Cringe-free AI: Prod­uct Rec­om­men­da­tions with GetResponse

No one seems to know that much about AI, but no one can get enough of it these days either. Arti­fi­cial Intel­li­gence (AI) has come a long way since the days of Siri and Alexa. What wows (and pan­ics) peo­ple today is the devel­op­ment of advanced lan­guage mod­els such as Chat GPT or AI-gen­er­at­ed visu­als, like those pro­duced by Mid­jour­ney, which spark all sorts of debates about the role of machines in cre­ative indus­tries. Yet, every­one is using AI any­way, or hop­ing to. 

IBM sur­veyed over 5,000 C‑level exec­u­tives about AI and found that 93% are con­sid­er­ing AI adop­tion. Anoth­er sur­vey by Ascend2 and Ora­cle report­ed that 42% of mar­keters already trust AI to per­son­al­ize con­tent and offers in real-time, while 30% fear they may be miss­ing out on AI capa­bil­i­ties. It seems like there’s always some new tech, mar­ket­ing or prod­uct update to imple­ment, mak­ing it hard­er than ever to get an edge. Cus­tomer expec­ta­tions are sky-high, and com­pe­ti­tion is fierce. 

Despite the uncer­tain­ty around this tech­nol­o­gy, one of the non-con­tro­ver­sial things about AI is its use for eCom­merce in gen­er­al and for prod­uct rec­om­men­da­tions in par­tic­u­lar, which is the top­ic of this post. With the help of AI-pow­ered prod­uct rec­om­men­da­tions, busi­ness­es can offer a per­son­al­ized shop­ping expe­ri­ence to their cus­tomers, increas­ing the like­li­hood of pur­chas­es and dri­ving revenue. 

GetRe­sponse gets AI

In 2022, our Poland-based e‑mail mar­ket­ing com­pa­ny part­ners from GetRe­sponse acquired Recostream, an AI prod­uct rec­om­men­da­tions start­up whose advanced AI/​machine learn­ing soft­ware inte­grates with most eCom­merce plat­forms. This allowed GetRe­sponse to expand their prod­uct offer to inte­grate per­son­al­ized prod­uct and con­tent tips based on AI-dri­ven analysis.

So let’s beam you up, Scot­ty and dis­cuss GetRe­spon­se’s prod­uct rec­om­men­da­tion fea­ture to see how it can help your busi­ness opti­mize con­ver­sion rates and stay ahead in today’s high­ly com­pet­i­tive, and con­stant­ly chang­ing, dig­i­tal landscape.

How do GetResponse’s AI prod­uct rec­om­men­da­tions work?

AI-enabled prod­uct rec­om­men­da­tions work by iden­ti­fy­ing cus­tomer pref­er­ences through analy­sis of their rat­ing of prod­ucts, shopping/​browsing his­to­ry, pur­chase habits, sim­i­lar­i­ty in pur­chase pat­terns, and more. 

The ben­e­fits of AI-enabled prod­uct rec­om­men­da­tions are sig­nif­i­cant for both com­pa­ny and cus­tomers. They reduce time spent search­ing for items, pro­vide a more per­son­al­ized expe­ri­ence, and offer an oppor­tu­ni­ty to pur­sue new inter­ests based on deep analy­sis of cur­rent cus­tomer and mar­ket trends. That’s great for cus­tomers. They increase order intake, pro­vide tar­get­ed mar­ket­ing strate­gies, allow for the pro­vi­sion of con­tent based on deep­er analy­sis of cus­tomer needs, and improve cus­tomer attrac­tion, sat­is­fac­tion, and reten­tion. That’s great for companies. 

AI prod­uct rec­om­men­da­tions uses arti­fi­cial intel­li­gence to match your prod­uct offer­ings to the pref­er­ences, needs, and habits of each of your store vis­i­tors – sug­gest­ing the prod­ucts and ser­vices they’re most like­ly to buy.

GetRe­sponse

The GetRe­sponse prod­uct rec­om­men­da­tion fea­ture is designed to boost con­ver­sion rates by dis­play­ing prod­ucts to vis­i­tors who are most like­ly to make a pur­chase, based on their past behav­ior and trans­ac­tion­al his­to­ry. This not only increas­es upsells and cross-sells but also improves the store’s UXby serv­ing as a nav­i­ga­tion tool, there­by increas­ing the amount of time cus­tomers spend on the web­site and ulti­mate­ly dri­ving more conversions.

By lever­ag­ing AI to ana­lyze store traf­fic and user behav­ior, busi­ness­es can make informed deci­sions that lead to bet­ter out­comes. The beau­ty of the fea­ture is that it offers cut­ting-edge tools to dri­ve con­ver­sions with­out the need for increased bud­gets or lengthy imple­men­ta­tion cycles. Anoth­er gem is that it ver­i­fies each prod­uct against stock avail­abil­i­ty, ensur­ing there are no missed clicks for cus­tomers, which sig­nif­i­cant­ly increas­es the return on invest­ment (ROI) and aver­age order val­ue (AOV) for merchants.

Num­bers and tips

These are the fig­ures pro­vid­ed by GetResponse:

• Up to 10% sales increase thanks to AI-dri­ven recommendations.
• Up to 30% sales attrib­uted to prod­uct recommendations.
• Up to 70% increase in click-through rates on a web­site or email.
• Up to 33% increase in aver­age order value.

And these are 5 prac­ti­cal ways in which you can grow your eCom­merce rev­enue with AI Prod­uct Recommendations:

1. Per­son­al­iza­tion 

The con­cept sounds so imper­son­al, and yet one of its most use­ful fea­tures is its per­son­al­iza­tion pow­er. E‑commerce cus­tomers expect per­son­al­iza­tion every step of the way, which leaves it up to you to make sure they get opti­mized prod­uct pages, curat­ed com­mu­ni­ca­tions, and unique deals based on their online behav­ior. This process can be made much sim­pler with GetRe­sponse. The rec­om­men­da­tion engine will study your audience’s behav­ior on your site and use automa­tion to deduct which prod­ucts they may be inter­est­ed in the next time they vis­it your store. 

2. Omnichan­nel pres­ence 

Anoth­er pop­u­lar buzz­word here. To improve your omnichan­nel pres­ence you can use the prod­uct rec­om­men­da­tions fea­ture to gath­er data across your cus­tomers’ chan­nels and sug­gest prod­ucts they liked or clicked on social media ads or oth­er places as they com­plete their next purchase.

3. Opti­miza­tion 

Every­thing needs opti­miza­tion. 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 copy needs to be opti­mized for SEO and your mes­sag­ing needs to be dif­fer­ent for each social media plat­form. Know what else you can opti­mize? Prod­uct rec­om­men­da­tions. GetRe­spon­se’s prod­uct rec­om­men­da­tion fea­ture can help by automat­ing upsells and cross-sells based on the prod­ucts your cus­tomers are inter­est­ed in.

4. Social eCommerce

Social media plat­forms are not just for post­ing beau­ti­ful prod­uct pic­tures and updates. A smart social media strat­e­gy can help busi­ness­es weath­er the storm of pos­si­bil­i­ties, enhance their brand’s growth and reach new audi­ences. Even if you pre­fer to use social media as an addi­tion­al dis­tri­b­u­tion or pro­mo­tion chan­nel, there are many things to do beyond post­ing memes. Even beyond cre­at­ing shop­pable posts and videos.

GetResponse’s AI Prod­uct Rec­om­men­da­tion fea­ture allows you to take advan­tage of high­ly visu­al plat­forms such as Insta­gram, Tik­Tok, and Pin­ter­est. By group­ing items on your shop­pable posts, you can eas­i­ly cross-sell, cre­ate curat­ed looks and col­lec­tions. You can also show­case how your cus­tomers mix and match your prod­ucts. The pos­si­bil­i­ties are end­less, so let your human pow­ered cre­ativ­i­ty run wild!

5. Ani­mate the Anonymous

Per­son­al­ized prod­uct rec­om­men­da­tions are super use­ful to increase sales and reduce cart aban­don­ment rates. But what about anony­mous vis­i­tors who don’t have an account with you yet? With GetRe­sponse AI prod­uct rec­om­men­da­tion fea­ture, you can embed an auto­mat­ed code on your site that tracks vis­i­tor behav­ior in real-time, which means you can pro­vide per­son­al­ized rec­om­men­da­tions to first-time vis­i­tors too.

Imple­men­ta­tion

There are dif­fer­ent ways to imple­ment AI Prod­uct Rec­om­men­da­tions. You could build your own rec­om­men­da­tion engine from scratch, which will require a lot of time, mon­ey, and exper­tise. Alter­na­tive­ly, you could rely on exter­nal rec­om­men­da­tion engines, but this still requires a sig­nif­i­cant invest­ment in time and resources. The eas­i­est and most effec­tive option is to invest in an out-of-the-box solu­tion, such as GetRe­sponse MAX.

Your team will only have to add a short code snip­pet to your web­site’s head­er, and that’s it. GetRe­sponse takes care of all the data pro­cess­ing and main­te­nance, and their design team will cre­ate mock-ups for your prod­uct rec­om­men­da­tions UI to ensure it match­es your store’s brand­ing. Their algo­rithms only rec­om­mend prod­ucts that are in stock. This means you nev­er have to wor­ry about missed clicks or wast­ed pro­mo­tion poten­tial either. All the vis­i­tors’ data can be inte­grat­ed with your Google Ana­lyt­ics account to give you even more insights for future strate­gic decisions.

The prod­uct rec­om­men­da­tion fea­ture offers a range of rec­om­men­da­tion types, includ­ing ​“Rec­om­mend­ed for you,” which uses a self-learn­ing mod­el to dis­play rec­om­men­da­tions with the high­est prob­a­bil­i­ty of con­ver­sion for each cus­tomer. The algo­rithm also rec­om­mends the ​“Most viewed in cat­e­go­ry” and ​“Most sim­i­lar in cat­e­go­ry” prod­ucts, as well as prod­ucts based on cus­tomers’ pre­vi­ous vis­its to the store and those that oth­ers have viewed or pur­chased. Shop own­ers can also define rule-dri­ven rec­om­men­da­tions to pro­mote spe­cif­ic prod­ucts to their customers.

Sce­nar­ios like ​“oth­ers also bought” and ​“sim­i­lar prod­ucts” allow you to cus­tomize and opti­mize your prod­uct rec­om­men­da­tions eas­i­ly. And you can always use prod­uct rec­om­men­da­tions in your email mar­ket­ing cam­paigns for lead nur­tur­ing and return­ing customers.

Ready to try?

To expe­ri­ence the poten­tial of GetRe­spon­se’s AI prod­uct rec­om­men­da­tions, you can try it for free with the MAX plans. Give it a try and dis­cov­er how effort­less and effec­tive per­son­al­ized prod­uct rec­om­men­da­tions can be for your ecom­merce busi­ness. Or con­tact us for a free con­sul­ta­tion of our email mar­ket­ing services.