If you have an iPhone or any kind of smartphone, it’s likely that you use it to search for contacts, search the web or use search to find apps and music. If you go to a website and don’t find a category you’re looking for or just want to save time, you will likely use search for the item you want.
Failure to Result
Think about how important search is to your store, website and your technological life. Now stop and think about how you feel when you get a failed search result. You thought your favorite online shop had blue jeans from jbrand, but they didn’t show up in your search results. Is the average customer going to go item by item and hunt for them? Not likely. Weak onsite search will definitely result in low customer retention, high bounce rates, and an overall disappointing site experience.
Why Onsite Search Matters
Onsite search can not only help a customer find what they are looking for, but it can help you personalize their experience when they make a return visit. When you supplement onsite search with machine learning, you start to really improve the user experience in the moment. By relating the terms used – whether they are within a Google search or on your site itself – you can ensure that searchers find what they are looking for.
We have all searched for something in Google only to find bolded terms under the organic link, and then ended up on a completely irrelevant landing page. It’s frustrating. With many search technology providers in the market, it’s important to consider the needs of your ecommerce customer when committing to the right product to augment your on site search.