Amazon Ads – User Segmentation

Audience Strategy for Amazon Ads: Data-Based Definition of Audiences, Customer Journeys, and Workflows

Effective audience strategies in Amazon Ads rely on structured segmentation. To operationalize a strategy that aligns with campaign goals, a precise, privacy-compliant, and measurable approach to segmentation is crucial. This page outlines how a data-based audience strategy can be developed and implemented.

Amazon Ads Audience Strategy: Concept, Technical Setup, and Activation Readiness

New-to-Brand Purchasers

Example use cases may include scenarios such as the creation of a segment of customers who recently purchased from the brand for the first time, based on AMC’s new-to-brand signals. These users can be targeted for cross-selling or retention campaigns via Amazon DSP.

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High-Frequency Non-Converters

Audiences are defined based on repeated engagement with ads or product detail pages without a resulting purchase. Digitl uses AMC to identify these users and activate retargeting strategies that support conversion, creative variation, or incentive testing.

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Category Shoppers With Competitive Purchases

Using item category and brand signals, Digitl builds audiences of users shopping within the brand’s category but recently purchasing competitor products. These segments are used for conquesting strategies via Amazon DSP.

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Lapsed Repeat Buyers

Digitl identifies segments of users with past repeat purchase behavior who have shown reduced activity in recent periods. These audiences can be activated for win-back campaigns with messaging focused on re-engagement or loyalty offers.

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High-Value Cart Abandoners

AMC signals are used to build audiences of users who added high-basket-value items to their cart but did not complete checkout. These segments are prioritized for retargeting in Sponsored Display or with DSP campaigns, often with dynamic product messaging.

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Contextual Stream & Shop Audiences

In this case, audience segments combining Prime Video engagement and product category interest – such as users watching fitness content and browsing related products – are enabled. These audiences can be used for contextually aligned campaigns across video and display formats.

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Additional Services by Digitl for Amazon Ads

Marketing Technology Services that support Amazon Ads teams with knowledge and resources about Tech and Data.

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Implementation

Setup and integration of Amazon advertising within marketing infrastructure, including the implementation of triggers and tags for performance tracking and advanced analysis.

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AI

Gemini, ChatGPT, and other AI models to increase efficiency of media buying and optimization of workflows by using AI Agents and GenAI modules.

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Dashboards & Reports

Automated aggregation of data for KPI reporting to analyse the effect and performance of Amazon Ads campaigns. Creation of appealing Dashboards that go beyond pure metrics.

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Data Integration

Integration of Offline, CRM or User data. Use predictions of CLV or other KPIs in your marketing technology infrastructure to activate them with Amazon Ads campaigns.

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Process Automation

Orchestration of automated workflows in AWS, Azure or Google Cloud for data activation, predictions, advanced analysis or reporting to drive efficiency of Amazon Ads campaigns.

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Advanced Analysis

Advanced analysis of Amazon Ads campaigns with audience demographics, content performance analysis, and cross-channel attribution modeling to understand its true impact.

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Attribution

Advanced attribution modeling for Amazon Ads, beyond last-click analysis to understand the customer journey and assign credit across various touchpoints for accurate measurement of campaign effectiveness.

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Advanced Services

Custom technical solutions, data integration, scripts or workflow orchestration for advanced marketing technology stacks or in Cloud platforms (AWS, Azure, Google Cloud) to maximize efficiency.

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Tech Audit

Technical audit of Amazon Ads campaigns to evaluate the integrity and efficiency of tracking implementations. This includes a comprehensive review of pixels, tags, and audience lists to ensure accurate data collection and attribution.

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Marketing Mix Modeling

Marketing Mix Modeling (MMM) to analyze the impact of Amazon Ads campaigns on overall marketing performance or use statistics for incrementality testing to understand the added value on performance or branding KPIs.

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