Industry Guides· 3 min read· By The SpideyChat Team

Bounce Rate and the Question Nobody Answered

A bounce is a question that went unanswered in nine seconds. A teardown of what the number is actually recording.


A marketing team reports a bounce rate of sixty eight per cent and sets a target of sixty. Nobody in the room can say why any individual visitor left.

Over the following quarter the layout is changed twice, the headline three times and a video is added. The number moves slightly and nobody can attribute it to anything.

Meanwhile the page does not say what it costs, whether it covers the visitor's area, or how long anything takes. Those three omissions are responsible for more of that sixty eight per cent than every change that was made.

The first failure: the metric describes an exit, not a cause

Bounce is one behaviour with a dozen causes. Optimising it without separating the causes is guessing, and the changes that follow are usually cosmetic.

The second failure: relevance is mistaken for design

A visitor from a campaign promising one thing, landing on a page about something adjacent, leaves because the page is wrong for them. No amount of layout work fixes a traffic problem.

The third failure: the source is not separated

Paid, organic, social and direct traffic bounce for entirely different reasons. A blended figure averages away the only useful information in the data.

The fourth failure: speed is assumed rather than measured

A visitor who leaves before anything rendered never saw the page. Checking the real mobile experience on the website speed checker usually explains a chunk of the number.

The fifth failure: the mobile experience is judged on a desktop

Most visitors are on a phone, most reviews happen on a laptop, and the gap between those two experiences is where a lot of bounce lives.

The sixth failure: the unanswered questions are consistent

Price, coverage, applicability, timescale and what happens next. The same short list on nearly every site, and the ground covered in landing page questions visitors ask anyway.

The seventh failure: the exit intent offer misses the point

A discount shown to somebody leaving because the page did not say whether you serve their area is an answer to a question they never asked.

The eighth failure: nobody ever asks the visitor

The cheapest research available is asking somebody, at the moment they hesitate, what they were looking for. Almost nobody does it and the answers are immediate.

The ninth failure: site search is ignored

Visitors type the missing answer into a search box. Those terms are the exact list of what the page should say, sitting unread in an analytics account.

The tenth failure: a good bounce is treated as a bad one

Somebody who found an address, a phone number or an opening time and left has been served perfectly. Counting that as a failure distorts every decision that follows.

The eleventh failure: the same pattern repeats deeper in the funnel

The cart version of this is identical in structure, which is the ground in abandoned cart questions nobody answered.

The twelfth failure: the measurement never improves

Teams keep reporting the same unexplained number rather than instrumenting the reason, which is the discipline in conversion rate questions marketers ask about chat.

The fix: intercept the exit with an answer, not an offer

An assistant that appears when somebody hesitates, answers coverage, price and timescale immediately and captures the enquiry converts the visitor who was leaving and tells you exactly which missing answer sent the previous hundred away. That interception is described in capturing high intent visitors before they bounce. Start at try, see features, and the sector view sits under marketing agencies.

Frequently asked questions

What causes a high bounce rate?
Usually a mismatch between what the visitor expected and what the page delivers, a page that took too long to render, or an unanswered question that made leaving easier than staying.
Is a high bounce rate always bad?
No, since a page that fully answers somebody's question can legitimately produce an exit, which is why the number means nothing without knowing what the page was for.
How do you find out why people leave?
By asking them at the moment of hesitation, by reading site search terms, and by comparing bounce across traffic sources to separate relevance problems from page problems.

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