Analytics / sales

Sales and funnels

A screen where you can see not only the final revenue, but where exactly the deal path breaks down: qualification, CP, negotiations, freezes, weak stages and forecast for closure.

New 612 per month · +9%
Closed 308 5.2 million ₽ +11%
Deal cycle 12.4 days · +1.8 days to the previous period
Stuck 73 trades without movement +15

Conversion stage → next stage

Transitions between stages

New → Contact 82% ok
Contact → Qualification 74% ok
Qualification → CP 58% narrow
CP → Negotiations 43% risk
Negotiations → Success 69% ok

Where deals get stuck

Average time in status

New application0.4 days
Qualification2.1 days
KP / calculation5.6 days
Negotiations8.2 days
We are waiting for payment3.4 days

Transactions at risk

Worklist for ROP

Not an abstract chart, but a list of specific transactions, for which it is already clear where the next step, re-touch or callback is needed.

Deal Stage Manager Problem Amount
CRM for a network of clinics KP / calculation Anna 4 days without touching 420 000 ₽
Automation of the sales department Negotiations Ilya No next step 780 000 ₽
amoCRM + telephony integration We are waiting for payment Maria Missed callback 190 000 ₽
Implementation of analytics Qualification Sergey Little data on needs 260 000 ₽

FAQ

Frequently asked questions about sales analytics in amoCRM

How is sales analytics different from a regular funnel in CRM?

A regular funnel shows the big picture. Sales analytics should explain exactly where the process is slowing down: stage, manager, deadline in status, lack of next step or weak channel.

Is it possible to manage the work of the team using this screen?

Yes, if the analytics is related to a list of specific transactions at risk, and does not end with beautiful columns. Then the ROP immediately sees what to disassemble first.

Who is this page most useful for?

For the owner and head of the sales department, for whom it is important to see not only revenue, but also the real mechanics of losses inside the funnel.

Related Pages

What to watch along with sales analytics