An Introduction to Innkeepr

This page provides a high-level overview of Innkeepr—what it is, how it works, and where it fits in your marketing infrastructure. For implementation details and API documentation, skip to the technical guides.

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What is Innkeepr?

Innkeepr is the signal optimization platform that sits between your customer data and marketing stack. We transform behavioral data into incrementality-optimized audience and conversion signals that make platform algorithms smarter. Just as Segment unified customer data across your stack, Innkeepr makes your marketing stack incrementality-aware. Collect interaction data from websites, apps, and backend systems—then activate it as causal signals that flow directly into Google, Meta, TikTok, Amazon, and other platforms.

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What does it do?

Innkeepr processes first-party behavioral data through causal AI to generate two types of signals: Audience signals identify users most likely to deliver incremental value—enabling platforms to reach high-impact segments through lookalike expansion or exclude low-value traffic before budget is spent. Conversion signals weight each conversion by its incremental contribution—training bidding algorithms to optimize for true business impact rather than baseline behavior. These signals sync automatically to connected platforms. No manual exports, no CSV uploads, no repeated audience builds. Once configured, Innkeepr continuously streams incrementality-optimized signals to your marketing stack.

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How does Innkeepr work?

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Core concepts

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Treatment effects

Quantified incremental impact of marketing touchpoints (ad sets, campaigns, channels) on defined business objectives. Treatment effects isolate what marketing caused versus what would have happened anyway—forming the foundation for all signal generation.

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Audience signals

Custom audience segments built from treatment effect predictions. Use them to seed lookalikes with high-incrementality users, suppress spend on low-lift traffic, or target segments by predicted CLV contribution. Syncs as Custom Audiences (Meta), Customer Match (Google), or equivalent formats across platforms.

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Conversion signals

Conversion values adjusted by incremental contribution. Instead of passing raw transaction amounts to platform algorithms, Innkeepr weights each conversion based on its predicted lift over baseline—ensuring bidding optimizes for causation, not correlation.

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Objectives

Measurable business outcomes that define what Innkeepr optimizes for: customer lifetime value, purchase probability, retention likelihood, new customer acquisition. Define multiple objectives to optimize different growth surfaces or run parallel analyses.

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Destinations

Innkeepr connects directly to your marketing and data infrastructure:

• Media platforms: Meta Ads, Google Ads, TikTok Ads, Amazon Ads, Criteo
• Lifecycle marketing: Klaviyo, Braze, Iterable, Customer.io
• Data warehouses: Snowflake, BigQuery, Redshift, S3
• E-commerce platforms: Shopify, WooCommerce, Magento

Signals flow through standard platform APIs—Custom Audiences, Customer Match, conversion events, and offline conversion uploads. No custom integrations or middleware required.

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Privacy & governance

Innkeepr is privacy-first infrastructure. The platform supports:

• Flexible data ingestion controls and PII handling policies
• Configurable identity resolution (anonymous, pseudonymous, or known users)
• Compliance frameworks: GDPR, CCPA, PIPEDA
• Data isolation: your data never mixes with other customers or trains shared models
• Granular access controls and audit logging

All signal generation happens within your workspace. Innkeepr processes behavioral data to create signals—it doesn’t store or share raw PII with platforms beyond what’s required for audience matching.