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Attributionmeaning and examples

Who gets the credit: finding which ads and steps really bring the sale.

Since 201565+ in-house team6 cities

Updated 9 Oct 2026

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Definition

Attribution is the method of giving credit for a sale or an enquiry to the marketing steps that led to it, such as an ad, a search, an email or a message. It helps you decide which activity deserves more money.

Most buyers do not act after one ad. They see a post, search on Google, chat with the shop on WhatsApp and then buy. Attribution decides who gets the credit for that sale.

The common attribution models

A model is a rule for sharing credit. These are the main ones.

  • Last click: all the credit goes to the final step before the sale.
  • First click: all the credit goes to the first step.
  • Linear: every step gets an equal share.
  • Time decay: steps closer to the sale get more credit.
  • Position based: the first and last steps get the most, and the middle steps get a little.
  • Data driven: a tool uses past data to estimate each step's share.

A made-up example in rupees

A customer buys a water purifier for ₹12,000. This is a made-up example. The steps were: 1, an Instagram ad. 2, a Google search ad. 3, a WhatsApp chat with the shop.

  • Last click: WhatsApp gets ₹12,000.
  • First click: Instagram gets ₹12,000.
  • Linear: each step gets ₹4,000.

The same sale tells three different stories. If you look only at last click, you may cut the Instagram ads, even though they started the journey.

How attribution works for an Indian business

Many leads in India start online and finish on a phone call, a WhatsApp chat or in a shop. That is where tracking often breaks. Three habits help.

  1. Tag every link with UTM (Urchin Tracking Module) parameters. These are labels added to a web address that say where a visit came from.
  2. Ask "How did you hear about us?" on forms and on calls, and write down the answer.
  3. Count leads as people in your own lead record, not as events in a tool. Then match each lead to its source.

Different tools use different rules, so their numbers often do not match. Your own lead record is the check.

Common mistakes

  • Trusting one tool's report as the full truth.
  • Judging every channel by last click only.
  • Not tracking calls and WhatsApp chats.
  • Counting form clicks as leads.
  • Changing the model in the middle of a month and then comparing the numbers.
  • Ignoring the steps that happen offline, like a shop visit.

Set up the labels first. Read about UTM parameters.

Related terms

  • UTM parameters: labels added to a link that show the source of each visit.
  • GA4 (Google Analytics 4): Google's tool for measuring website and app visits.
  • ROAS (return on ad spend): the sales earned for each rupee spent on ads.
  • Server-side tracking: sending tracking data from your own server, not from the visitor's browser.
  • Click-to-WhatsApp: ads that open a WhatsApp chat with your business.

To set up tracking you can trust, see our analytics and tracking work.

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Straight answers.

  • It is the method of giving credit for a sale or enquiry to the ads and steps that led to it.

  • Look at last click and first click side by side. If they differ a lot, your buyers take many steps, and you need more than one view. Do not change the model in the middle of a month and then compare the numbers. Check each result against your own lead record.

  • Each tool counts in its own way and sees only part of the journey. Match them against your own lead record. Count leads as people in your record, not as events in a tool, and match each lead to its source. Tag every link with UTM labels too.

  • Yes. Use separate call numbers or tagged links, and ask every caller how they found you. Write the answer in your lead record. Many leads in India start online and finish on a phone call, a WhatsApp chat or in a shop, and that is where tracking often breaks.