Analytics agent

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How is net revenue retention tracking against plan?

Thought for 6 seconds

Company net revenue retention was 109% in June, ahead of the 105% plan. One region is behind.

Ask anything about your data…

Attach a page

What was net revenue retention last month?

Net revenue retention was 109% in June, up from 106% in May.

monthly_nrr.sql
“Quick” questions
A direct answer, with the chart, the query, and the source behind each number.

Run a health check on Vandelay Industries.

Vandelay Industries

Usage
+18% QoQ
Open tickets
4
Renewal
August 14
Expansion
2 opportunities

insights/vandelay-health-check.md

Customer health checks
Usage, support, renewal, and expansion signals brought together in one review.

How did the April release affect team activation?

Enterprise Mid-market
April

Why is mid-market flat?

Product deep dives
Adoption across segments, where behavior changed, and follow-up questions from there.

Which deals slipped out of Q3?

3 deals moved to Q4, $244k in total.

Slipped this quarter

Kruger Industrial
$120k
Pendant Publishing
$84k
Play Now
$40k

insights/q3-slippage.md

Pipeline reviews
What moved and what slipped, with the accounts to look at before the call.

Why did churn tick up in June?

Almost all of it is SMB, on the plans that renew monthly.

Churn, month over month

SMB
+1.8 pts
Mid-market
+0.3 pts
Enterprise
Flat
Churn investigations
Where retention moved, split by the segments your team already reports on.

Draft the metrics section of the board update.

Q3, as reported

ARR
$14.2M
Net new ARR
+$1.6M
Net revenue retention
109%
Payback
14 months

insights/q3-board-update.md

Board prep
The numbers for the update, pulled from the pages finance already reviews.

Understands your project

Every page is context
Every dashboard and report you build can be read and interpreted by the agent.
Reads your components
The agent can translate every Evidence component into the query underneath it.
Knows the page you are on
Ask about the report in front of you. The agent reads the filters you applied, and can change them.

pages/revenue/overview.md

Agent lens

Revenue
{% big_value data="fct_contracts" value="sum(acv)" /%}
```sql big_value
select sum(acv) as value
from fct_contracts
```
{% line_chart data="fct_contracts" value="sum(acv)" x="contract_date" grain="month" /%}
```sql line_chart
select date_trunc('month', contract_date) as month,
sum(acv) as value
from fct_contracts
group by 1
order by 1
```

Works everywhere

Chat with the agent in Evidence Studio, Slack, Claude Desktop or ChatGPT. Give any tool with MCP support governed access to your Evidence reports, dashboards and the Evidence agent.

Slack
Claude
ChatGPT
Model Context Protocol

Builds new insights

Anyone on your team can ask a question and save the answer as an insight they can share.

Built in Evidence markdown
Every insight is written in Evidence markdown, so it is easy to review or extend.
Methodology comes too
The prompt and the implementation notes are stored with the insight, ready to regenerate it or take it further.
Folds into your pages
Seamlessly lift the work out of an insight and into the reports and dashboards your team maintains.
Insight

EMEA net revenue retention

Retention landed at 104% in June, down from 112% in May. Two enterprise accounts downgraded at renewal.

Region

EMEA
Net revenue retention by month
115%105%
DecJanFebMarAprMayJun

Net revenue retention, June

104%

Change by segment, points of retention
Enterprise
Mid-market
SMB

Ask about this insight

Learns your business

Extend the agent with custom context and skills in your repo.

Custom context
Extend the agent's knowledge with the documents your team already keeps: metric definitions and targets, glossaries, data provenance, business and process documentation.
Custom skills
Guided analytical procedures that are more flexible than a dashboard: the questions to ask, the key steps to work through and the components that present the result.