AdTechAdvertisingmedium complexity

A simplified cross-channel marketing attribution tool that combines real-time tracking, geo-holdout tests, and basic MMM insights to help mid-sized companies measure conversion impact without complex in-house teams

Jan 27, 2026

Why Suitable for Solo Developer

Core functionality uses existing ad platform APIs, open-source stats tools, and web frameworks (React/Node). No need for large teams; focus is on integration and simplification rather than complex enterprise features.

Market & Users

Target audience and use cases

Target User

Mid-sized company marketing operations manager or ad spend analyst with search/social experience but limited programmatic/CTV measurement expertise, responsible for justifying cross-channel ad spend to leadership.

Use Case

When expanding into new channels (e.g., CTV) or optimizing existing cross-channel spend, needing to measure which channels drive actual conversions to justify budget to the CMO and avoid wasting ad spend.

Pain Point

Mid-sized companies can’t clearly tell which channels (especially programmatic and CTV) are driving actual conversions vs just getting credit, making it hard to justify expanding into new channels like TV to leadership. Current solutions are either too expensive (MMM), biased (platform attribution), or complex to implement (incrementality tests).

Frequency: mediumIntensity: high

Current Solution Limitations:

MMM is costly and slow; platform attribution is biased; incrementality tests are hard to set up; no integrated tool combines real-time tracking, geo-holdouts, and basic MMM for mid-sized companies without dedicated analytics teams.

Competitive Landscape

Direct competitors: Keends, Exactag. Indirect alternatives: Manual workflows (shutting off channels, manual geo-holdouts), in-house analytics teams (costly), enterprise MMM services (expensive), platform-specific attribution (biased).

Product & Business Model

Product features and monetization strategy

Product Description

Web-based micro SaaS that integrates with Meta, Google, programmatic, and CTV platforms to: 1) Track real-time conversion attribution; 2) Automate geo-holdout test setup for CTV/programmatic; 3) Provide simplified quarterly MMM insights; 4) Combine data into a dashboard showing conversion impact vs credit, with budget recommendations. Simpler than enterprise tools and more integrated than manual workarounds.

Monetization Model

Tiered subscription: Basic ($99/month, 3 channels + real-time tracking); Pro ($299/month, unlimited channels + MMM insights); Enterprise ($999/month, custom integrations + support). Rationale: Affordable for mid-sized companies, cheaper than consultants/enterprise MMM.

Willingness to Pay

Users are already paying for expensive MMM services or consultants, and this is a must-have for ad spend efficiency. They’d pay for a tool cheaper than enterprise MMM and easier than manual workarounds.

Growth Strategy

User acquisition channels and distribution

Acquisition Channel

Reddit communities (r/programmatic, r/marketing), LinkedIn marketing operations groups, targeted Google ads for "mid-sized company attribution", content marketing (blog posts on cross-channel attribution challenges).

Product Complexity

Implementation complexity and technical considerations

Product Complexity

Complexity Level: medium

Requires ad platform API integrations, simplified MMM modeling (using open-source stats libraries), and dashboard UI. MVP achievable in 3-6 months; maintenance involves occasional API updates but manageable for a solo dev.

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