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10X CTR & CONVERSIONS.

CONTENT PRODUCT VISUAL GAME INFLUENCER USER RECOMMENDATIONS

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You Run an Online Platform…

… and you are still displaying the same generic offers to every user. Perhaps, you also need to match users with other users. BUT:

  • You don’t know where to start.
  • You are not familiar with the recent recommendation technologies using LLMs and vector stores.
  • You can not hire a team of 10 people to start learning how to do it.

So, you’re back where you started…and you are losing conversion opportunities every day!

Are You Struggling to Enter the Era of Hyper-Personalization?

  • I’m stuck in the traditional display
  • I’m unfamiliar with the tech behind AI and LLMs for recommendation systems
  • I feel like I’m missing out on conversion opportunities
  • My platform lacks a personalized touch, driving customers away

Dynamic Personalization…
…to Every User

Let’s skyrocket your performance and enhance your users’ satisfaction with next-gen recommendation systems.

FROM

One-Size-Fits-All Content Display
Poor User Experience
Day & Night struggle to improve user engagement
Missing Cross-selling & Upselling opportunities
Missing the full potential of your online traffic

TO

Online & Real-time recommendations
Recommend products, users, content, visuals, and more!
AI trained on user social content, product descriptions, and interaction data
State-of-the-art LLM integrations
User search: find the best users for a specific offer

+28% REVENUES WITH

PRODUCT RECOMMENDATION

FOR A REWARD PLATFORM

In the reward industry (cashback, play-to-earn), maximizing CTR does not mean maximizing long-term revenue. Our recommendation system optimizes long-term gaming/cashback revenue by leveraging the complex, ongoing interactions of all players with all offers.

More information about the technical approach we implemented:

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+266% CTR WITH

VISUAL RECOMMENDATION

FOR A GAMING PLATFORM

For any online game, the visual displayed on a web page significantly impacts the CTR. Tests have shown that CTRs are primarily driven by the content of the image in relation to the gamer’s demographics. Based on this observation, we have developed a recommendation system capable of displaying the best visual to each gamer using user demographics and interaction data.

More information about the technical approach we implemented:

Read more

INFLUENCERS RECOMMENDATION FOR BRANDS USING SOCIAL MEDIA

Identifying the most suitable influencers for a brand is a significant issue in influencer marketing. We have developed a recommendation system that uses social data (content posted by influencers) to sift through more than 250,000 top influencers and recommend the ones that are the best match for promoting a brand’s products.

More information about the technical approach we implemented:

Read more

META MAKES B$ PRIMARILY BY RECOMMENDING THE MOST ENGAGING CONTENT.

WHAT ABOUT YOU ?

Our mission is to provide digital platforms with the latest AI recommendation technologies, just like Meta, to enable them to maximize their revenue and lead the race in their industry.

Mehdi B.

Founder

4 reasons why we should talk now!

We will only proceed if it is useful for your business.

We speak simply: no technical jargon, no buzzwords, no bullshit.

We say what we do.

You do what we say.