Loop
Agent Attribution
Capture every agent and seller action, then trace it back to the revenue they create.
THE PROBLEM
Do you know when your agents help close deals?
Your agents log activity: triggers, tool calls, and tokens spent. But it's all just an activity metric, while your CRO's asking about the revenue outcomes.
- Agent activity · no revenue link Activity only
- Claude → 14 tool calls · 8.2K tokens
- Copilot → 7 triggers · 3.1K tokens
- Custom → 22 actions · 12K tokens
3 agents active · 0 deals attributed
Observability watches the agent. It never watches the revenue.
WHY IT HAPPENS
LLM observability tells you latency, error rates, and token spend. But it never joins an action to a deal, an account, or a closed-won dollar.
HOW IT WORKS
Agent Attribution in three steps.
01
Log every agent and seller action.
Loop captures tool calls, triggers, and actions in real time alongside the rep activity on the same deal.
02
Match each action to its revenue outcomes.
Actions are joined to the deal, account, and stage with context, so metrics like conversion rate, ACV and cycle times are all attached to the work that drove it.
03
Report impact in revenue.
Run the analysis to isolate impact across deal variables, creating your "attributed revenue" metrics with the full trace you can audit and defend.
Customer Outcomes
Teams that ship attribution see compounding results.
100%
Actions traced to revenue
3.1x
Agent-assisted close rate
<1hr
Time to first attribution
"Fluint gave us months of AI engineering work with a single integration. Now everything we build is grounded in how we win, with the right context for every chat, skill, agent and seller."
Quincy L, GTM AI Lead
Defensestorm
HOW IT COMPARES
Fluint vs. AI observability tools. Why telemetry isn't enough.
Observability watches the agent. Fluint watches the revenue.
Questions about Agent Attribution.
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See what your agents actually closed.
Connect your CRM and one call source and get your first attributed outcome the same session.