
Using Baidu Analytics'' click map to observe user behavior — moving popular content and products to prominent spots and adding inquiry buttons at the right place — effectively lowers bounce rate and lifts conversion.
Most SEO webmasters have used Baidu Analytics, which covers a wide range. If a site has decent traffic, how should we tune pages based on it? Here is some of the adjustment data I collected.
The comparison shows the bounce rate dropped noticeably — not yet very low, but the effect is visible.

What should guide the adjustments?
I mainly used one tool — the page click map — which visually shows traffic trends and reveals which content users like and linger on. Recommending favored content makes traffic more valuable and lifts conversion.
At first I only added click tracking on the homepage; a week''s trend showed some columns had good click rates. After adding tracking to other columns, a pattern emerged: in the "Roots blower" list I recommended several products, and users clicked by preference rather than position — one product was especially popular. I moved that most-popular product to the top-left, and later its click rate was clearly high.
The heatmap also showed users browsing past the "specs" section dropped off — likely a page-length issue. I added a customer-service inquiry button there, and the response was great: many users browsing to that point chose to consult.
