AI app for marketing · no coding needed
Cross-channel marketing measurement and budget planning workspace
Reduce manual reporting effort while making budget shifts traceable to measured channel impact.
Made for: Marketing leads and performance teams running paid campaigns across several channels
What it does for you
The problem
Campaign results sit in separate ad platforms and analytics tools, so budget decisions rely on last-click numbers and manual spreadsheet joins.
What it gives you
Reviewed attribution, incrementality and budget-plan outputs linked to source evidence
What you give it
Licensed ad platform exportsanalytics eventsCRM outcomesspend records
Build your own version of Lifesight, Forvio and more
One app with what these 3 AI tools do, yours to keep and change: Lifesight, Forvio, Markopolo.
Everything these tools do, in one app
- Multi-Touch Attribution Attributes conversions to multiple marketing touchpoints across channels.Found in Lifesight, Forvio
- Marketing Mix Modeling Models the impact of various marketing channels on sales or conversions.Found in Lifesight, Forvio
- Incrementality Testing Tests the incremental effect of marketing activities to validate true impact.Found in Lifesight, Forvio
- Causal AI Uses causal inference to provide granular insights into marketing performance.Found in Lifesight
- Unified Data Integration Centralizes scattered marketing data from various channels into a single source of truth.Found in Lifesight
- Actionable Insights Delivers real-time recommendations on scaling, reducing, or maintaining campaign spend.Found in Lifesight
- Budget Planning and Forecasting Allows marketers to create and compare budget plans and forecast their impact on revenue.Found in Lifesight
- Scenario Planning Tools Enables quick creation and comparison of budget plans to forecast revenue impact.Found in Lifesight
- Advanced Data Visualization Facilitates easy interpretation of complex datasets through visual tools.Found in Forvio
- Real-Time Performance Tracking Tracks marketing performance in real time.Found in Forvio
- Predictive Analytics Helps businesses anticipate trends and outcomes.Found in Forvio
- Real-Time Optimization Adjusts campaigns in real-time based on customer interactions.Found in Forvio
- Budget Allocation Guidance Analyzes saturation to guide budget allocation.Found in Forvio
- AI-Powered Creative Assistant Streamlines the creation and testing of ad creatives.Found in Markopolo
- PIXEL Integration Enables lifetime user attribution and synthetic conversion tracking across ad platforms.Found in Markopolo
- Advanced Dashboard Provides a holistic view of all key metrics in one place.Found in Markopolo
- Automated Daily Actions Simplifies routine marketing tasks.Found in Markopolo
- Targeting AI Generates custom audience presets to optimize ad reach and engagement.Found in Markopolo
How it works, step by step
- Connect and map ad platform, analytics and CRM data
- Attribute conversions across multiple touchpoints
- Model channel impact on sales or conversions
- Design and read out incrementality tests
- Apply causal inference to channel performance
- Centralize scattered marketing data into one source of truth
- Recommend scaling, reducing or holding spend
- Build and compare budget plans
- Forecast revenue impact of budget scenarios
- Visualize complex datasets for non-specialists
- Track performance in near real time
- Anticipate trends and outcomes from historical patterns
- Adjust campaign settings from reviewed signals
- Guide budget allocation using saturation analysis
- Draft and test ad creative variants
- Support pixel-based lifetime attribution and synthetic conversions
- Present a holistic metrics dashboard
- Run routine daily marketing actions
- Generate custom audience presets
- Compare the reviewed result with the recorded baseline and value assumptions
- Capture corrections and named-owner approval before consequential use
- Export a versioned reviewed attribution, incrementality and budget-plan outputs linked to source evidence with source references and unresolved questions
Build it yourself with your AI system
Build this app yourself, no coding needed
Start with a quick version you can try in a few minutes. Like it? Then build the full app by copying and pasting our step-by-step instructions: everything is prepared for you.
Sign in to see how to build it yourself
Build a quick version to try, or get the full app pack for Cross-channel marketing measurement and budget planning workspace with the step-by-step building instructions. You don't need any technical skills: you copy, paste and answer a few questions. Both are included in the membership.
4 Have it built for you days to a few weeks
Rather not do it yourself, or want it fully tailored to your data, your way of working and your brand? Nexibeo builds Cross-channel marketing measurement and budget planning workspace with you.
What's in the app pack
Included in the Complete AI Training membership.
- The building instructions your AI follows, step by step
- The questions your AI will ask you about your business before it starts
- A clickable demo you can open in your browser, to see how it should work
- A detailed blueprint of the screens, the information it keeps and the checks it runs
Become a member to get the app packAlready a member? Sign in
The files, for the technically curious
- START-HERE.mdHow to build it with your own AI (read first)3 KB
- README.mdOverview and links4 KB
- questions.mdQuestions to answer before you build2 KB
- prompt-cloudflare.mdThe full build prompt, hosted on Cloudflare25 KB
- prompt-vps.mdThe same build on your own server (Docker)25 KB
- spec.jsonData model, API, AI pipeline, acceptance criteria12 KB
- demo/index.htmlThe working demo on sample data200 KB
Questions
Do I need to know how to code?
No. You copy and paste the prompts on this page into ChatGPT or Claude, and the AI does the building. When it asks you something, you answer in your own words.
What does it cost?
The quick version, the app pack and the step-by-step instructions are for members: you pay the membership price, not a price per app (see the plans). Building the full app uses your own ChatGPT or Claude subscription. Putting it online is often cheap or no cost at the start, and your AI tells you before anything costs money.
How long does it take?
The quick version: about two minutes. The real app: an afternoon for a first version you can use, longer if you want every feature.
Can I change it to fit my business?
Yes. Tell your AI what to change in plain words, like “add a column for the price” or “use our logo and colours”. Or have Nexibeo build and customise it for you.
More detailsHow the AI works, safeguards and what to build first
Reduce manual reporting effort while making budget shifts traceable to measured channel impact. For marketing leads and performance teams running paid campaigns across several channels, convert licensed ad platform exports, analytics events, CRM outcomes and spend records into reviewed attribution, incrementality and budget-plan outputs linked to source evidence. The benefit is a testable hypothesis, measured through accepted budget decisions per reporting cycle and variance between forecast and actual channel outcomes; do not assume that AI output alone produces business value.
Confirm the buyer's problem and scope, collect licensed ad platform exports, analytics events, CRM outcomes and spend records, then follow this sequence: 1. Connect and map ad platform, analytics and CRM data. 2. Attribute conversions across multiple touchpoints. 3. Model channel impact on sales or conversions. 4. Design and read out incrementality tests. 5. Apply causal inference to channel performance. 6. Centralize scattered marketing data into one source of truth. 7. Recommend scaling, reducing or holding spend. 8. Build and compare budget plans. 9. Forecast revenue impact of budget scenarios. Resolve uncertain cases with qualified reviewers, approve reviewed attribution, incrementality and budget-plan outputs linked to source evidence, and measure accepted budget decisions per reporting cycle and variance between forecast and actual channel outcomes against a documented baseline.
How the AI works
Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One fixed attribution window and licensed data set; final budget approval and causal claims remain with the marketing owner. A model suggestion is never a verified fact, professional decision or authorization to act.
Safeguards
Preserve data permissions, source attribution, measurement accuracy and usage rights. Marketing owners approve budget changes and external reporting. One fixed attribution window and licensed data set; final budget approval and causal claims remain with the marketing owner. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.
What to build first
Pilot scope: One fixed attribution window and licensed data set; final budget approval and causal claims remain with the marketing owner. Implement one approved input format, a bounded representative case set and the first two task modules: connect and map ad platform, analytics and CRM data; attribute conversions across multiple touchpoints. Support the third module with operator review: model channel impact on sales or conversions. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.
What it can connect to
Ad platform APIs, analytics platforms, CRM systems and spend records. Cloud data storage, BI export and reporting destinations. Start with file exchange and validate destination specifications before promising direct publishing. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.
The screens in detail
Primary screens: Data connections and mapping, Measurement workspace, Budget plan and client report. Use a channel overview gallery, a large central analysis canvas, and a right-hand panel for data sources, model settings and comments. Let users compare attribution models and budget scenarios side by side. Display draft, reviewed and approved states. Provide a client preview link with comments anchored to the relevant chart or plan. Make the task-specific outcome reviewed attribution, incrementality and budget-plan outputs linked to source evidence visible beside its evidence, review state and value baseline.
