LiveRamp has teamed up with Scowtt to embed AI‑powered predictive models directly into its data‑collaboration network, letting marketers turn first‑party CRM data into real‑time audience scores without overhauling existing workflows. The plug‑and‑play integration promises up to 40% higher ROAS, privacy‑safe activation, and seamless access to third‑party insights—all from a single interface.
How the Integration Works
The partnership weaves Scowtt’s AI engine into LiveRamp’s deterministic identity graph. When you upload CRM records, the AI churns them into predictive signals that instantly enrich each identifier in the graph.
AI Engine and First‑Party Data
Scowtt ingests your first‑party data, cleanses it, and generates a score that predicts conversion likelihood. Because the process runs inside LiveRamp’s secure environment, you retain full control over data privacy.
Predictive Scores in Real Time
Those scores travel to any major ad platform, enabling dynamic bidding and audience selection without a separate tagging layer. The result is continuous optimization that reacts the moment a user’s likelihood to convert shifts.
Benefits for Marketers
- Higher ROAS: Early adopters see more than 40% lift in return on ad spend.
- Privacy‑first operation: Your data never leaves your trusted environment, yet you still get AI‑driven insights.
- Streamlined workflow: No need to build custom models or manage extra tech stacks.
Boosted Efficiency
Because the AI models are pre‑built, you can skip hiring data scientists and focus on creative strategy. You’ll spend less time on engineering and more on testing winning creative.
Simplified Tech Stack
The combined solution merges identity resolution and predictive scoring into one interface. Agencies managing multiple clients can activate scores across display, video, and social channels with a single click.
Real‑World Feedback
A senior media buyer at a mid‑size e‑commerce firm told us the ability to “activate predictive scores without rewriting our tag hierarchy” saved weeks of development. After piloting the models on a subset of CRM records, his team observed a noticeable uptick in conversion rates, though they emphasized that results depend on data quality.
What You Should Consider
If you’re ready to let AI decide where your next ad dollar lands, start by mapping your CRM fields to the required inputs and test on a small audience segment. Keep an eye on privacy compliance and monitor performance daily—AI can boost results, but it still needs your strategic guidance.
