Data analytics companies · CRM
Keep the sponsor, the data source and the next step on one record.
A CRM for an analytics firm is the record of each prospect, the question they want answered, the people involved and the state of any pilot. GullySales sets up fields and stages that fit a project sale, so a long conversation does not rest on one person's memory.
Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

What CRM means
A CRM is the record where every enquiry, call and quote is kept against a customer, replacing separate notebooks, spreadsheets and memory. GullySales sets up or cleans an existing CRM and reports from it by enquiry outcome rather than by activity logged.
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Sales and marketing for data analytics companies, the overview.
Last updated 18 Oct 2026.
For data analytics companies
Where it usually goes wrong, and what we would do.
“A name and phone number is not enough”
An analytics enquiry needs the business question, the system holding the data and the people involved. Without them, the record cannot tell a serious buyer from a curious one.
“Pilots and contracts need separate stages”
A small pilot and a continuing engagement are different sales. If both sit under one stage called won, the firm cannot see which pilots turned into contracts or why others stopped.
“Sponsors change and the record forgets”
When the manager who asked for the dashboard leaves, a new head arrives with no context. A record that lists every contact and their role lets the firm introduce itself again, with history.
“Usage after delivery belongs in the record”
Whether the dashboard is opened, and by whom, predicts the renewal. A note of who uses it and who has stopped turns a vague worry into a call that can be made.
What we do
What we deliver for data analytics companies.
Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.
Fields for a project sale
Fields for the business question, the data systems, the sponsor, the user, the approver and the pilot scope.
Result: Anyone opening a record sees the whole situation.
Stages from enquiry to renewal
Stages that separate enquiry, sample shown, pilot scoped, pilot running, contract and renewal.
Result: The pipeline shows where projects stall.
Contact roles on each account
A required role label on every contact, so sponsor, user and approver are never confused.
Result: You can find a second sponsor when one leaves.
Usage notes after go-live
A simple way to log who is opening the output and who has gone quiet.
Result: A fading project is noticed while it can still be saved.
Source and referrer tracking
A field recording who introduced each prospect, with a note to thank them.
Result: Your best sources of introductions are visible.
How the result is measured
- Enquiries logged in the CRM
- Data completeness
- Reports generated from CRM data
Recorded as a baseline before work starts, so every later report has an honest comparison.
Who it is for
This is written for these data analytics companies.
- Business intelligence and dashboard consultancies
- Sales and marketing analytics specialists
- Retail and distribution analytics firms
- Manufacturing and operations analytics providers
- Finance and collections analytics specialists
- Customer churn and segmentation analysts
- Data engineering and warehouse build firms
- Forecasting and demand planning specialists
How it works
How the CRM work runs
The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.
- 1
Map the sales process
We record how a deal actually moves from enquiry to close in your business today.
- 2
Configure stages and fields
The CRM's pipeline and fields are built to match that process exactly, not a generic template.
- 3
Set up automations
Reminders, assignment rules and follow-up triggers are configured so routine steps happen without manual effort.
- 4
Test with real deals
We run the configuration against actual current deals to catch gaps before the whole team relies on it.
Where this fits
Three pieces of sales work, in this order.
This work sits inside sales management. A target, a review routine and someone who owns the number.
Step 1
Sales audit
Find where deals are being lost and what to fix first.
Start here if you cannot say where orders are lost.
Step 2
Sales process design
One written way to sell, from first enquiry to repeat order.
Start here if every salesperson sells differently.
Step 3 · you are here
Sales management
A target, a review routine and someone who owns the number.
Start here if the team has targets and no routine.
FAQ
Questions owners ask before they call.
Not here? More answers, or ask on WhatsApp.
Which CRM should a small analytics firm use?
Should client data sit in the CRM?
Who updates the record?
How much does it cost?
How long is the contract?
How soon will we see results?
Who will actually do the work?
What do you need from us?
What if we are not happy with the work?
More for data analytics companies
Everything else we would do for you.
Closest to this: leads and follow-up
Also for data analytics companies
Or start from the overview: sales and marketing for data analytics companies.
Your next practical step
Tell us what you are trying to grow, and we will read it before we call.
Eight short steps, mostly taps. Skip anything you would rather answer on the call.