What Is a Product Click Table?
A Product Click Table is a database table that stores raw product click events. Each row generally represents one recorded click on a product link, product listing, recommendation, or similar commercial element.
On WheelInterchange.com, this could include clicks from a wheel, tire, hub ring, spacer, adapter, or other product-related link. The table belongs to the site's analytics or event-tracking system; it is not part of the technical wheel-fitment database.
What Information Does It Store?
The exact columns depend on the site's implementation, but a raw click event may include information such as:
- The product or listing identifier
- The page or placement where the click occurred
- The date and time of the event
- A session, visit, or anonymous user identifier
- A destination URL or merchant identifier
- Campaign or referral information
These fields are examples, not a required schema. The defining characteristic is that the table preserves individual click events instead of storing only totals.
How It Is Used
Analytics systems can use a Product Click Table to answer questions such as:
- Which product links receive the most clicks?
- Which fitment pages generate interest in related products?
- Do users click more often from a vehicle application page, a comparison page, or a glossary article?
- How many clicks occurred during a particular period or campaign?
Raw events can later be grouped into reports, such as clicks by product, page, date, device, or traffic source. Keeping the raw records also allows reporting rules to be changed without losing the underlying event history.
Product Clicks vs. Fitment Data
A product click does not prove that a product fits a vehicle. It only shows that a user selected a product link or listing.
For example, a user might click a wheel shown near a fitment result marked Check Fitment. That click does not change the result to Direct Fit, and it does not confirm the wheel's bolt pattern / PCD, center bore, offset, wheel width, brake clearance, or lug hardware.
Fitment decisions should continue to use the relevant technical data for the donor vehicle, target vehicle, and wheel. A Product Click Table should not be used as a substitute for those records.
Common Data Mistakes
Several issues can make click reports misleading:
- Counting repeated clicks as separate users without a defined deduplication rule
- Treating a click as a purchase, conversion, or confirmed fitment
- Losing the product identifier when a link redirects to another destination
- Recording clicks without the page or placement, making performance comparisons difficult
- Mixing test events, bot activity, and real user events
- Changing product identifiers over time without preserving a mapping
A raw event table should preserve what happened. Filtering, deduplication, attribution, and conversion calculations should be documented separately so the original event data remains interpretable.
Example
If a visitor clicks a hub ring link from a page discussing a wheel with a larger center bore, the Product Click Table may record that click along with the product identifier, page location, and timestamp. The event can show interest in the hub ring, but it does not establish that the ring is dimensionally correct or that the complete wheel-and-vehicle combination is safe.
Those questions require fitment information such as the wheel center bore and vehicle hub diameter. Analytics records measure user interaction; fitment records describe physical compatibility.