Chris Messina

Markopolo AI - Reach 30–40% more customers with personal outreach at scale

We’ve officially shifted from our previous ad-automation tool and now, Markopolo AI delivers something entirely different. Instead of generic workflows, Markopolo AI analyzes each visitor’s real behavioral signals and generates individualized follow-ups across email, SMS, text messages and voice. The result? Customers convert at 30–40%, compared to the 10–15% industry average. No A/B testing. No manual optimization. Just LLM-powered campaigns that understand intent and adapt in real time.

Add a comment

Replies

Best
Pranab Dey

Great product! Congratulations on your launch. I am just curious how you balance data efficiency with accuracy? What signals help you decide which user events actually deserve to be embedded and which ones are just noise?

Rubaiyat

@pranab_dey1 Hi Pranab, thank you so much for the appreciation! We follow this general principle: context + intent signals get embedded, mechanical noise doesn't. A page view with 2-second dwell time? Noise. That same page view with scroll depth, zoom behavior, and a 3-minute duration? That's behavioral intent worth vectorizing.

Farshid Ahsan

how differently does Markopolo learn from first-time vs. returning visitors? And does it pick up comparison patterns between products or just surface-level actions?

Rubaiyat

@farshid_ahsan Great question! Returning visitors get an aggregated profile that compounds across sessions - like for a returning visitor, whose conversion probability jumped from 8% to 47% after his first purchase because we learned his wishlist hoarding was identity expression, not intent.

Dmitrii
Wow, how that works?
Rubaiyat

@dmitriipokidov Hi Dmitrii, Thank you so much for your comment, our secret sauce is behavior intelligence, and real time prediction to create communication strategy for 1:1 personalization at scale!

Marios @dessign
Congrats.. very cool and useful 🔥🔥
Rubaiyat

@dessignnet Thank you so much Marios, means a lot coming from you! 🙏

Guillaume Bardet

Gotta say this is such an epic tool! Congrats on the launch 🚀

Rubaiyat

@guillaumebardet Thank you so much Guillaume! Means a lot!

Vivian Wang

Hopefully this means customers will also get ads that are relevant to them vs. emails that they send to spam - a win-win!

Rubaiyat

@viviwng Hi Vivian, Yess, that's our vision as well! Behavioral intelligence over spray and pray marketing!

Nichole Elizabeth DeMerè (Eithiriel)

Absolutely ecstatic for your success today. Well deserved!

Rubaiyat

@nikkielizdemere Thank you so much Nichole! Your support means the world to us! 🙏🙏🙏

Paul Tseluyko

Incredible launch video!!!!!!

The product looks magical and we have been needed for a long time. Ultimate acquisition machine. About emails, how relevant are they? How do you scrape them?

Rubaiyat

@pasha_tseluyko Hi Pavel, Thank you so much for the appreciation! The visitor identification part is multi faceted, our completely focus is on our behavior intelligence based pattern matching for 1:1 personalization and the channels activates once the user gives proper auth for contact!

Dhruv Amin

@tasbin congrats on the launch!

Looks incredible. How much can it personalize the outreach? How does it ingest knowledge about the product? Do you think it works for AI SaaS businesses or primarily e-commerce your ICP?

Rubaiyat

@dhruvtruth Hi Dhruv, We achieve true 1:1 personalization through individual AI agents assigned to each customer - not segment-based approaches. Each agent builds a 384-dimensional behavioral vector that captures:

  • Browsing patterns and engagement history

  • Purchase behavior and cart interactions

  • Channel preferences and response patterns

  • Product affinity and category interests

  • Time-based behavior (urgency, browsing duration)

  • Psychographic signals (price sensitivity, intellectual vs. emotional buying) and more.

The personalization engine dynamically adapts:

  • Content tone and messaging (exclusive language for VIPs, educational for new customers, win-back urgency for at-risk)

  • Product recommendations prioritized by individual purchase probability

  • Channel selection based on past engagement

  • Send timing optimized per person

  • Communication strategy tailored to behavioral patterns

    We've launched this version focused for consumer businesses, will launch a massive update and a version finetuned for B2B use cases including AI SaaS this January!

Viktor Shumylo

Congrats on the launch! Love how you rebuilt the product around the real bottleneck instead of just the ads layer.
How does your AI detect hesitation or intent signals in real time? Curious how deep the behavioral engine goes.

Rubaiyat

@vik_sh Hi Viktor, Thank you so much for the appreciation! Means a lot!
We perpetually classify users across a dynamic set of behavioral categories (this also keeps evolving perpetually) with continuous updating as behavior evolves. You can see a glimpse of it in https://demo.markopolo.ai/ , would love to deep dive according to your usecase!