Behavioral analytics

Events tell you what happened. Behavior tells you what's next.

Behavioral analytics joins clicks into meaning: this visitor returned, searched, compared, and stalled. That synthesis — intent and memory — is what drives recovery, personalization, and agents.

Try Tradly Memory How it works

The distinction

Behavioral vs event analytics

Both capture data. They answer different questions.

	Event analytics	Behavioral analytics
Best at	Counts, flows, SQL	Intent, memory, next action
Granularity	Individual events	Per-visitor journeys
Output	Dashboards to query	Answers to act on
Personalization	Not included	Built from intent
Agent/MCP access	Rare	First-class

The pattern

The behavior layer in practice

Raw events are the input; per-visitor memory is the output. The pipeline is continuous: capture pages and clicks, filter the bots, join the visits into a profile, and expose that profile as intent an agent or a recommender can read.

Memory is the multiplier

A behavior that returns across sessions is stronger evidence than a spike in clicks. Memory is what separates a real buyer from a curious glance.

Isolation keeps it defensible

A behavioral layer that matters works inside hard tenant boundaries — your customers' data, separated and safe.

What you get

A behavior layer, not another dashboard

Events → intent

Clicks become a story per visitor.

Memory across visits

Return behavior accumulates, anonymously.

MCP for agents

The same intent feeds your AI stack.

Stop storing events. Start acting on intent.

Behavioral analytics with memory, recommendations, and agent access — tenant-isolated and free to start.

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