What Users Want: Using Internal Site Search for Prioritization

No matter what you do with your visitor data — no matter how good your analyst is, no matter how advanced your segments are, no matter how customized your reports end up being — it can't tell you what users want. Oh, the data can show you patterns that come close — funnel drop-offs for this type of intent, groups of pages accessed most for that other thing — but you still have to infer rather than analyze, and you're inferring against data with a lot of noise.

Long story short, traffic doesn't give you precise data about user intentions. Full stop.

There are really two things that most sites do to get good qualitative data. One is having an exit survey — i.e., asking users directly about what they want. Companies like iPerceptions, OpinionLab and ForeSee can get you direct comments from users, and this is excellent for intent. The other thing is something most sites already have, but not a ton of site owners mine for intent data: internal site search.

Analysis of internal site search can reveal a lot more than sheer number of people searching or items directly being searched for. It's a direct verbatim from your customers and prospects. Consider the following when analyzing your internal site search:

1. Groups of queries determine what's broken. If you take the time to study your top queries and group them into buckets, you'll see patterns emerge. The things people search for most are things that aren't obvious from your navigation structure. Make sure you fix that issue.

2. Pages that lead to a lot of searches may require usability tweaks. If there are pages where the number of searches is disproportional to the overall visibility of the page, then the content of the page needs to more closely align with the searches.