What do GA4 conversion paths tell a sports nutrition store?
If you sell protein, creatine or pre-workout, GA4's conversion paths report mixes first orders with reorders. Short Direct and Email paths are likely reorders. The longer paths, with creator, social and search touches, hold the questions about your marketing.
By Joris van Huët, Founder & CEOUpdated 5 min read
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If you sell sports nutrition, the report usually mixes two kinds of buyers in one table. Some are reordering a product they already use, and some are buying for the first time. Short Direct and Email paths are likely reorders. The longer paths, with creator, social and search touches, hold your marketing questions.
If you sell sports nutrition
If you sell protein, creatine, pre-workout or bars, your products run out. A tub empties, the buyer notices, and the reorder takes one typed address or one tap in an email. Those paths are short because the decision was made months ago.
First orders look different. A new buyer compares flavours, reads labels, watches a creator review a pre-workout and asks someone at the gym. Some of that leaves touchpoints in GA4, such as a click from a video or a search. Some never does: a discount code read off a video and typed in at checkout is not a visit.
Subscriptions add a twist. If a renewal is charged without a site visit, it only reaches GA4 if your setup sends a purchase event for it. Check that before you read anything into reorder paths.
What one store's data shows
One store's anonymised GA4 export, 1 January 2024 to 21 August 2026. It holds shares of revenue only: no ad spend, no order counts.
| What the export shows | Share of revenue | Source cell |
|---|---|---|
| Direct, in last click, first click and touched views | 57.7% | Channels sheet, Direct row |
| Touched view, every channel added up | 110.4% | Channels sheet, touched column total |
| Journeys with 1 touch (0.5 days to buy) | 79.5% | Journeys sheet, 1 touch row |
| Journeys with 2 to 3 touches (12.5 days to buy) | 12.2% | Journeys sheet, 2-3 touches row |
Store A is one store, and nothing in its export says it sells sports nutrition. Use it to see what to look for in your own file.
On the Journeys sheet, 79.5% of Store A's revenue came from one-touch journeys that took 0.5 days. In a sports nutrition store, reorders are the first suspects for paths like that: one touch, no deliberation. Check yours before you assume it.
Direct holds 57.7% of revenue on Store A's Channels sheet, the same in first click, last click and touched views. When the three views agree like that, the journeys that touched Direct also started and ended there, to the rounding. Run the same comparison on your own Direct row before you call it habit.
The touched view on the Channels sheet adds up to 110.4%, because a journey that touched two channels counts in both. The overshoot comes from journeys with more than one channel. If most of your reorders touch one channel, your own overshoot stays small.
The 2 to 3 touches row on the Journeys sheet holds 12.2% of revenue, at 12.5 days to buy. That middle ground is where a first-time buyer would sit after a creator video, a search for your name and a visit to buy.
What the export cannot show is who was new. It holds journeys and shares of revenue, not customer histories.
What changes for a sports nutrition store?
Split first orders from reorders before you judge a channel. Add filter, at the report's top left, narrows it to a set of users. If your property has a dimension that marks new and returning users, use it there. If not, treat short Direct and Email paths as likely reorders.
Watch the lookback window. GA4's default lookback for purchases is 90 days. A reorder inside that window can still credit the ad that won the first order, which flatters that ad.
Give creators a tagged link, not just a code. A code typed at checkout leaves no touchpoint. A tagged link that someone clicks does, and then the creator shows up in your paths by name.
Tag your reorder emails. If your Klaviyo flows send buyers back without UTM tags, those reorders can land under another channel, or under (not set).
What to do this week
- List the channels behind your one-touch revenue. In GA4, click Advertising, then Attribution paths, keep only purchase and set the path length filter to equal to 1. Pass: you know which channels carry your single-touch revenue. Fail: you read the whole table as if every buyer were new.
- Check your purchase lookback window. Go to Admin > Data display > Events > Attribution settings and read the key event lookback window. Pass: someone chose it on purpose and knows changes apply going forward only. Fail: nobody knew it was there.
- Tag one creator link and one reorder email, then look again next week. Switch the report's dimension to Source and find both. Pass: the creator and the email appear by name. Fail: they still show up as Direct or (not set), so the tags did not stick.
Check the homework. Your GA4 Attribution paths export already holds the evidence. Causality Engine reads that one file and shows what each channel caused next to what last-click gave it, in 1 to 2 minutes, for €99 once (excluding VAT), refundable within 30 days. Check the homework
Sources, 1 October 2026: Key events attribution paths report (Google Analytics Help); Select attribution settings (Google Analytics Help); Get started with attribution (Google Analytics Help).
Related answers
Frequently asked questions
Do subscription renewals show up in GA4 attribution paths?
Only if your setup sends a purchase event for each renewal. A renewal charged without a site visit may never reach GA4. Check one renewal you know about in your own data before you read anything into reorder paths.Why don't creator discount codes show up in my GA4 paths?
Because a code is typed at checkout, not clicked. GA4 builds paths from interactions such as site visits, so a buyer who saw a creator's video and typed your address shows up as Direct. Give each creator a tagged link as well as a code.Should a sports nutrition store change its GA4 lookback window?
Only on purpose. With the default of 90 days for purchases, a reorder can still credit the ad that won the first order. A 30-day window keeps more reorders apart, but changes apply going forward only, so note the date.
Go deeper: Causal attribution, explained.
Sixty-second versions of these ideas: Causality Engine on YouTube Shorts.
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Terms in this article
- AnalyticsAnalytics is the systematic computational analysis of data. It reveals customer behavior and measures campaign performance.
- AttributionAttribution identifies user actions that contribute to a desired outcome and assigns value to each. It reveals which marketing touchpoints drive conversions.
- Causal AttributionCausal Attribution uses causal inference to determine which marketing touchpoints genuinely cause conversions, not just correlate with them.
- CausalityCausality is the relationship where one event directly causes another, essential for identifying specific actions that drive desired outcomes in marketing.
- ConversionConversion is a specific, desired action a user takes in response to a marketing message, such as a purchase or a sign-up.
- Conversion PathConversion Path is the sequence of interactions a user has with various touchpoints before completing a desired action.
- Google AnalyticsGoogle Analytics is a web analytics service that tracks and reports website traffic.
- TouchpointTouchpoint is any interaction a customer has with a brand throughout their journey. In marketing attribution, each touchpoint is a data signal to understand marketing impact.