Amazon Ads – Advanced Services
Amazon Ads – Advanced Services
Stable Foundation of Well-Integrated Systems
Stable Foundation of Well-Integrated Systems
Advanced marketing analytics for Amazon Ads requires a stable foundation of integrated systems. Digitl provides the technical setups to connect Amazon Ads components into a cohesive, scalable environment, supporting accurate analysis, attribution, and long-term measurement.
Stable Foundation of Well-Integrated Systems
Stable Foundation of Well-Integrated Systems
Advanced marketing analytics for Amazon Ads requires a stable foundation of integrated systems. Digitl provides the technical setups to connect Amazon Ads components into a cohesive, scalable environment, supporting accurate analysis, attribution, and long-term measurement.
Technology Stack for Scalable Amazon Ads Operations
Technology Stack for Scalable Amazon Ads Operations
Sponsored Ads Data
Sponsored Ads Data
Sponsored Ads data – including impressions, clicks, spend, and conversion signals – serves as a foundational input for downstream analytics in Amazon Marketing Cloud. Sponsored Products, Sponsored Brands, and Sponsored Display contribute structured media exposure data that can be modeled across attribution, incrementality, and pathing analyses.
Programmatic Ad Delivery Data
Programmatic Ad Delivery Data
Amazon DSP provides detailed data on programmatic ad delivery across Amazon and third-party inventory. It plays a critical role in measurement and audience-based reporting. DSP campaign metadata and delivery logs are often joined with Sponsored Ads data to enable cross-channel insights in AMC.
Privacy-Safe Analytics
Privacy-Safe Analytics
Amazon Marketing Cloud is Amazon’s privacy-safe analytics environment. It enables the querying of event-level ad data from Sponsored Ads, Amazon DSP, and external advertiser data. AMC is used to build custom attribution models, calculate incrementality, reconstruct customer journeys, and evaluate audience reach and frequency.
Amazon Ads API
Amazon Ads API
The Amazon Ads API facilitates access to campaign structures, targeting, and performance data at scale. It allows integration into cloud pipelines for automated data collection and supports technical use cases such as data syncing, normalization, and metadata enrichment – especially relevant for BI reporting or Marketing Mix Model (MMM) input preparation.
Cloud Data Connector
Cloud Data Connector
The Digitl Cloud Connector is a fully managed infrastructure service that automates the extraction, transformation, and loading (ELT) of data from Amazon Ads and other marketing platforms into centralized cloud environments such as BigQuery. It enables advanced reporting, modeling, and analytics by providing structured, query-ready datasets across media and retail sources. Built on open-source technologies like Kubernetes and DBT, the service supports flexible data flows, handles API orchestration, and ensures seamless operation across multi-cloud environments. Digitl maintains and monitors the entire pipeline – so internal teams can focus on extracting value from data, not maintaining infrastructure.
Orchestration & Automation Platforms
Orchestration & Automation Platforms
Digitl uses solutions like Data Build Tool (DBT) and Dagster to orchestrate complex, asset-driven data workflows across Amazon Ads and connected platforms. Dagster handles the orchestration layer, coordinating dependencies and enabling automated pipeline monitoring, testing, and modular execution. DBT is used for SQL-based transformation, data modeling, and validation to ensure consistency and analytical quality. Together, these tools enable automated, scalable, and fully monitored pipelines that transform raw marketing and retail data into query-ready datasets. This orchestration layer underpins the Digitl Cloud Connector, making it possible to manage hundreds of pipelines with minimal overhead, simplify client onboarding, and deliver accurate, timely data for advanced analytics and reporting.
Additional Services by Digitl for Amazon Ads
Additional Services by Digitl for Amazon Ads
Marketing Technology Services that support Amazon Ads teams with knowledge and resources about Tech and Data.
Implementation
Implementation
Setup and integration of Amazon advertising within marketing infrastructure, including the implementation of triggers and tags for performance tracking and advanced analysis.
AI
AI
Gemini, ChatGPT, and other AI models to increase efficiency of media buying and optimization of workflows by using AI Agents and GenAI modules.
Dashboards & Reports
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.
Data Integration
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.
Process Automation
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.
Advanced Analysis
Advanced Analysis
Advanced analysis of Amazon Ads campaigns with audience demographics, content performance analysis, and cross-channel attribution modeling to understand its true impact.
Attribution
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.
User Segmentation
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.
Tech Audit
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.
Marketing Mix Modeling
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.
Are you interested?
Are you interested?
Contact us today to start your journey towards digital success!
Contact us today to start your journey towards digital success!
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