Lytics
EcosystemCustomer data platform with AI-powered behavioral scoring and content affinity for personalized experiences.
Lytics is a CDP that emphasizes machine learning-driven behavioral scoring. The platform collects behavioral events and computes a range of predictive scores on each profile: purchase propensity, engagement level, content affinity, and churn probability. These scores are available via the profile API alongside standard attribute data.
The content affinity model is Lytics' most differentiated feature. The platform analyzes which content topics and product categories a shopper engages with most and stores these affinities as profile attributes. A shopper who repeatedly views running gear and athletic apparel has a running affinity score that Lytics maintains automatically. This kind of topic-level preference data is more granular than purchase history alone.
Lytics integrates with Google Cloud and uses BigQuery as an optional data warehouse connection. The data enrichment layer can pull third-party demographic and firmographic data to augment first-party behavioral profiles, adding context that behavioral signals alone do not provide.
For AI agents, Lytics behavioral scores serve as pre-computed signals that reduce the inference work the agent needs to do at query time. Rather than reasoning about a shopper's preferences from raw event history, the agent can read a pre-computed affinity score and use it directly to rank product recommendations or select promotional content for a UCP checkout flow.
Why This Matters for UCP
Lytics gives agents pre-computed purchase propensity and content affinity scores from its behavioral ML layer, supplying the preference signals UCP checkout flows use to rank product recommendations without raw event processing.
UCP Capabilities
UCP Endpoint
Ecosystem — Endpoint not yet publicly available
Integration Example
// Lytics Profile API: read behavioral scores and content affinity
// Agents use pre-computed scores to rank recommendations in UCP checkout flows.
const LYTICS_API = 'https://api.lytics.io/api';
const apiKey = process.env.LYTICS_API_KEY!;
const accountId = process.env.LYTICS_ACCOUNT_ID!;
// Fetch profile by email with behavioral scores
const profileResp = await fetch(
`${LYTICS_API}/profile/email/${encodeURIComponent(shopperEmail)}?account=${accountId}`,
{ headers: { Authorization: apiKey } }
).then(r => r.json());
const profile = profileResp.data;
console.log('User ID:', profile?._id);
// Behavioral scores (0-100, higher = stronger signal)
const scores = profile?.scores ?? {};
console.log('Purchase propensity:', scores.purchase_propensity);
console.log('Engagement score:', scores.engagement);
console.log('Churn risk:', scores.churn);
// Content affinity topics
const affinities = profile?.content_affinity ?? {};
const topTopics = Object.entries(affinities)
.sort(([, a]: any, [, b]: any) => b - a)
.slice(0, 3)
.map(([topic, score]) => `${topic}: ${score}`);
console.log('Top content affinities:', topTopics);
// Audience memberships
console.log('Audiences:', (profile?.segments ?? []).slice(0, 5));Category
Customer DataUCP Status
EcosystemTags
Pricing
paid
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Reviews
★★★★★4.7 (3 reviews)These are illustrative examples to show what reviews will look like. Submit your own experience below.
J. Santos
Senior Engineer · Feb 28, 2026
Integration was straightforward. The UCP endpoint discovery works as documented and checkout completes in under 2 seconds.
M. Lee
Backend Developer · Mar 3, 2026
Works well for our use case. The documentation is accurate and the implementation matches what the spec describes.
R. Kapoor
Platform Engineer · Jan 15, 2026
Integrated in an afternoon. Solid implementation with no unexpected edge cases in production.
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