With such staggering revenue losses, your eCommerce site should aim to beat the competition by offering the best experience, not the best deal. Here are three actionable tips you can implement immediately to help combat search abandonment.
1. Determine Your Optimal Number of Product Previews
The product previews are the first thing your customers see after they hit that search button; too many results can overwhelm a customer, but too few results – especially if those results are not personalized or relevant – can also result in an abandoned search.
So run A/B tests on the size of your product previews to determine the optimal number per screen – as well as how many should live above the fold.
2. Discover Your “Golden Path” CTAs
However, that multi-step journey involves multiple calls to action (CTAs). Figuring out what the key CTAs for your site are, and then optimizing the customer experience for them, can help greatly improve conversions and reduce search abandonment.
3. Determine Your High-Intent Metrics
While search is a great sign of customer intent, it may not be the most important one. A full-funnel analysis may discover that viewing a product page or adding to cart may be the most indicative of user intent to complete a purchase. Those metrics - the ones that show highest intent to purchase – are the ones you should be optimizing for, and working to increase as they’ll generate the biggest gains site-wide.
In the highly competitive eCommerce landscape, search remains the most essential element for a great customer experience. With billions of dollars at stake, tackling search abandonment is the single biggest opportunity for most retailers to boost their conversions, improve revenue and create loyal customers who will return again and again.
Whether you’re a B2B wholesaler or B2C retailer, GroupBy’s Product Discovery Platform, powered by Google Cloud Vertex AI Search for Retail, helps enterprise-level eCommerce retailers tackle issues like search abandonment. Our one-stop-shop with industry-leading features for data enrichment, search, recommendations, navigations, personalization, merchandising and search analytics helps brands create seamless omnichannel shopping experiences which increase customer loyalty, boost sales and increase revenue.
