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    MCPClaude AgentDSPTypeScriptREST API

    ADTECH

    Agentic MMM Technology Stack for Advertising and Media Buy

    We build integrated, AI-ready marketing mix modeling platforms that connect Meta, Google Ads, TikTok Ads, and other programmatic and custom media buy platforms to autonomous AI agents — enabling campaign optimization through natural language.

    ARCHITECTURE

    Integrated & AI-Ready

    Optimized and connected by Stavio's Development Studio. Each layer feeds data upward while AI agents push actions downward — creating a closed-loop optimization system.

    AI AgentsMedia Planner AgentMedia Buyer Agent...INTEGRATIONLAYEROptimizationChannel OptimizerCampaign Optimizer...MeasurementMarketing MixModelExperimentsPromotionsmodeling...Processed DataDataharmonizationHierarchyData validation...Raw data & Adplatform APIsMetaGoogle AdsTikTok AdsShopifyGA4...Analyze optimizationopportunitiesAnalyze pastperformanceAnalyze basicdata questionsPush biddingupdates toAd Platforms

    THE PROBLEM

    Fragmented ad operations

    Teams manage campaigns across Meta, Google Ads, TikTok Ads, and Shopify — each with its own dashboard, bidding logic, and reporting format. Media buyers spend hours manually pulling data, cross-referencing performance, and adjusting bids across platforms.

    Without a unified measurement layer, it is impossible to understand true channel contribution or optimize spend holistically.

    OUR APPROACH

    AI-native integration layer

    We design a five-layer technology stack that harmonizes raw platform data, applies marketing mix modeling for measurement, optimizes bids through automated algorithms, and exposes everything through an MCP integration layer to AI agents.

    Claude-powered agents analyze optimization opportunities, review past performance, and push bidding updates to ad platforms — all through natural language commands.

    THE STACK

    Five layers, one system

    01

    Raw Data & Ad Platform APIs

    Connectors to Meta, Google Ads, TikTok Ads, Shopify, and GA4. Data is ingested in near real-time and normalized into a common schema.

    02

    Processed Data

    Data harmonization, hierarchy mapping, and validation ensure clean, trustworthy inputs for all downstream models.

    03

    Measurement

    Marketing Mix Modeling, incrementality experiments, and promotions modeling provide ground-truth attribution across channels.

    04

    Optimization

    Channel optimizer handles budget allocation and revenue forecasting. Campaign optimizer sets optimal bid values at the campaign and ad set level.

    05

    AI Agents

    Media Planner and Media Buyer agents connect via MCP to analyze opportunities, query data, and push real-time bidding updates back to platforms.

    WHO IT'S FOR

    Custom-built for teams that scale

    We develop this as a fully custom solution — tailored to each client's data sources, KPIs, and internal workflows. No two deployments are alike.

    Agencies

    Media and performance agencies managing multi-client, multi-platform ad spend. We integrate your existing tooling and build agent workflows that match how your teams already operate.

    In-house marketing teams

    Enterprise and scale-up marketing departments that need unified measurement and AI-powered optimization across all channels — without relying on fragmented SaaS dashboards.

    WHAT YOU GET

    Expected outcomes

    5×

    Faster campaign setup

    30+

    Automations replaced

    −40%

    Manual reporting time

    1

    Unified data model

    Interested in this stack?

    Let's discuss how an AI-native integration layer can transform your ad operations.