Path to Conversion

Introduction

While standard advertising channels provide performance metrics for individual ads, they often fail to show the complete shopper journey. The Path to Conversion model solves this by mapping the specific sequence of ad interactions from the very first touchpoint to the final purchase.

By providing a deduplicated, multi-touch view, this model identifies which ads act as "introducers" and which act as "closers". This transparency allows you to evaluate the conversion efficiency of different combination paths and optimize your media timing strategy to maximize the impact on user decisions.

This model can answer questions like:

• How many total ad touchpoints does a customer typically interact with before making a purchase?

• In the past month, what was the subsequent behavior of users who were first reached by a specific awareness campaign?

• Does a journey starting with DSP and ending with Sponsored Products (SP) convert more effectively than an SP-only path?

• Which ad sequence is the most common entry point for my New-to-Brand (NTB) shoppers?

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When should you use it?

• Optimizing the Media Mix: Use this to determine if adding a specific ad type (like SB or SD) to an existing sequence actually improves the total conversion rate or ROAS.

• Identifying the "Halo" Effect: Track paths that start with DSP to prove how much Sponsored Ads revenue is preceded and influenced by awareness-building impressions.

• Funnel Bottleneck Analysis: Use the "Begins With" filters to see where users drop off. If many paths start with a click but never reach a second touchpoint, your follow-up retargeting may be missing.

• Strategic Timing Decisions: Analyze if certain sequences perform better over longer vs. shorter windows to plan your ad delivery and remarketing schedules.

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Best practices using Compose Model Query

Scenario	How to set up	Metrics to include	What to look for	Strategic Decision
Strategy-Level Path Analysis	Customize paths to represent specific strategies (e.g., "Competitor Attack" vs. "Brand Defense").	Path UV, Total ROAS, Total Product Sales.	The specific sequence of strategies that leads to the highest purchase volume.	Reallocate budget to the campaign strategy or creative form that dominates successful paths.
Full-Funnel Validation	Set "Begins With: DSP" and "Ends With: SP" nodes.	Path UV, Total PR UV, Total Product Sales.	High volume paths showing a clear transition from Display to Search.	Increase DSP budget to "feed" the search funnel if these paths show high efficiency.
New-to-Brand Journey Mapping	Filter paths by high Total NTB Purchase UV.	Percentage of NTB Purchase UV, Total NTB ROAS.	Paths that consistently result in first-time brand purchases.	Double down on the "First Touch" ad types found in these high-NTB sequences.

 

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From Insight to Action: Applying Path Data

In a multi-touch ecosystem, success is defined by how well your tactics work together to guide a shopper through the funnel. Use the Path to Conversion model to identify which campaigns or ad types are most effective at driving traffic, engaging prospects, and closing sales.

1. Identify Your Tactic Roles

Analyze the frequency of specific nodes (campaigns, strategies, or ad types) at different positions in the journey to determine their strategic value:

• The Drivers (First Touch): Identify which campaigns or ad types consistently appear as the first reach in the sequence.

• The Engagers (Mid-Touch): Identify tactics that frequently appear in the middle of paths with 3+ touchpoints.

• The Closers (Last Touch): Identify which campaigns or ad types are most common as the final touchpoint before a purchase.

 

2. Evaluate High-Value Paths

Use the table and sorting functions to isolate the specific sequences that drive your primary business objectives:

• Acquiring New-to-Brand (NTB) Shoppers: Sort your paths by Total NTB Purchase UV or Percentage of Total NTB Purchase.

• Maximizing Conversion Volume: Evaluate paths with the highest Total Purchase UV and Total Product Sales.

• Optimizing Profitability: Sort by Total ROAS to find the most efficient ad journeys.

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Data Logic and Model Limitations

• Trigger Conditions: DSP and SD-vCPM ads use impressions as the trigger, while SP, SB, and SD-CPC use clicks.

• Custom Nodes: You can define up to 20 custom nodes based on specific campaigns, product lines, or strategies.

• Merge Processing: Continuous exposures of the same ad type are merged (e.g., DSP->DSP->SP becomes DSP->SP) but all associated costs are aggregated.

• Path Splitting: If a user makes a purchase, the path is split (e.g., DSP->SP->Purchase->SB becomes DSP->SP and SB).

• Privacy Thresholds: AMC filters out any conversion path that has fewer than 2 unique users per month to protect privacy.