analitik

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Churn diagnostics

Which customers are leaving, why, and who can still be kept.

What the result will look like

At-risk customers

CustomerLast visitUsual intervalRisk
Customer #104834 days ago7 daysHigh
Customer #221019 days ago10 daysMedium
Customer #053112 days ago14 daysLow
Customer #330741 days ago12 daysHigh

Illustrative view: figures are examples; in a real project it is built on your data.

What it gives you

Without it

  • You learn a customer left months later, when revenue drops
  • Discounts go to everyone, loyal customers included
  • Causes are guessed

With it

  • You see who is about to leave before they do
  • Retention budget goes only to at-risk customers
  • You know which branch and campaign the loss comes from
How we measure the result:Monthly churnShare of repeat customersCustomers won back from the risk list

What happens behind the scenes

A simple-looking result rests on these steps. We adapt each one to your data. Examples are illustrative.

  1. 1Joining the dataReceipts are linked to a customer ID: card, phone or account.12,400 receipts → 3,100 customers
  2. 2Each customer’s rhythmA usual purchase interval is computed per customer.Customer #1048: every 7 days
  3. 3Loss rule“Lost customer” is defined to fit your business.3 usual intervals passed → lost
  4. 4CohortsCustomers are grouped by month of first purchase.March cohort: 41% left in month 3
  5. 5Risk scoreEach active customer gets a risk based on delay and frequency.34 days / 7 days → High
  6. 6Finding causesLosses are compared by branch, campaign and product.Branch B loses 2× more

The question it answers

How many customers don’t come back, who are they, and is the loss tied to a branch, a campaign or a period?

What you get

  • A definition of a “lost customer” that fits your business, and a churn measurement
  • Cohort analysis by month of first purchase
  • A list of at-risk customers
  • Prioritised, concrete retention steps

Data needed

Customer base, loyalty card, or receipt history linked to customers

Work plan

  1. 1IntroQuestion, goal and available data
  2. 2Data checkScope agreed in writing
  3. 3AnalysisCalculations and visuals
  4. 4ResultsReviewed together
  5. 5Apply and trackNext steps, optionally in Nəbz

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The price depends on your situation. Let’s talk

Every business has different data and goals. Instead of a fixed price list, we listen to your question in a short, free conversation, tell you what’s possible and send a written proposal. No obligation.

  1. 1You write to usA sentence or two in the chat, on WhatsApp or in the form is enough.
  2. 2Free 20-minute callWe clarify the goal and the data you have together.
  3. 3Written proposalWe set out the work, the result and the price clearly.
Send a request Email us: info@analitik.az
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