How to improve product recommendations

38% of online consumers said they would stop shopping with a brand that made poor product recommendations. Shoppers today demand personal, unique experiences. Basic recommendations such as similar products and bestsellers simply aren’t good enough anymore.
Funny Amazon tweet

Anyone who has shopped with Amazon has experienced the same frustration. After you’ve bought a shower curtain, you don’t need to be recommended more shower curtains. Especially ones cheaper, or more expensive than the one you just purchased.

That’s not what anyone wants. Let’s be honest, it feels a little bit lazy of the ecommerce giant.

The thing is, product recommendations aren’t difficult to implement. With very little effort, you can reap the rewards that product recs all but guarantee. According to Barilliance, a single recommendation can increase AOV (average order value) by 369%.

The key is getting the right recommendations to the right customer, at the right stage of their journey. The more personalized and engaging recommendations are, the more they resound with your audience. The more resounding they are, the more you’ll benefit from larger orders.

Start the journey strong

Segmentation is essential for delivering the right content.

New subscribers should be automatically enrolled onto a welcome program. Welcome emails generate 320% more revenue than a generic campaign. Introducing them to your bestsellers as part of this is the fastest way to get them engaged with your product catalog.

Barnes & Noble welcome product recommendations

Give your audience a stir by demonstrating your range of products with category recommendations. And, Engagement Cloud’s AI-powered technology even takes care of tag generation, so each block is automatically filled for you.

Category product recommendations

By tracking what they click and where they go, you’ll also be gathering rich, valuable data for our AI-driven product recommendation tool to use in the future.

Make it special

Let the power of AI determine which products are likely to get shoppers excited to shop with you. Best next uses machine learning to predict items customers are most likely to purchase next.

Include this type of block at the end of your order confirmation emails or in abandon cart programs to drive them back to your site.

Ralph Lauren best next recommendations

Keep them coming back and inspire long-lasting loyalty by demonstrating you have everything they didn’t even know they needed.

Reveal hidden gems

Engagement Cloud’s AI-powered lookalike recommendation block analyzes your product catalog, identifies items with similar attributes and surfaces the products that go well together.

This is the perfect accompaniment to any abandoned cart email, driving customers back and helping to increase their AOV.

Tommy Hilfiger lookalike recommendations

Using lookalikes or best next utilizes the power of AI to push the products that will truly resonate with your audience.

Share them everywhere

Incorporate your product recommendations anywhere on your site. Pick-up underperforming products by featuring them in a custom recommendation block on a bestsellers’ page or show them something new with a what’s trending section on the homepage.

Buzzfeed trending recommendation

Let Engagement Cloud do the work

Make the most of every engagement with the help of our AI-powered product recommendation tool. Including intelligent product recommendations throughout the customer’s journey boosts sales and revenue. So much so, you’ll end up asking yourself ‘why wasn’t I doing this before?’