Metrics

Attribution

Assigning conversions to marketing channels

In short

Attribution assigns a conversion to the marketing touchpoints that led to it, so you can see which channels and campaigns actually drive results for you.

Attribution is the process of assigning a conversion to the marketing touchpoints that led to it. It answers the question: which channel, campaign and ad brought in this lead or sale?

How does attribution work?

Every attribution starts with data about where a visit came from. That means UTM parameters you add to your links, plus the click ID the ad platform appends, such as the gclid or fbclid. When a visitor converts, this source data is linked to the conversion.

Because people often have several touchpoints, say an Instagram ad, then a Google search, then a newsletter, you need rules for who gets the credit. Those rules are attribution models:

  • Last click: the final touchpoint before the conversion gets all the credit.
  • First click: the first touchpoint gets all the credit.
  • Multi-touch: credit is split across several touchpoints using fixed or data-driven rules.

Why does attribution matter?

Without attribution you cannot tell which budget is paying off. Metrics like ROAS and CPA only make sense when conversions are assigned to the right channel.

At the same time, attribution keeps getting harder. Ad blockers, Safari ITP and missing consent all cause signal loss, so ad platforms no longer see a share of your conversions. Server-side tracking and clean first-party data help close that gap. Our article on pixel vs. Conversion API explains why.

Example

A visitor clicks a Meta ad, comes back three days later through a Google ad and fills out your contact form. Under last click, the lead belongs to Google Ads. Under first click, it belongs to Meta. In their own reports, Meta and Google may both count it. That is why knowing a lead's source independently of the platforms is so valuable.

Attribution with LeadSignal

LeadSignal is a simple conversion tracking tool, not attribution software. It does not offer attribution models like first click, last click or multi-touch. What it does: it stores UTM parameters and click IDs per session and links every lead to its original source, click ID and landing page. You see this in the lead list, while your conversions go to Meta, Google Ads, LinkedIn and TikTok so the platforms can attribute them properly on their side.

If you need true lead-to-revenue attribution with CRM data, meaning which campaign actually produced revenue, our sister product LeadMetrics is built for exactly that.

Frequently asked questions

What attribution models are there?+

The best known are first click, last click, linear, time decay and data-driven. First click and last click give all the credit to a single touchpoint, while multi-touch models split it across several.

Why do Google Ads and Meta report different conversions?+

Each platform attributes with its own rules and windows, and each tends to claim conversions for itself. The same conversion can show up in both accounts. A platform-independent view of source and click ID helps you make sense of it.

What is the difference between tracking and attribution?+

Tracking records that a conversion happened and where the visitor came from. Attribution builds on that data and decides how much credit each channel deserves.

Guides on this topic

Tracking
Server-Side Tracking Without Google Tag Manager: A Simpler sGTM AlternativeServer-side tracking setup without a server container: what sGTM really costs, when it is worth it, and a simpler way to connect Meta, LinkedIn and TikTok.11 min read

Articles on this topic

Related terms

TrackingUTM ParametersUrchin Tracking Module parametersUTM parameters are tags added to a URL that describe the source, medium and campaign of a visit, so you can see which channel brings in visitors and leads.TrackingClick IDAd click identifierA click ID is a unique identifier that ad platforms append to the URL when someone clicks an ad. It ties a later conversion back to that exact click.MetricsROASReturn on Ad SpendROAS (Return on Ad Spend) measures how much revenue every dollar or euro spent on ads brings in. It is calculated as ad revenue divided by ad spend.MetricsCPACost per AcquisitionCPA (Cost per Acquisition) tells you what a single conversion such as a lead or sale costs you on average. It is calculated as ad spend divided by conversions.MetricsSignal LossSignal loss describes conversions and user data that never reach ad platforms because of ad blockers, cookie limits, missing consent or broken tracking setups.TrackingConversion TrackingConversion tracking measures which visitors complete a valuable action after clicking an ad, such as a purchase or lead, and reports it back to the ad platform.