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Boost your ecommerce conversions with product AI recommendations 

9 min

Are you struggling with maintaining a continuous flow of sales for your online store? Do you feel like you’ve tried everything that’s in your budget but none of the quick fixes seemed to bring in the results you hoped for? Have you already considered giving GetResponse a try but couldn’t help but felt like some crucial functionality was missing? 

We got you! 

And from now on, we also got AI product recommendations – a perfect automated solution for improved user experience and more conversions for both your website and your email communications! Available for all GetResponse MAX users. 

 But before we jump into the specifics, let’s cover some other essential practices for boosting your ecommerce conversions. 

Read also: Ecommerce discount strategy: A nearly fool-proof guide

5 proven tips for growing your ecommerce revenue [and how to use product recommendations each time] 

Lately, it’s been a real digital jungle out there for online vendors. Customer expectations are high and competition is fierce. Every year there’s a new technological, marketing, or product update you must implement to stay afloat, not to mention get an edge. 

Fortunately, there are some practices that stay relevant and help you drive more sales regardless of the high-tech innovations. That’s why today we want to save you the talk about the multiverse and AR fitting rooms – they are definitely the trends of the future, yet you still need to grow conversions right now, and things are a bit less CyberPunk just yet.

If you’re after a more future-oriented approach, read how AI can enhance email marketing!

Instead, here are 5 verified strategies you could implement immediately and still boost your ecommerce sales: 

1. Never underestimate the power of personalization 

An example of product recommendations in ecommerce via "Products you recently viewed" and "Customers also like" categories
Pura Vida

Personalization is the primary element the rest of the tips shared in common. 

In ecommerce, customers expect personalization every step of the way. So it’s up to you to make sure they get optimized product pages, curated communications, and unique deals based on their online behavior. 

Email and marketing automation platforms, such as GetResponse, can make this process of enhanced personalization easier for you. Yet, at the end of the day, it all comes down to knowing your customer. And no one can do that but you. 

How to use product recommendations: the recommendation engine will study your audience’s behavior on your website and use automation to deduct which products they may be interested in the next time they visit your store. 

2. Work towards your omnichannel presence 

You can achieve an omnichannel presense by providing virtual in-store experience
ILIA Beauty allows customers to experiment with cosmetics shades online, providing the in-store experience for virtual shoppers

Omnichannel marketing has lately been a popular buzzword within the industry, but our advice here would be: don’t take it too close to your hearts. 

Sure, Disneyland and Sephora all serve as great examples of how far your business can go. Yet, realistically, not all of us can – or need to – afford to run a physical store, let alone an amusement park. 

Not every business needs to promote itself in TV commercials. Not every store has to invest in lavish co-ops with niche celebrities and influencers. Not every ecommerce merchant wants their handmade products to be readily available for purchase at Target. 

And it’s perfectly OK! Just make sure you do appear wherever your audience is likely to be. That’s how you achieve omnichannel-like multi-channel presence

How to use product recommendations: make sure you gather data across your customers’ channels. Did they click on your Instagram ad? Suggest the product from the ad as they complete their next purchase!

3. Don’t forget about optimization 

Nike mobile store as an example of m-commerce optimization

While we’re on the subject of omnichannel presence, there’s one important practice we need to mention here. Make sure every channel you use is optimized to the “T”. 

Your store needs to run and look equally well on desktop and mobile devices. Your visuals need to be optimized for accessibility and load speed. Your website copy needs to be optimized for SEO. Your messaging needs to be different for each social media platform. And so long, and so forth. 

How to use product recommendations: you can optimize your product recommendations, too! People are more likely to spontaneously buy low-investment purchases. So you might want to upsell or offer bulk-purchase discounts for cheaper items while cross-selling more expensive products.  

4. Use the full potential of social commerce

Image credit: Square

There are plenty of online stores that run solely on Instagram. Other ecommerce businesses prefer to use social media as an additional distribution/promotion channel. 

In any case, you should use your social platform for more than just beautiful product pictures and product updates. It even goes beyond creating shoppable posts and videos (that’s right, you can do that too, now!). 

Social media is your business card, customer support hub, and press center. It is where you get to showcase your UGC victories and where you can own up to your mistakes. Where you build and nurture relationships with the most important resource you have – your audience.

So put it to good use! 

How to use product recommendations: it is super easy to use highly visual platforms like Instagram, TikTok, and Pinterest for immediate product recommendations. Group items on your shoppable posts together so that they instantly cross-sell; create curated looks and collections; share how your customers mix and match your products – be creative! 

5. Make sure anonymous visitors get a personalized experience, too

Guest checkout on Stradivarius website

One of the main reasons for abandoned carts is the inability to checkout without signing in to an account. An intuitive fix for that struggle is to allow guest checkout. Seems pretty straightforward, doesn’t it? Well, yes and no. 

You see, on the one hand, your visitor will be more likely to purchase from you this one time. At the same time, you won’t have many personal data on them to go off from. Sure, you can use zero and first-party cookies to use in case they return to your store. But what if they never do? 

How to use product recommendations: Embedding an automated code on your website can help you track your visitors’ on-site behavior in real-time. This way, you’ll be able to provide personalized product recommendations even to people who visit your store for the first time. And, yes, your personalization will only get better if they choose to return.

10 proven ways to boost your ecommerce conversions infographic

10 proven ways to boost your ecommerce conversions

Grow your revenue, retain your customers, and drive more traffic to your online store with these proven marketing strategies. Try and see for yourself!

Get the free infographic

Keep reading for the specifics.

The undeniable benefits of using AI recommendations for your ecommerce store

We often say that there aren’t any one-size-fits-all marketing solutions for ecommerce. And that’s true. Yet, you aren’t getting a fixed framework with AI product recommendations. Instead, you get a powerful tool powered by Artificial intelligence that learns and adapts to your website and your audience over time. 

But that’s not the only benefit product recommendations bring to your table:

  • You can recommend products in real-time, with no need to wait for the automation platform to process data;
  • Personalize recommendations even to guest visitors thanks to on-page AI algorithms;
  • Thanks to enhanced automation algorithms, product recommendations work 24/7, converting visitors into customers;
  • Upgrade all your future email communications with personalized product recommendations tailored to specific users;
  • Thanks to the improved UX of built-in customizable recommendation scenarios, your website will look more user-friendly and engaging.

And there’s much more! That’s why we couldn’t wait any longer and wanted to share this great add-on with you ASAP. 

How product recommendations work 

If you decide to implement product recommendations in your store, there are only so many options for you to choose from. 

You can always build the entire recommendation engine from scratch. Of course, you’ll need a dedicated team of designers, developers, AI experts, and product specialists for that. The communications between the engine and your store are done by API in this model. It requires a lot of time, maintenance, manpower, and a high budget to implement and support. That’s why only large corporations tend to go this way. 

A slightly more common solution would be to rely on external recommendation engines while taking care of the rest yourself. As such, you would need to spend a lot of time collecting and analyzing data, building reliable scripts, designing frames, and maintaining both the front- and backend of the solution. It’s easy-er, but definitely not that easy. 

And finally, you could invest in an out-of-the-box solution, where the provider will take care of all the nitty-gritty for you, and all you’ll have to do is focus on conversion optimization. If you choose the right tool, you may even have a dedicated team of designers preparing mockups for you or have an option to embed product recommendations into your email communications.

That’s exactly what we do with GetResponse MAX!

Simple implementation 

All it takes to add automated AI-driven product recommendations to your store is adding a short code snippet to your website’s header – no API, no hustle, no stress. And it’s simple as it is effective – as all it takes to set up product recommendations on your page is to paste a code, your website’s performance won’t be affected in any way! 

Maintenance’s on us

That’s right! You don’t have to worry about data processing, analyzing, or anything like that. Our team of experts will ensure everything is up-to-date and functions as needed. 

On-brand messaging

Our design team will prepare mock-ups for your product recommendations UI to make sure it follows your store’s style and aesthetic – no need to get your own designers involved. 

Straightforward analytics

All your visitors’ data can be integrated with your Google Analytics account so that you can gain even more insights for future strategic decisions. 

Only available products are displayed

Our smart algorithms only recommend products that are left in stock. So you don’t have to worry about missed clicks and wasted promotion potential 

Recommendations beyond your website 

Take your email marketing campaigns to the next level by directly adding automated personalized AI recommendations to your communications. Invaluable for lead nurturing and returning customers! 

Ready-made scenarios and additional flexibility 

We wanted to make things as easy as possible, so our AI recommendations come with some out-of-the-box scenarios just waiting for you to try (and customize!):

  • “others also bought”
  • “similar products”
  • “recommended for you”
  • “continue where you left off”

And you can always email communications for the most common ecommerce needs as well:

  • Up- and cross-selling
  • Abandoned cart recovery
  • Price drop notification
  • Back-in-stock notification
  • And whatever else’s you envision!

Get full control over how you use product recommendations. Place recommendations on any section of your website – from product page to blog and email communications. 

Free trial period

We want you to fully experience the potential of this new GetResponse MAX add-on, so we let all of our MAX customers try AI recommendations for free for a whole month! See for yourself how easy it can be!

Upgrade to GetResponse MAX now and try it out!

Anna Kvasnevska
Anna Kvasnevska
Anna is a content marketing specialist and a proud member of the GetResponse team. With more than 5 years of experience in content creation, as well as her intercultural background and cross-industry perspective, Anna is happy to share her insights into the latest updates from the world of online marketing, eCommerce, and technology. Connect with Anna on LinkedIn.