TL;DR
Most agricultural and farming supplies eCommerce businesses are losing revenue in one of four places: product discovery, the product page, checkout, or paid channel waste. Parts and machinery dealers lose sales because technical buyers cannot confirm compatibility or find what they need. Supplies businesses lose repeat buyers who cannot find their way back. Both types share the same root problem: GA4 is misconfigured, so every decision made on ad spend, channel mix, and product prioritisation is built on numbers that do not reflect real orders. Fix the data first. Everything else follows from that.
Two business types, two sets of problems
Agricultural eCommerce splits into two distinct models, and understanding which one you run determines where to look first.
Parts and machinery dealers carry large, complex catalogues. Tractor spares, machinery components, plant equipment parts. The buyer has specific intent. They know what machine they have and what has failed. Conversion is won or lost on whether your product page gives them three things: compatibility confirmation, specification detail, and a clear stock position. The problems here are structural.
Agricultural supplies businesses sell simpler, consumable ranges. Electric fencing, livestock ear tags, animal health products, farm sundries. The buyer is often habitual. They have bought from you before and will buy again, if you make it easy enough. The problems here are commercial: repeat purchase, Google Shopping efficiency, product feed quality, and retention.
The path to converting them, retaining them, and measuring it accurately is different enough to warrant distinct thinking. But both models share one foundational failure. The data they are making decisions on is unreliable.
Where parts and machinery businesses lose sales
Product discovery fails before the product page does
Most parts catalogues are organised around how the business stocks its inventory. Buyers do not search that way. They search by machine, by model year, by application. If your category structure does not reflect that, buyers cannot find the product even when you carry it. The sale is lost before it had a chance.
On-site search compounds this. A buyer typing ‘3CX hydraulic filter’ into your search bar gets zero results when the product is catalogued as ‘Hydraulic Filter, JCB 3CX Series.’ Same product. Different language. The search tool cannot connect them.
The product page does not close the sale
Technical buyers arrive with specific intent. They know the machine. They need to know the part fits, what the specification is, and whether you have it now. Most parts product pages fail on all three. Generic manufacturer copy. One image. A stock status that says ‘usually dispatched in 3 to 5 days.’
That buyer closes the tab and tries the next result. It was not a pricing problem or a trust problem. It was a product page problem.
Paid channels spend on the wrong things
Performance Max campaigns run on autopilot and spend where the algorithm wants to spend, not where the commercial return is. Without clean conversion data feeding it, the algorithm optimises for the wrong signals. Broad match waste, poor search term relevance, spend on branded terms the buyer would have found anyway.
The campaign looks active. The qualified enquiry count sits still.
Where agricultural supplies businesses lose sales
Google Shopping campaigns: structured for volume, not margin
Supplies businesses running Google Shopping often have two problems at once. The product feed is not strong enough to compete on high-intent terms, so the campaign defaults to broader, lower-intent traffic. And the campaign structure gives no visibility into where the spend is actually going.
Elogic Commerce’s 2026 benchmark analysis puts eCommerce conversion for supplies-type businesses at the upper end of a 1.5% to 3.5% range, where buyers are familiar with the product and reordering. A campaign generating traffic that converts below that rate is not a campaign problem. It is a feed and targeting problem.
Repeat buyers are not coming back through the store
Agricultural supplies customers are habitual. A farmer who bought ear tags in March will buy them again. A smallholder who fenced a paddock in spring needs more insulators in autumn. These are not win-back situations. They are retention failures: a buyer who is ready to purchase from you again, and finds a competitor faster.
Most supplies stores have no post-purchase communication, no reorder prompt, no reason built into the experience for the buyer to return directly rather than starting from a Google search.
Checkout friction on commodity lines
A buyer adds electric fence tape, an energiser, and a pack of posts to the basket. They reach the checkout. Payment is by credit card or PayPal only. No trade account option. VAT is not clearly shown. They call the merchant instead.
The sale happens off-platform, credited to no channel, invisible to any reporting.
The problem both types share: the data is unreliable
GA4 is installed on almost every agricultural eCommerce store in the UK. Almost none of them have it configured to tell them anything useful.
Standard GA4 implementation does not automatically track eCommerce purchases. Conversion events fire on page loads rather than on confirmed transactions. Purchase events are missing entirely. A checkout step fires twice on mobile and doubles the count. Spam sessions contaminate the traffic data. The numbers look authoritative. They do not reflect reality.
The farming supplies business spending £1,500 a month on Google Shopping and seeing 45 conversions in GA4 may have 12 actual orders. The other 33 are tracking artefacts. Every bid decision Google’s algorithm is making is based on numbers that do not exist. And every strategic decision the business owner is making sits on the same fiction.
Fix the data before touching the channels. Wrong data poisons every decision that follows it.
Three things to check this week
Regardless of which type of business you run, these three checks take less than an hour and will tell you whether your store has a data problem.
1. Check GA4 against your order book
Pull your GA4 purchase conversion count for the last 30 days. Compare it to your actual order count for the same period. If the numbers differ significantly, your tracking is broken. Every decision on channel mix, ad spend, and product prioritisation is built on bad data.
2. Run your own checkout
Put a low-value product through your store as a customer. Watch what fires in GA4’s real-time view. Does a purchase event appear on the confirmed order page? Does it fire on the payment page before confirmation? Does it fire at all? This single test tells you more about your tracking setup than any report.
3. Look at your search term reports
If you are running Google Shopping or Search campaigns, download the search terms report for the last 90 days. Filter by cost. Find the ten highest-spend terms. If more than two or three of them would never result in a commercial sale from your core audience, your campaigns are wasting a meaningful share of budget on the wrong traffic.
Frequently asked questions
Put a low-value product through your own store as a customer and watch what fires in GA4 real-time view. A purchase event should appear only on the confirmed order confirmation page. Then compare your GA4 conversion count for the last 30 days against your actual order book. If the numbers differ significantly, the tracking is broken.
Start with the tracking, not the campaigns. If the conversion data feeding the algorithm is wrong, every bid decision is wrong too. Download your search term report and check what queries your budget is actually being spent on. Broad match waste and spend on branded terms the buyer would have found anyway are the two most common culprits.
Yes. The specific problems differ — supplies businesses lose revenue through repeat purchase failure and Google Shopping inefficiency more than through product page depth — but the data problem is the same. GA4 misconfiguration is as common in supplies eCommerce as in parts, and it causes the same bad decisions.
A manual review of five areas: analytics and tracking, product discovery, product pages or catalogue, checkout, and paid channels. Not a tool report. A clear account of where your store is losing revenue and what to address first, in priority order.
No. The plan and findings are yours to act on however you choose. Some clients run the fixes themselves, some take them to their existing agency, some ask Arlieo to continue. The audit stands on its own.