Custom Tracking Isn't Just for Measuring Campaigns

Custom tracking is most often mentioned in the context of measuring campaign performance — how many inquiries a given post brought in and what the return on ad spend (ROAS) was. But that same data, collected the right way inside the sales funnel itself (funnel) — like, say, a pet insurance calculator — can serve something far more valuable: revealing what customers actually want and are looking for before a single new design or copy concept is even started.

Standard web analytics only tells you how many people entered the calculator in question and how many made it to the final payment page. That's useful, but shallow. It says nothing about where the drop-off happens, which breeds are quoted most often, or which optional coverage add-ons matter most to customers.

Custom behavior tracking built into every step of the insurance calculator opens up a completely different level of insight. Instead of a generic "number of visits," you see exactly which breeds dominate the inquiries, which pet age ranges owners most want to insure, at which step of the form users most often abandon it, and which combinations of add-on coverage — like routine check-up cover or third-party liability — most often get bundled together.

"Instead of guessing whether an ad with a labrador or a bulldog will convert better, the calculator's data shows exactly what your audience is already asking for and insuring."

Beyond the click: everything you can track in an insurance calculator

Once a tracking system (via Google Tag Manager and custom events) is built directly into the structure of the pet insurance funnel, it captures far more than just page visits. You can track:

• Breed and age distribution: a clear picture of whether demand for insurance skews toward mixed breeds, younger dogs, or cats of a certain age.
• Optional coverage selection: which add-on services (e.g., illness treatment costs vs. surgical procedures) get checked most often.
• Drop-off points (drop-off): the exact step of the calculator where users most often close the page — is it when they have to enter a microchip number, personal details, or when they first see the calculated premium.

Data as a compass for the next creative

When the data shows that, say, 60% of users in the calculator select the "illness treatment cost coverage at private clinics" option, or that the number of quotes for French bulldogs and medium-sized mixed breeds is sharply rising, that's a clear direction for the next visual and message.

There's no need to guess whether a generic visual with a smiling owner will grab attention. Instead, an ad is built that targets exactly what the audience has already shown it wants, with messaging aimed at specific health risks for that breed, or at the peace of mind of having vet costs covered.

Less guessing, more evidence-based decisions

This approach doesn't replace the creativity of designers and copywriters — it gives it a solid foundation. Instead of brainstorming from scratch and arguing over whether the blue or green button converts better, the team starts from a concrete signal: owners of dogs under 2 years old most often pick the plan with vaccination coverage included, but abandon it if the data-entry process is too long.

Decisions about new visuals, calculator adjustments, or designing new insurance packages become faster, safer, and more profitable.

Old way vs. new way

• Old way: the team gets together, makes assumptions about what pet owners might like, shoots an expensive generic campaign, and picks a direction based on gut feeling. Whether the ad actually works is only discovered after the marketing budget is already fully spent.
• New way: custom tracking in the insurance calculator quietly collects data on users' actual choices. Before a single new ad is even built, the team already knows which breeds are most common, which add-on coverage interests customers the most, and where the conversion drop-off happens. The campaign is built on proven facts.

DataLytics can configure a custom tracking system inside your funnel that collects this data and turns it into clear reports.

First-party data isn't just there to justify last quarter's budget. Its real value is that it makes every future decision easier in advance — from the visual on the next ad to what the insurance sign-up process itself should look like.