Does it change anything in my CRM or analytics?

No — it's read-only analysis. It looks at your connected data and reports what's moving; your CRM and analytics stay exactly as they were. Read more in our security overview.

What tools does it need?

Your CRM (like HubSpot, Salesforce, or Attio) is enough to start. Connect product or web analytics and the readout picks up usage signals and traffic-source shifts too.

How is this different from my weekly metrics report?

A metrics report tells you the numbers moved; this tells you why it matters. It leads with the interpretation — the new segment, the changed lead quality — and keeps the raw numbers as supporting evidence, skipping weeks where nothing genuinely shifted.

Signup and Pipeline Readout

Signup and Pipeline Readout is a routine your Townie AI assistant runs once a week: it reads who's signing up and entering your pipeline against your recent baseline, finds the shifts that are genuine rather than noise, and sends a short readout of what changed, the evidence, and what it means for targeting and spend. It analyzes; it never changes your CRM or analytics.

To: your Townie

Subject: Create me a Signup and Pipeline Readout routine

Build me a routine that surfaces what's quietly changing in my signups and pipeline each week — the shifts I'd otherwise miss — as an analysis of what changed and what it means, not a numbers dashboard.

Run it once a week on a schedule.

When it runs:
- Look across my CRM (and product/analytics data if connected) at who's signing up and entering pipeline this week versus my recent baseline.
- Find the shifts that matter: a new industry or persona suddenly showing traction, a source or channel bringing a different kind of lead, a use case people are adopting, a segment accelerating or going quiet, product-usage signals worth noticing.
- For each, tell me what changed, the evidence behind it, and what it might mean for how I target, message, or where I spend — the interpretation, not just the delta.

Details that matter to me:
- This is 'what changed and what it means,' not a metrics table — lead with the story, keep raw numbers as support.
- Only surface genuine shifts versus my baseline, not normal week-to-week noise.
- Point me to the specific segments/records so I can dig in, and suggest what I might do about each.

Output: a short weekly 'what's shifting' readout delivered to me — a handful of real changes, what they mean, and a suggested next move.

My default: this is analysis for me, so run it and send it on your own; don't change anything in my CRM or analytics — just tell me what's moving.

Before you build this, tailor it to the integrations I actually use and what you already know about me. Don't take the above at face value — ask me the critical questions that make it stronger: which tools and integrations to use, what the output should look like, and how much autonomy you should have (what to do on your own vs. check with me first).

Sent when you sign up — works as-is, or edit anything.

Get started with this routine

See it work: the shift you'd have missed

Catch the signup and pipeline shifts I'd otherwise miss

How this routine works

Works with

It runs once a week
On your schedule, your Townie looks at who signed up and entered pipeline this week — and compares it against your recent baseline, not last week alone.
It separates shifts from noise
A new industry gaining traction, a channel bringing a different kind of lead, a segment going quiet, a use case spreading — only the changes that are genuine against your baseline make the cut.
You get the story, not a table
A short readout: what changed, the evidence, what it means for targeting and spend, and a suggested next move — with links to the records so you can dig in.

Signup and Pipeline Readout FAQ

It's a routine your Townie AI assistant runs once a week: it reads who's signing up and entering your pipeline versus your recent baseline, finds the genuine shifts — a segment gaining traction, a channel changing, a use case spreading — and sends a short readout of what changed, the evidence behind it, and what it means for how you target and spend.