ANALYTICS

Your weekly revenue report, built by agents

Agents connect to Google Analytics, Stripe, and your production database to generate weekly business intelligence reports. Revenue trends, funnel analysis, conversion metrics, and visual dashboards — delivered automatically.

What you get

Revenue tracking

Stripe MRR pulled directly from your account — week-over-week and month-over-month comparisons, new revenue, churned revenue, and net growth calculated automatically.

Funnel analysis

GA4 sessions combined with database signups and Stripe conversions to build a full-funnel view: visits → signups → paid. Drop-off points identified at every stage.

Page value analysis

Which landing pages and blog posts actually drive conversions? The agent maps GA4 page data to signup and payment events so you know where your revenue comes from.

Visual dashboard

Charts, trend lines, and KPI cards rendered as an interactive artifact — MRR over time, funnel conversion rates, traffic sources, and top-performing pages in one view.

Automated comparison

Every metric compared against last week and last month with growth percentages. The agent highlights what improved, what declined, and what needs attention.

Done by an agent. Zero human effort.

Schedule it weekly. The agent pulls data from GA4, Stripe, and your production database every Monday morning, generates a visual dashboard, and posts the highlights to Slack before your team standup.

Analytics Agent · Weekly BI Report Complete
> Pulling GA4 data: 14,283 sessions, 42,910 pageviews, 38.2% bounce rate
> Pulling Stripe data: $24,850 MRR, 12 new subscriptions, 3 churned
> Querying production DB: 847 signups this week, 3,214 active users

Funnel analysis:
> Visits 14,283 → Signups 847 (5.9%) → Paid 12 (1.4%)
> Drop-off highest at signup form (62% abandon rate)
> Top page /pricing converts at 8.3% (vs 5.9% site avg)

Week-over-week:
> MRR +$1,200 (+5.1%) vs last week
> Sessions +1,840 (+14.8%) vs last week
> Signups +93 (+12.3%) vs last week

✓ Visual dashboard saved as artifact
✓ Weekly summary posted to #revenue on Slack
Duration: 32m · Next scheduled run: Monday 7:00 AM
HOW TO SET IT UP

For CRHQ clients

1

Enable the required skills

Make sure these skills are active on your satellite:

2

Tell the agent what to report on

Example prompt:

"Generate a weekly BI report. Pull sessions, pageviews, bounce rate, and top pages from GA4. Pull MRR, new subscriptions, churned subscriptions, and net revenue from Stripe. Query the production database for user signups and active users this week. Build a full-funnel analysis from visits to signups to paid conversions. Compare all metrics vs last week and last month. Create a visual dashboard with charts and post a summary to #revenue on Slack."
3

Schedule weekly runs

Set up a recurring Monday morning schedule so the report lands before your team standup. Over time, the agent builds historical context and highlights trends automatically. Use the schedule skill to automate it.

ADVANCED TIPS

Get more out of this workflow

Compare actual financial results period over period

Tell the agent to calculate growth rates over multiple timeframes — week-over-week, month-over-month, and quarter-over-quarter. This surfaces whether a metric spike is a trend or a blip, and gives you the context to make decisions without digging into spreadsheets.

Use delegation to pull from multiple sources in parallel

When pulling from GA4, Stripe, and your database, the delegation skill can spin up sub-agents that query each source simultaneously. One agent handles GA4, another handles Stripe, another queries your database — and the lead agent compiles everything into a single report. Cuts report generation time significantly.

delegation

Store reports in project documents for historical tracking

Tell the agent to save each week's key metrics to project documents. Over months, this builds a structured dataset the agent can reference — making trend analysis richer and enabling questions like "how did our funnel change after the pricing page redesign?"

manage-project-documents

Combine with customer 360 for deeper insights

Pair your revenue dashboard with a customer-level view. When the agent spots a churn spike or conversion drop, follow up by analyzing individual customer journeys — which segments churned, what features they used, and what their last interactions looked like. Data tells you what happened; customer context tells you why.

Know your numbers.
$299/month per satellite. Bring your own AI model. Deploy in 90 seconds.