Amazon Ads – Marketing Mix Modeling

Use Data Science to Analyze the True Effect of Amazon Ads

Marketing Mix Modeling (MMM) integrates Amazon Ads into holistic channel evaluation. This approach estimates the actual impact on conversions and revenue beyond click-based attribution. The model calculates ROI, saturation, and channel contribution, offering a clearer view of how Amazon Ads drive business outcomes in relation to the full media mix.

What Marketing Mix Modeling Delivers

Maximize ROI

Marketing Mix Modeling helps quantify the contribution of each channel to business outcomes. By identifying the most effective drivers of performance, budget allocation can be optimized to increase overall return and support long-term growth.

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Focus Marketing Spend

MMM provides a structured view of how different marketing channels contribute to conversions. This enables precise budget planning using scenario-based simulations to shift investments toward high-performing channels with measurable impact.

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Unbiased Cross-Platform Analysis

MMM replaces siloed or channel-specific reporting with a unified, model-based view of performance. It provides a statistically sound approach to compare the real impact of different media – including display, video, and offline – on sales.

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Prove the Value of Activation Initiatives

By using aggregated media inputs and statistical modeling, MMM can assess the role of viewable impressions in conversion without relying on cookies, click attribution, or user-level identifiers. This supports a privacy-compliant evaluation of upper-funnel media.

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Budget Optimization

MMM enables forward-looking planning by modeling marginal returns, carry-over effects, and saturation. Scenario planners help answer where additional budget would generate the greatest incremental lift in sales.

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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 active it 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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User Segmentation

First-party data based on demographics, interests, behavior, and engagement patterns to activate audiences or analyze the effect and performance of Amazon Ads campaigns.

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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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Meridian Partner

Digitl is a certified company for various products and services from Google. This covers tools of the Google Marketing Platform and Google Cloud. The certification ensures high quality, know-how and a close collaboration with Google to get information about features, trends, bugs, betas and more.

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