation views
Adjustment and exception records
Revenue labels for analysis

Software and delivery

governed data processing
reporting and analytical interfaces

Integration notes

Agree revenue definitions, date conventions and currency treatment against actual source records.

Design considerations

Statutory accounting and reporting follow the appointed accounting process.

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Attribution & Lifecycle Context

Put acquisition and lifecycle activity in the context of customer behaviour and revenue.

Example impact

+11.8% in this scenario

Purchases with known acquisition context

85% → 95%

Explore this solution

Business outcome. Give more purchases an acquisition context. 1,000 more purchases have known context; this improves analysis without creating extra purchases.

How Wellix helps. Attribution source links, campaign context and lifecycle change points connect purchases with acquisition information.

View assumptions

Comparison: 85% → 95% (+10 percentage points). 10,000 purchases measured with the same attribution rules.

Same purchase cohort, attribution window and definition of known context.
A context link is not proof of advertising causality.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Connect campaign, attribution, lifecycle-message and experiment context to product and revenue data. Use this context to examine what customers encountered before an outcome while retaining the measurement limits of each source.

Capabilities

Campaign cost and delivery context
Attribution source links
Lifecycle message delivery and engagement context
Experiment and release change points
Context for downstream value analysis

What you connect

Campaign and attribution sources
Lifecycle communication events
Experiment and release records
Identity and revenue datasets

What it supports

acquisition and lifecycle context datasets
Change-point annotations
Source-linked analytical context

Software and delivery

data integration
analytical interfaces

Integration notes

Connect attribution, campaign, messaging and experiment sources from the customer architecture, including tools such as Adjust and Meta.

Design considerations

Attribution and causal conclusions depend on source coverage and the measurement design.

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Wellix Monetize

Find opportunities in pricing, paywalls and offers, then turn them into recommendations and measurable experiments.

Example impact

+25% in this scenario

Purchase conversion

2.0% → 2.5%

Explore this solution

Business outcome. Convert more of the buying interest you already have. The scenario adds 50 purchases per month at the assumed traffic level.

How Wellix helps. Paywall and offer analysis, recommendation workflows and controlled experiments help the team evaluate purchase-surface changes.

+$5,000 revenue per month in this scenario.

View assumptions

Comparison: 2.0% → 2.5% (+0.5 percentage points). 10,000 visitors to one purchase surface per month.

Same eligible visitor mix, surface and conversion window.
Revenue per purchase stays at $100; the assumed conversion change must be tested.
Revenue is measured consistently after refunds and discounts and excludes pass-through taxes.

10,000 visitors × (2.5% − 2%) × $100/purchase = +$5,000 revenue per month. 200 → 250 purchases. This is revenue, not profit.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use subscription and revenue data to identify pricing, paywall, trial and retention opportunities. Bring candidate segments, recommendations and controlled experiments into one decision process, with eligibility, measurement and rollback controls for product actions.

Capabilities

Pricing and paywall opportunity analysis
Trial and offer segmentation
Retention opportunity analysis
Recommendation workflows
Controlled experiment design
Eligibility, measurement and rollback controls for automation

What you connect

Subscription and entitlement state
Reconciled revenue
Product and offer context
Experiment eligibility and guardrail metrics

What it supports

opportunity reports
Candidate segments
Measured recommendations and experiment plans

Software and delivery

analytical reports
recommendation interfaces

Integration notes

Use consistent billing state, customer identity and revenue data with prospective measurement.

Design considerations

Any production action requires defined eligibility, measurement and rollback controls.

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Wellix Predict

Estimate customer value and payback to inform growth decisions with cohort and model-quality context.

Example impact

+70% in this scenario

Return on ad spend (ROAS)

2.0× → 3.4×

Explore this solution

Business outcome. Evaluate acquisition decisions using customer value signals. This models a different acquisition outcome, not a model prediction or automatic campaign optimisation.

How Wellix helps. Predicted value, payback analysis and cohort evaluation can inform the client’s acquisition decisions. The client changes campaigns and evaluates the outcome.

+$14,000 ad-attributed revenue at unchanged $10,000 ad spend in the same month.

View assumptions

Comparison: 2.0× → 3.4×. One month with $10,000 in advertising spend.

Ad spend and traffic cost stay fixed at $10,000 for the same measurement period.
Assume conversion increases by 25% and revenue per buyer by 36%: 1.25 × 1.36 = 1.70. These are inputs, not predictions.
Use the same attribution rules and revenue window: attributed revenue changes from $20,000 to $34,000.
ROAS = ad-attributed revenue ÷ ad spend. It is not ROI or profit.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

ROAS = ad-attributed revenue ÷ advertising spend. $20,000 → $34,000 revenue at $10,000 spend: 2.0× → 3.4×. Assumed conversion multiplier 1.25 × revenue-per-buyer multiplier 1.36 = 1.70. This is revenue, not profit or ROI.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Estimate customer lifetime value and payback from reconciled revenue and consistent identity data. Cohort evaluation, calibration and drift checks help teams judge predictions before using them in operational or advertising decisions.

Capabilities

Predicted lifetime value baselines
Payback and value analysis
Cohort-level evaluation
Calibration and drift evaluation
Validation before downstream value-signal feedback

What you connect

Identity-linked revenue data
Customer and cohort features
Observation windows and evaluation criteria

What it supports

value estimates
Offline validation results
Cohort-level performance assessments

Software and delivery

analytical reports
prediction interfaces

Integration notes

Use reconciled revenue, stable identity and validation windows appropriate to the customer lifecycle.

Design considerations

Model quality and useful decision thresholds are assessed on the actual customer data.

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Wellix Funnels

Find where quiz and checkout journeys lose momentum and connect funnel changes to downstream revenue.

Example impact

+20% in this scenario

Funnel-start to purchase conversion

5% → 6%

Explore this solution

Business outcome. Help more people complete the route to purchase. The scenario adds 100 purchases per month at the assumed number of starters.

How Wellix helps. Journey and path analysis, opportunity scoring and controlled funnel experiments help the team evaluate changes.

+$10,000 revenue per month in this scenario.

View assumptions

Comparison: 5% → 6% (+1 percentage points). 10,000 funnel starters per month.

Same funnel-entry definition, visitor mix and purchase window.
Assume $100 revenue per purchase after refunds and discounts, excluding pass-through taxes.
Do not add this effect to Monetize for the same purchases.

10,000 visitors × (6% − 5%) × $100/purchase = +$10,000 revenue per month. 500 → 600 purchases. This is revenue, not profit.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Follow customer paths from quiz to checkout and downstream revenue. Journey analysis, scoring and funnel configuration help product teams identify opportunities and design controlled changes to acquisition flows.

Capabilities

Quiz-to-checkout journey analysis
Funnel path and opportunity analysis
Funnel scoring and configuration/compiler scope
Connections to downstream net revenue
Controlled funnel experiments

What you connect

Funnel events and quiz context
Checkout and account links
Attributed revenue
Experiment configuration

What it supports

funnel opportunity reports
Path and scoring outputs
Controlled optimisation recommendations

Software and delivery

analytical reports
funnel intelligence interfaces

Integration notes

Connect operational webhook and checkout handoff through Web-to-App Handoff.

Design considerations

Funnel changes require product-specific implementation and prospective measurement.

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Wellix Behavior

Understand lapse and churn patterns and identify product actions to support engagement and retention.

Example impact

−25% in this scenario

Monthly customer churn

8% → 6%

Explore this solution

Business outcome. Keep more of the starting subscriber base. 40 additional subscribers remain at month end in this scenario.

How Wellix helps. Lapse analysis, retention context and intervention recommendations help product teams choose and measure retention actions.

+$1,200 revenue for the next monthly billing period, if the additional subscribers remain paying.

View assumptions

Comparison: 8% → 6% (−2 percentage points). 2,000 active paying subscribers at the start of the month.

Customer churn is lost customers divided by the starting active customer base.
Same cohort and month; exclude new customers from the retained-base comparison.
Assume a $30 monthly subscription and that those 40 customers remain paying in the next billing period.
No annualisation or further retention is assumed.

2,000 starting subscribers × (8% − 6%) = 40 additional subscribers retained. 40 × $30 = +$1,200 next-period revenue, not profit. No multiplication by 12.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Use exposure, action and outcome data to investigate lapse, churn and habit-related behaviour. Read-only recommendations and intervention candidates help product teams decide which engagement actions to evaluate.

Capabilities

Lapse and churn analysis
Habit and retention context
Next-best-action recommendations
Just-in-time intervention logic
Exposure, action and outcome measurement

What you connect

Product behaviour events
Message and intervention exposure
Outcome definitions
Product eligibility and safety policies

What it supports

engagement insights
Read-only recommendations
Measurement-ready intervention candidates

Software and delivery

analytical reports
recommendation interfaces

Integration notes

Use consistent event definitions, lifecycle context and product-specific intervention policies.

Design considerations

Product teams define appropriate interventions and evaluate outcomes for their audience.

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Accelerators

Move localisation, content preparation, testing and release tasks forward with focused software tools.

Improve a production workflow

Autolingo

Reduce manual localisation work with AI-assisted translation of Lingui application catalogues.

Example impact

−60% in this scenario

Localisation processing effort

10 hours → 4 hours

Explore this solution

Business outcome. Move a localisation catalogue through preparation faster. Six hours of catalogue preparation effort are released for the same accepted output.

How Wellix helps. Lingui .po processing and AI-assisted translation support the application localisation workflow.

+$240 working-time equivalent per comparable task.

View assumptions

Comparison: 10 hours → 4 hours. The same Lingui catalogue and target language set.

Same source strings, languages, review standards and catalogue changes.
Include human translation review and corrections in both effort estimates.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(10 − 4) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Autolingo supports translation workflows for Lingui localisation catalogues. It brings AI-assisted catalogue translation into an application development process where the product team can review the language and release the updated interface.

Capabilities

Lingui .po catalogue processing
AI-assisted translation
Integration into a localisation workflow

What you connect

Lingui .po catalogues
Target-language requirements

What it supports

Translated localisation catalogue content

Software and delivery

Developer accelerator
Managed workflow integration

Integration notes

Connect Lingui .po catalogues, language requirements and the model provider to the development workflow.

Design considerations

Product teams review translation quality and application context before release.

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Translater

Translate PDF documents while retaining their structure and layout for review.

Example impact

−62.5% in this scenario

PDF translation and preparation effort

8 hours → 3 hours

Explore this solution

Business outcome. Prepare a translated PDF with less manual work. Five hours of document preparation effort are released.

How Wellix helps. PDF translation and layout-preservation processing support document preparation.

+$200 working-time equivalent per comparable task.

View assumptions

Comparison: 8 hours → 3 hours. One 20-page PDF translated into the same target language.

Same PDF, layout complexity, language and acceptance criteria.
Include translation review, layout corrections and final verification in both values.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(8 − 3) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Bring AI-assisted translation into PDF document workflows while preserving document structure and presentation. Review translated output in the context of the original document, its language and its layout.

Capabilities

PDF translation workflow
Layout-preservation processing
AI-assisted document language transformation

What you connect

PDF documents
Target-language requirements

What it supports

Translated PDF output for review

Software and delivery

Accelerator integration
Hosted-tool integration

Integration notes

Use representative documents to evaluate layout and translation quality.

Design considerations

Layout and translation results depend on the source document and require review.

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Auto App Store

Reduce repetitive screenshot-upload work when preparing your App Store presence.

Example impact

−75% in this scenario

Screenshot upload effort

4 hours → 1 hours

Explore this solution

Business outcome. Spend less time uploading store screenshots. Three hours of upload work are released; store rankings and conversion are not modelled.

How Wellix helps. Screenshot upload automation supports the upload step in release preparation.

+$120 working-time equivalent per comparable task.

View assumptions

Comparison: 4 hours → 1 hours. One package of 80 existing App Store screenshots.

Same 80 approved assets, device and locale destinations, account and connection conditions.
Include upload verification; exclude asset creation and store review from both values.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(4 − 1) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Automate the screenshot-upload step in App Store release preparation. Work with the application assets and authorised store access for the product being submitted.

Capabilities

App Store screenshot upload automation
Integration with release preparation workflows

What you connect

Prepared App Store screenshots
Application and store configuration
Authorised store access

What it supports

Screenshot upload results

Software and delivery

Developer accelerator
Managed workflow integration

Integration notes

Use authorised App Store access and screenshot assets that meet store requirements.

Design considerations

Store submission, review and approval follow the platform owner’s process.

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Mobile Auto

Exercise mobile product journeys with UI automation as part of testing and release preparation.

Example impact

−66.7% in this scenario

Regression UI suite elapsed time

6 hours → 2 hours

Explore this solution

Business outcome. Run a regression suite with less execution time. The suite finishes four hours sooner. Elapsed execution time is not assumed to equal labour saved.

How Wellix helps. Mobile UI automation and product-journey test workflows support repeatable regression execution.

View assumptions

Comparison: 6 hours → 2 hours. The same set of mobile regression UI checks.

Same test cases, devices, data, environment and pass criteria.
Compare execution-to-result time; include retries consistently.
Test setup, maintenance and result review require separate effort measurement.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Mobile Auto brings UI automation into mobile testing and release preparation. Product teams define the journeys, application builds and target environments to be exercised as part of the implementation.

Capabilities

Mobile UI automation
Product-journey test workflows
Release QA integration

What you connect

Application build
Selected user journeys
Target test environment

What it supports

Automated UI test results

Software and delivery

QA accelerator
Managed workflow integration

Integration notes

Define the product journeys, operating systems, devices and test environments to exercise.

Design considerations

Coverage is defined by the selected journeys and test environment.

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Creative Voice

Bring voice-related tooling into your team’s creative production workflow.

Example impact

−33.3% in this scenario

Voice workflow preparation effort

60 minutes → 40 minutes

Explore this solution

Business outcome. Reduce effort in a defined voice-material preparation step. 20 minutes of preparation effort are released for that step.

How Wellix helps. Voice-related creative tooling can support the defined preparation workflow.

+$13.33 working-time equivalent per comparable task.

View assumptions

Comparison: 60 minutes → 40 minutes. One comparable voice-material preparation step.

Define and hold constant the input material, step, output requirements and human review.
The comparison covers that preparation step only; it does not assume speech synthesis, cloning or a wider production pipeline.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(60 − 40) minutes ÷ 60 × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Creative Voice focuses on voice-related tasks within creative production. Discuss the voice work your team needs to handle as part of its broader content process.

Capabilities

Voice-related creative tooling

Software and delivery

Creative-workflow accelerator

Integration notes

Describe the voice tasks and production process when discussing this accelerator.

Related services

Wellix Creative

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Implementation Tooling

Connect product-specific reporting, data imports and content preparation to your Wellix implementation.

Example impact

−62.5% in this scenario

Recurring report preparation effort

8 hours → 3 hours

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Business outcome. Prepare recurring reporting with less repeated work. Five hours of report preparation effort are released per equivalent report.

How Wellix helps. Product-specific subscription and invoice reporting workflows support repeated report preparation.

+$200 working-time equivalent per comparable task.

View assumptions

Comparison: 8 hours → 3 hours. One subscription and invoice report for the same data volume.

Same source records, reporting period, calculations and acceptance checks.
Include data verification and final review; setup effort is outside this recurring-task comparison.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

(8 − 3) hours × 1 task × $40/hour. This values released working time; it is not a cash saving or profit. No reduction in staffing or vendor expenditure is assumed.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Implementation work can include subscription and invoice reporting, historical analytics imports and domain-specific content preparation. These workflows are scoped for the selected product and data sources, with their outputs and ownership defined for the engagement.

Capabilities

Subscription and invoice reporting workflows
Historical analytics data import
Content and media preparation workflows
Domain-specific content fields and constraints
Form specifications and pose-scoring content for product-specific preparation workflows

What you connect

Authorised subscription and invoice records
Historical event datasets
Product content and preparation requirements

What it supports

Scoped report outputs
Imported historical data
Prepared content for the selected product

Software and delivery

Managed implementation support

Integration notes

Connect source systems, mappings, output formats and product-specific rules.

Design considerations

These tools support product-specific implementation deliverables.

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Wellix Nutrition AI

Add food recognition, ingredient context and constraint-aware meal planning to nutrition product experiences.

Example impact

−62.5% in this scenario

Time to record one meal

120 seconds → 45 seconds

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Business outcome. Make logging a meal less time-consuming. The user finishes the task 75 seconds sooner; no revenue or clinical outcome is inferred.

How Wellix helps. Nutrition recognition and product and ingredient data can support meal entry in the application workflow.

View assumptions

Comparison: 120 seconds → 45 seconds. One comparable meal-entry task in an application.

Same meal complexity, information requirements, device and user familiarity.
Include the user’s review and corrections before saving.
No recognition accuracy, clinical benefit or allergen safety is inferred; ingredients and allergens require independent verification.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Build nutrition-related features around food recognition, product and ingredient data, and meal planning. Product-defined constraints connect these capabilities to the application’s content and user experience.

Capabilities

Nutrition recognition
Product and ingredient data
Constraint-aware meal planning
Integration with domain content workflows

What you connect

Food or nutrition input appropriate to the workflow
Product and ingredient data
User and product-defined meal-planning constraints

What it supports

food-recognition outputs
Structured nutrition context
Constraint-aware meal-plan candidates

Software and delivery

domain accelerator
product integration

Integration notes

Connect nutrition inputs, source datasets and product-defined dietary constraints.

Design considerations

Outputs are intended for food information and meal-planning workflows, not clinical recommendations.
Ingredients and allergens require independent verification before a meal recommendation is used; generated results do not establish allergy safety.

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Wellix Creative

Connect creative generation and scoring with acquisition and revenue feedback to inform the next iteration.

Example impact

+150% in this scenario

Accepted creative variants

10 → 25

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Business outcome. Prepare more usable creative options within a fixed budget. 15 more accepted variants give the team more options to test; advertising performance is not inferred.

How Wellix helps. Creative-generation workflows and scoring can support preparing and evaluating variants.

View assumptions

Comparison: 10 → 25. The same production budget, brief and review period.

Same production budget, formats, originality requirements and acceptance criteria.
Count only accepted variants; include human review, rework and tool costs in the fixed budget.

Relative change = (scenario value − baseline) ÷ baseline × 100. Compare the same metric definition and the workload or population described below.

The inputs are illustrative assumptions, not measured results or a forecast. Effects on the same purchases, subscribers or tasks must not be added together.

Bring creative generation and scoring into a feedback process informed by acquisition and revenue data. Relate assets to downstream outcomes and use measured feedback to guide creative iterations.

Capabilities

Creative-generation workflow scope
Creative scoring
Links between creative assets and downstream outcomes
Value feedback after attribution and revenue foundations
Measured creative optimisation

What you connect

Creative requirements and assets
Campaign and attribution context
Reconciled downstream outcomes

What it supports

creative workflow outputs
Creative evaluations
Downstream-value analyses

Software and delivery

creative accelerator
analytical interfaces

Integration notes

Connect creative media, provider dependencies and content rights to attribution and revenue measurement.

Design considerations

Performance conclusions depend on source coverage and prospective measurement.

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Share the challenge you want to solve. We will help identify the relevant Wellix solutions and discuss a proposal.

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Solve the work behind your subscription business.

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