Time to first output
30-90 minutes
Includes setup plus initial result generation
Execution Map
Step-by-step pipeline
Step 1 of 7Open task page
Preparation: Creative Fatigue Forecasting
Prepare inputs and settings through Creative Fatigue Forecasting before running multi-touch attribution.
Why it matters
Creative Fatigue Forecasting sets up the foundation for multi-touch attribution; clean inputs here reduce downstream rework.
The Result
Inputs, context, and settings are ready so the workflow can move into execution without blockers.
⭐Top PickTop mapped tool
Pattern89 (now BENlabs Creative AI) →Selected from the highest-fit tool mappings and active usage signals for this step.
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Step 2 of 7Open task page
Input Setup: Mobile Attribution
Use Mobile Attribution to build supporting assets that improve multi-touch attribution quality.
Why it matters
Mobile Attribution strengthens multi-touch attribution by feeding better supporting material into the pipeline.
The Result
Supporting assets from mobile attribution are prepared and connected to the main workflow.
⭐Top PickTop mapped tool
AppsFlyer →Selected from the highest-fit tool mappings and active usage signals for this step.
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Compare top toolsStep 3 of 7Open task page
Input Setup: Marketing Attribution
Use Marketing Attribution to build supporting assets that improve multi-touch attribution quality.
Why it matters
Marketing Attribution strengthens multi-touch attribution by feeding better supporting material into the pipeline.
The Result
Supporting assets from marketing attribution are prepared and connected to the main workflow.
⭐Top PickTop mapped tool
InfiniGrow →Selected from the highest-fit tool mappings and active usage signals for this step.
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Compare top toolsStep 4 of 7Open task page
Core Execution: Multi-touch Attribution
Execute multi-touch attribution with Multi-touch Attribution to produce the primary final deliverable.
Why it matters
This is the core step where multi-touch attribution actually happens, so it determines baseline quality for everything after it.
The Result
A first-pass final deliverable is generated and ready for refinement in the next steps.
⭐Top PickTop mapped tool
AT Internet (Piano Analytics) →Best mapped choice for the core step based on task relevance and active usage signals.
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Compare top toolsStep 5 of 7Open task page
Quality and Optimization: Podcast Attribution
Refine and validate multi-touch attribution output using Podcast Attribution before final delivery.
Why it matters
Podcast Attribution adds quality control so issues are caught before the workflow is finalized.
The Result
The final deliverable is improved, validated, and prepared for final delivery.
⭐Top PickTop mapped tool
Chartable →Selected from the highest-fit tool mappings and active usage signals for this step.
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Compare top toolsStep 6 of 7Open task page
Quality and Optimization: Performance Attribution
Refine and validate multi-touch attribution output using Performance Attribution before final delivery.
Why it matters
Performance Attribution adds quality control so issues are caught before the workflow is finalized.
The Result
The final deliverable is improved, validated, and prepared for final delivery.
⭐Top PickTop mapped tool
Linqia →Selected from the highest-fit tool mappings and active usage signals for this step.
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Compare top toolsStep 7 of 7Open task page
Delivery: PR Attribution
Package and ship the output through PR Attribution so multi-touch attribution reaches end users.
Why it matters
PR Attribution is what turns intermediate output into a usable, publishable result for real users.
The Result
A finalized final deliverable is ready for publishing, handoff, or integration.
⭐Top PickTop mapped tool
Onclusive →Selected from the highest-fit tool mappings and active usage signals for this step.
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