Who gets the credit when a customer arrives?

A customer reads an article, forgets you, sees a recommendation, searches your name, and calls. Which of those deserves the credit? Every attribution model answers differently, and none of them are right.

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Attribution is deciding which marketing gets credit for a customer. First contact credits what introduced them, last contact credits what closed them, and both are partly wrong because journeys involve several steps. For most small businesses, recording both the first source and the last, and accepting the imprecision, is enough to make good decisions.

Why this is harder than it sounds

A single customer might read one of your articles in March, hear your name from a colleague in May, search for you in June, look at two competitors, and call in July. Every one of those steps mattered and none of them alone produced the sale.

Attribution models exist to divide the credit anyway, because businesses need to decide where to spend. They are all simplifications, and knowing which simplification you are using stops you from believing it too much.

The two models worth knowing

You do not need the full catalogue. Two positions cover most small business decisions, and they answer different questions.

  • First contact: credit goes to whatever introduced them. Answers the question of what brings new people into your world.
  • Last contact: credit goes to whatever they did just before enquiring. Answers the question of what closes people who already know you.
  • Everything in between: models that split credit across steps. More accurate in theory, considerably harder to maintain, and rarely change a small business decision.

Why last contact flatters some channels

Last contact tends to credit branded search, direct visits and anything that happens at the end. Somebody who searches your business name after being recommended looks, to a last-contact model, like a search success.

That is why businesses using last contact alone often conclude that their content and their early-stage work do nothing. Those pieces did the introducing, and the model gives them no credit for it.

Why first contact flatters others

The mirror image happens with first contact. An article read months earlier gets full credit for a sale that was actually closed by a case study and a well-timed reply.

Neither is a lie. They are simply two views of the same journey. Recording both, where you can, gives you a far better picture than arguing about which single model is correct.

What a small business should actually do

The practical answer is unglamorous. Ask customers how they first heard of you and record it. Note what your analytics says about the last step. Accept that the two will disagree and treat that as information rather than error.

Then make decisions on the pattern rather than on any single figure. If a channel appears frequently in either column across a quarter, it is doing something worth funding.

  • Record the customer's own answer about what first brought them.
  • Record what the tools say about the last step before the enquiry.
  • Review both quarterly, not weekly.
  • Do not build a spreadsheet more complicated than the decision it supports.

The growing gap nobody can close

Attribution is getting harder rather than easier. Privacy protections limit what can be tracked, and a growing share of visits arrive from AI assistants that pass along little or no source information.

This is worth accepting rather than fighting. The response is not more tracking, it is more asking. A question at intake sees things no tool will ever see again, and it does not degrade when a browser updates.

How Licheo treats attribution

We use customer-reported sources as the anchor and analytics as supporting detail, and we say which is which in every report.

Where something cannot be attributed, we record it as unattributed rather than assigning it to whichever channel happens to look good. An honest unknown is more useful than a confident guess.

Part of a larger guide

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Questions people ask

What is marketing attribution?
Deciding which piece of marketing gets credit for a customer. Since most journeys involve several steps over weeks or months, every model is a simplification, and knowing which one you are using stops you from believing it too much.
Should I use first-click or last-click attribution?
Both, if you can. First contact tells you what brings new people in; last contact tells you what closes them. Using only one systematically undervalues half your marketing.
Why does my analytics disagree with what customers tell me?
Because they measure different things and the tools cannot see everything. Calls from memory, recommendations, long gaps and AI assistant referrals are all invisible or misattributed. The customer's memory covers what the tools miss.
Do I need multi-touch attribution?
Rarely at small-business scale. It is more accurate in theory and considerably harder to maintain, and it seldom changes the decision you would have made from first and last contact plus common sense.
Is attribution getting harder?
Yes, through privacy protections and the rise of AI assistants that pass along little source information. The practical response is to ask customers directly, which sees what tools cannot and does not degrade when browsers change.

Know where your customers come from

Customer answers as the anchor, analytics as supporting detail, and unattributed recorded honestly as unattributed.

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