If you close your eyes and imagine what a search engine results page looks like you probably see something that looks a lot like Google’s search results. You see a list of titles and text snippets that potentially describe the thing that you’re looking for. That’s what Google and Amazon and practically every other site has trained us to see. What few people see is a grid of tiles. This is probably a good thing as there are few use cases that tiled search results are effective.
Autocomplete is the bane of any message sent from a mobile device. However, one place where autocomplete shines is on search engines. Autocomplete, also called autosuggest or incremental search, improves the user experience by making it easier to execute searches by suggesting words and phrases that a matching algorithm determines are appropriate based upon the characters entered into a search box. Google has had autocomplete in their search box since 2008. Following in their footsteps, any company that values its customer experience has implemented autosuggestion in their site search. But there’s a new trend in the type-ahead game that we’ve begun to see cropping up on more and more company websites: Instant Search.
A/B Testing Site Search
A few weeks ago I participated in a webinar over on Biznology. I shared five strategies for improving site search using A/B testing. Long a part of the digital marketer’s toolkit, A/B testing has relevance for search analysts as well. Using these methods you can test new settings against a portion of your live traffic without risking tanking things altogether. Once the new settings have proven themselves, you can deploy them to the primary search engine.
Most companies don’t measure site search well. They rely upon out of the box measurements that measure activity instead of outcomes. Nowhere is this problem acuter than when you move from one search engine to another.
- How do you exceed customer expectations if you don’t have an effective baseline?
- How do you know you’ve done the migration well if you don’t measure the gap before and after?
- How do you ensure improvements in content and algorithms are effective?
A/B testing of the search engines is the answer. Check out the webinar. You can also read a short version I did in a blog post a few weeks ago.