Tradly MemoryAnalytics for agents
Analytics that answers your agents' questions, not just your dashboard's.
Agents need context to be useful. Analytics for agents means capturing visitor behavior, building scoped memory, and letting agents query the answer — not the whole data layer.
The short answer
Behavior is the intelligence. Activation is the outcome.
Analytics for agents combines behavioral capture, per-visitor memory, and a scoped query interface such as MCP. Agents receive concise, explainable answers about visitors and can recommend or perform the next action.
The operating loop
Signal → recommendation → activation
Behavior signal
Visitor returns, searches for a product, and reaches checkout but does not complete it.
Recommendation
Flag high intent and recommend a recovery action with the supporting signals.
Activation
Agent workflow, recovery email draft, support handoff, or review queue.
How to use it
One recommendation, multiple ways to act
Capture behavior once
Page views, searches, CTA clicks, returns, carts, and referral source are captured by a single script — no identity data required.
Expose scoped, queryable memory
Agents should ask "who is stalling?" and get an answer with the supporting signals, not raw event streams or full database access.
Return explainable recommendations
The agent should explain why a visitor is high intent or stalled, and what action is appropriate next.
Keep access least-privilege
Scope memory by tenant and task, apply retention rules, and log access so agent context improves without expanding exposure.
| Behavioral insight | Recommendation | Possible activation |
|---|---|---|
| Visitor returns, searches for a product, and reaches checkout but does not complete it. | Flag high intent and recommend a recovery action with the supporting signals. | Agent workflow, recovery email draft, support handoff, or review queue. |
| Low or unclear intent | Provide education or wait for a stronger signal | Guide, content module, or suppressed promotion |
| Completed or dismissed action | Stop repeating the same message | Frequency cap or exclusion rule |
Channel flexibility
The recommendation does not belong to one channel
The decision can be reused wherever the customer experience needs it. Choose the channel based on the visitor's context and your team's operating workflow.
Website
Personalized content, products, and calls to action
Pop-up
Contextual help, guidance, or recovery
Advertising
Intent audiences and message recommendations
Team or agent
Reviewable next-best actions and workflows
Turn visitor behavior into a customer action
Start with one signal, one recommendation, and one activation channel. Expand when you know what helps.
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