Used For

• +**You're running separate campaigns for the same person across email, web, and mobile** → One unified profile shows their complete journey, so you stop sending cart abandonment emails to people who already bought
• +**Your sales team can't see that a 'new' lead has been engaging with content for 3 months** → Complete behavioral history shows up in CRM with engagement scores and content preferences
• +**You're guessing what products to recommend based on last purchase only** → AI analyzes complete behavior patterns across all touchpoints to suggest what they'll actually want
• +Natural language audience building - type 'frequent visitors who haven't purchased in 90 days' instead of building complex filters
• +Real-time behavioral scoring across 9 different engagement types without building custom analytics

Best For

• >Your marketing team is shooting blindfolded because customer data lives in 8 different tools
• >You know someone visited your site 15 times but can't figure out who they are when they finally buy
• >Your personalization attempts feel generic because you're missing half the customer story

Not For

• -Small teams under 50 people — you'll hit credit limits fast and the setup assumes you have dedicated marketing ops
• -Companies wanting simple email marketing — this is for complex multi-channel data problems, not basic newsletters
• -Anyone on a tight budget — starts free but scales to thousands per month once you're processing real traffic volume

Pairs With

• *Google BigQuery (where your enriched customer profiles get stored for deeper analysis)
• *HubSpot (gets fed the unified profiles so your email campaigns actually know who they're targeting)
• *Google Analytics (provides the web behavior data that Lytics stitches to email and purchase data)
• *Salesforce (receives the complete customer journey so sales knows someone's been researching for months)
• *Facebook Ads (gets audience segments that actually convert because they're based on real unified behavior)
• *Databricks (for the heavy data science work that Lytics behavioral scores make possible)

The Catch

• !Credit-based pricing means unexpected traffic spikes can throttle your data or blow your budget
• !You'll need someone comfortable with data mapping and schema management, despite the AI helper tools
• !Built for Google Cloud ecosystem — if you're not already there, you're adding another platform dependency

Bottom Line

Finally know if the person who abandoned their cart on mobile is the same one opening your emails on desktop.