Introduction (Read or Watch)
A common problem lies in choosing which platform deserves your hard-earned advertising dollars. An even worse problem, is whether or not to increase spends on platforms with a high return on ad spend. While increasing spend where you have a high ROAS is an intuitive move, it can get you into trouble quickly – you may be unaware of a larger story and a very common trap.
Like all things in online marketing – nothing is ever quite as simple as it seems…
Watch an in-depth video explainer on how the GA4 Attribution Paths report works and why it’s important
The Attribution Paths Report in GA4 (formerly “Conversion Paths”) offers a window into how users actually convert across channels. There are however, important caveats you need to know before making key business decisions based on this data.
It’s quite common, that spending money on an advertising platform like Meta or TikTok may generate large amounts of brand awareness or product consideration, but the internal reports in the ad accounts may show poor return on ad spend. Meanwhile, a search channel like Google, or an LLM system may show a huge return, but only because it’s fuelled by the discovery power of the earlier spend. If the search channel shows a high return, how much of this return is because of the previous spend on discovery and brand awareness?
The trap here, is if you decided to spend more money on the channel that gives a higher return on ad spend, you may destroy your business.
If you reduce spending on the discovery and brand awareness of your products, it may reduce the source of traffic being converted later down the line. This is a very common trap for businesses, especially when AI is driving so much audience targeting.
As you can imagine, the true answer to this trap depends on what kind of business you have and what kind of product you sell.
It depends on what the typical user journey is, from being a stranger, to a purchaser. It depends on whether you’re selling a superyacht once a year (1 data point – longer purchase journey), or a thousand tubes of toothpaste via an online store per week (many data points – shorter purchase journey).
This means businesses need a tool, that can somehow show you what your user journey looks like, from brand discovery, to becoming a customer. Only then can you see a holistic view, and make an informed decision on where to spend your advertising budget. Enter the GA4 Attribution Paths Report.
What the GA4 Attribution Paths Report Shows
- It showcases how your ads and organic platforms play a part in the user journey, from someone being a stranger to your business, to becoming a purchaser.
- The Attribution Paths Report visualises touchpoints or interactions that precede key events (like purchases), these ‘touchpoints’ are moments that a user arrives to your website. They are often grouped into Early (first 25%), Mid (middle 50%), and Late (last 25%) segments.
- You can slice the data by Default Channel, Source, Medium, or Campaign, and toggle between attribution models including Data-Driven Attribution (DDA), Paid & Organic Last Click, or Google Ads–focused Last Click. This means for example you can see how many early, mid, or late touchpoints came from your campaigns, or organic links.
- The report also includes metrics like Conversions, Purchase Revenue, Days to Conversion, and Touchpoints to Conversion, combining insights that used to be spread across multiple UA reports.
- This report shows how each channel ‘fits in’ to your story of cultivating new users to trigger a key event (such as a purchase).
What Does the GA4 Attribution Paths Report Look Like?
The GA4 attribution paths, showcases the conversion value of your key events, divided into early, mid or late touchpoints. The percentages highlighted in black, is the percentage of conversion value GA4 believes should be attributed to these different stages.
Setting Up the Report for Strategic Insight
How should you setup your attribution report for best strategic insights?
Step 1: Prerequisites
- Ensure you have at least one conversion event (e.g. Purchase) configured.
- Be sure that your data infrastructure is setup and audited to check that analytics is reporting accurately.
- If relevant, link your Google Ads account for richer attribution.
- Use solid UTMs – strong tagging lets you break down by campaign, source, or medium, not just default channels.
Step 2: Accessing the Report
- Go to: Advertising → Attribution → Attribution Paths in GA4.
- Choose your conversion event, date range, and attribution model.
- Select how you’d like to segment: Default Channel Group, Source/Medium, or Campaign.
Step 3: Visual & Tabular Insights
- Visual segment breakdown shows who initiates (Early), supports (Mid), and closes (Late) conversions – broken down by your chosen dimension.
- Hover interaction reveals conversions or credit distribution for each segment.
- The table gives deeper context with conversions, revenue, conversion delay, and number of touchpoints.
Step 4: Attribution Model Impact
- Data-Driven attribution model is GA4 default, it compares different user journeys that don’t cause a purchase, against those that do. Iteratively this builds a picture as to which touchpoints maybe causing a statistical elevation in the likelihood of causing a purchase.
- Last-Click models front-load credit to final touchpoints, usually boosting late-stage channels.
- Experiment with multiple models to understand how different channels play into your attribution mix.
Summary
GA4 Attribution Paths report shows touchpoint sequences driving conversions in Early, Mid, and Late segments. Use it to uncover hidden channel value, but don’t mistake it for complete revenue reporting. Always align GA4 with backend data, raw sales in your online store or BigQuery, choose attribution models that reflect your business journey, and frame insights in context.
Pro tip – there is no universal ideal on how an attribution report should present data for each channel. Use the insights in conjunction with your strategy and deployments.
