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Multi-Touch Attribution for Product AI Prompt

Analyze which in-product touchpoints and features most contribute to conversion or activation. User journey data: {{journey_data}} (user_id, touchpoint_type, touchpoint_timestam... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.

Prompt text
Analyze which in-product touchpoints and features most contribute to conversion or activation.

User journey data: {{journey_data}} (user_id, touchpoint_type, touchpoint_timestamp, converted: Y/N)
Conversion event: {{conversion_event}} (e.g. first purchase, plan upgrade, feature activation)

1. Touchpoint inventory:
   - List all unique touchpoints users encounter before the conversion event
   - Count how often each appears in converting vs non-converting journeys
   - What % of converters touched each touchpoint?

2. Attribution models - compare all three:

   First touch:
   - 100% credit to the first touchpoint the user interacted with
   - Best for: understanding what initiates the conversion journey

   Last touch:
   - 100% credit to the touchpoint immediately before conversion
   - Best for: understanding what closes the conversion

   Linear:
   - Equal credit to all touchpoints in the path
   - Best for: understanding overall touchpoint contribution

3. Path analysis:
   - What are the top 10 most common touchpoint sequences for converters?
   - What sequences do non-converters follow? Where do they diverge?
   - Is there a specific touchpoint combination that strongly predicts conversion?

4. Time-to-conversion by path:
   - Do users with certain touchpoint paths convert faster?
   - Is there a touchpoint that accelerates conversion when added to the path?

5. Recommendations:
   - Which touchpoints should be promoted (high attribution, currently under-used)?
   - Which touchpoints appear to delay or interrupt conversion?
   - What is the optimal path to guide new users through?

Return: touchpoint attribution table (all three models), top conversion paths, path divergence analysis, and recommendations.

When to use this prompt

Use case 01

Use it when you want to begin funnel analysis work without writing the first draft from scratch.

Use case 02

Use it when you want a more consistent structure for AI output across projects or datasets.

Use case 03

Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.

Use case 04

Use it when you want a clear next step into adjacent prompts in Funnel Analysis or the wider Product Analyst library.

What the AI should return

The AI should return a structured result that covers the main requested outputs, such as Touchpoint inventory:, List all unique touchpoints users encounter before the conversion event, Count how often each appears in converting vs non-converting journeys. The final answer should stay clear, actionable, and easy to review inside a funnel analysis workflow for product analyst work.

How to use this prompt

1

Open your data context

Load your dataset, notebook, or working environment so the AI can operate on the actual project context.

2

Copy the prompt text

Use the copy button above and paste the prompt into the AI assistant or prompt input area.

3

Review the output critically

Check whether the result matches your data, assumptions, and desired format before moving on.

4

Chain into the next prompt

Once you have the first result, continue deeper with related prompts in Funnel Analysis.

Frequently asked questions

What does the Multi-Touch Attribution for Product prompt do?+

It gives you a structured funnel analysis starting point for product analyst work and helps you move faster without starting from a blank page.

Who is this prompt for?+

It is designed for product analyst workflows and marked as advanced, so it works well as a guided starting point for that level of experience.

What type of prompt is this?+

Multi-Touch Attribution for Product is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.

Can I use this outside MLJAR Studio?+

Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.

What should I open next?+

Natural next steps from here are Conversion Funnel Audit, Funnel Segmentation Deep Dive.