Voyantis

How do we make AI predict the future with 95% accuracy? The answer: Build 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 models. Here's how we've made it work for our clients: Let's say we have a user coming. It's been one hour since they registered. We don't know much except KYC attributes. Two hours later, they kept using the product. We gain more engagement touchpoints to consider. So, we need to update the prediction as the user keeps going. Typically, the first seven days are the attribution window. It's critical we keep updating the stream of predictions. And be able to act within hours from sign-up or visit. But what about the user activity after seven days? They can still be valuable in increasing accuracy. It can help with informed decision-making. Which campaigns are working better? Which targets are converting more? Which segments have high LTV? That's how we've built a prediction engine for clients like Notion, Miro, and NerdWallet. #artificialintelligence #marketing #growth #strategy #VBB

You can spend 100s of hours researching all your potential customers. Or you can focus your attention by time and value. 𝗕𝘆 𝘁𝗶𝗺𝗲: How many months will they continue to pay? How long does it take to convert them? How long is your time to value? 𝗕𝘆 𝘃𝗮𝗹𝘂𝗲: How much will they spend? How many users can they bring in? How much upsell can you pitch to them? We realized how much $$$ is left on the table when companies don't know how to: - Look for customers that extract the most value from their product. - Look for customers that convert into paid users or teams. - Look for customers that they retain for the long term. In the early stages, founders focus on sales to acquire more and more customers. Of course, they'll be a mix of free trial vampires, power users, and enterprise users. But as time goes by, you'll have enough data to segment your most profitable ones. 💬 So I always ask our clients: Does your company have enough customer data, and how are you using it to your advantage? #artificialintelligence #marketing #growth #strategy #VBB Image by: Aatir Abdul Rauf

Big changes are coming for Meta advertisers! Meta is expanding integration with third-party tools like Google Analytics and Northbeam, offering better visibility and more accurate attribution for advertisers. Plus, their new incremental conversion feature will shift the focus from sheer volume to valuable, meaningful conversions. Gabriel Matwiejczyk from Meta predicts a 30% performance boost with improved data visibility and an additional 20% from better incrementality measurement. At Voyantis, we’ve helped brands like MoneyLion optimize Meta campaigns with predictive and prescriptive AI. Read our blog below - link in first comment. Eran Birger #MarketingOptimization #MetaAds #Attribution #Incrementality #Voyantis #ValueOptimization #PredictiveAI #PrescriptiveAI

🎉 Exciting Announcement for Money 20/20 Attendees in Las Vegas! 🎉 Voyantis and GTM Guild are teaming up to host an exclusive, invitation-only event for those in town for the Money 20/20 conference! 🚀 Join us for an evening of networking, insights, and great conversations with industry leaders. 📅 When: Tuesday, October 29 7:00 PM - 11:00 PM PDT 📍 Where: Yardbird Table & Bar 🔗 Secure Your Spot: https://lu.ma/fwgf789n This is a private event with limited space, so if you're in town and ready to make the most of your time at Money 20/20, don’t miss out! #networking #Money2020 #fintech #Voyantis #GTMGuild

We charge our clients a good amount for this AI strategy. But I'm going to give it to you for FREE (𝘺𝘰𝘶'𝘭𝘭 𝘴𝘦𝘦 𝘸𝘩𝘺) Our predictive lifetime value roadmap has helped: Notion → 38% return on ad spend Miro → 30% more corporate plans Mosh → 26% increase in ARPU Here's our step-by-step to DIY: 1) Start by securing executive sponsorship because this requires substantial time and resources 2) Gather and store data in a structured format like a data lake or warehouse 3) Decide on targets like increasing six-month revenue, CAC, or profit margins 4) Train a machine learning model based on these goals and your historical data (I recommend applying feature engineering, time series analysis, and deep learning techniques to make accurate predictions) 5) Check the accuracy and relevance of the model's outputs (compare what the model gives you vs the actual historical data you already have) 6) Develop a strategy to interpret and act on the model’s predictions (this involves setting up mechanisms that turn predictions into specific actions like optimized ad targeting) 7) Go back to your executive team to confirm the new budget and resources needed to do this 8) Integrate the model with Customer API (CAPI) systems to begin real-time network training (this allows the model to start learning from live data, fine-tuning predictions as user interactions happen) 9) Quality-assure the model by checking conversion rates and match rates (are the predictions translating into expected outcomes?) 10) Troubleshoot and adapt as issues arise in a real-world setting (obstacles like data variances need immediate adjustments) 11) We always execute an A/B test to compare the model’s performance with and without certain interventions (this can last from several weeks to a couple of months) 12) Analyze the results from the A/B test (did it meet the objectives?) and then refine. 13) Strategically roll out the model across all accounts in phases (you don't want to disrupt the user experience or data consistency) 14) Regularly update and maintain the model to new data and patterns (this is a must to keep the model effective over time) Now, why am I sharing this with you for free? Because it's hard to do. Flawless execution is the only way this will work as intended. You need to invest in engineers, data scientists, and AI/ML experts. You need to continuously monitor data drifting, outages, or anomalies. You need several months to develop and test custom models to meet your goals. As far as I know, Voyantis.ai is the only done-for-you platform that can deliver these results predictably at scale. #artificialintelligence #marketing #growth #strategy #VBB

When 1 + 1 = 10X Growth!  Creative optimization + value-based targeting = game-changing results, powered by AI. By combining the AI-driven power of Alison.ai for creative optimization and Voyantis for value optimization, brands are seeing ROAS skyrocket. Alison.ai pinpoints what makes creatives resonate best with your audience, while Voyantis ensures you’re targeting the most valuable customers. Together, feeding Alison.ai’s creative insights into Voyantis’ LTV models doesn’t just add up—it multiplies, giving you a competitive advantage and delivering exponential growth and long-term returns on ad spend.Curious how the right AI-driven strategy can transform your campaigns? Let’s talk about unlocking your 10X potential! Blog post in 1st comment below #ROAS #Growth #AIOptimization #CreativeOptimization #ValueOptimization #AlisonAI #Voyantis #Marketing #AdTech #ExponentialGrowth #CompetitiveAdvantage

When 1 + 1 = 10X Growth!  Creative optimization + value-based targeting = game-changing results, powered by AI. By combining the AI-driven power of Alison.ai for creative optimization and Voyantis for value optimization, brands are seeing ROAS skyrocket. Alison.ai pinpoints what makes creatives resonate best with your audience, while Voyantis ensures you’re targeting the most valuable customers. Together, feeding Alison.ai’s creative insights into Voyantis’ LTV models doesn’t just add up—it multiplies, giving you a competitive advantage and delivering exponential growth and long-term returns on ad spend.Curious how the right AI-driven strategy can transform your campaigns? Let’s talk about unlocking your 10X potential! Blog post in 1st comment below #ROAS #Growth #AIOptimization #CreativeOptimization #ValueOptimization #AlisonAI #Voyantis #Marketing #AdTech #ExponentialGrowth #CompetitiveAdvantage

We helped Notion grow with a 35% rise in accounts with 3+ users. We helped Miro grow with a 35% increase in annual plan subscriptions. Now, we're helping SEMrush and NerdWallet grow. How? ⬇ At a certain point, companies want real growth. The kind of growth that impacts their profitability. Which is why we don't focus on increasing leads or sign-ups. We help our clients attract, capture, and retain paid and repeat users. Most companies get stuck looking at metrics like: - Clicking on a lead magnet - Opening an account - Free trial sign-ups But they don't know what drives free users to become paid or repeat users. Our role is to help them go deeper into the funnel: - Average seat count per customer - Annual subscriptions - Team activation We're able to predict and target the type of users that increase these metrics. aka Notion, Miro, SEMrush, and NerdWallet's most profitable users. What type of user are you optimizing for? #artificialintelligence #marketing #growth #strategy #VBB

For fintech companies, it takes at least 6 months to see who will end up as a high-value customer. But that's 6 months already too late. 𝗧𝗵𝗲 𝗼𝗹𝗱 𝘄𝗮𝘆: - Optimize for the 7-day window conversion for sign-ups or account opens. - No visibility on how to convert bottom-of-the-funnel metrics. - Gain insights AFTER the campaign is already finished. 𝗧𝗵𝗲 𝗻𝗲𝘄 𝘄𝗮𝘆: - Gain insights BEFORE and WHILE the campaign is ongoing. - Know who your most profitable accounts are from Day 1. - Optimize your campaigns continuously for better ROI. How? The data is right there. - Customers who take on loans. - Customers who opted for cash advances. - Customers who opened a savings account. You can use bespoke AI models to process all this data. Determine the segments and ICPs that result in high LTV. And in real time, you can optimize your campaigns for them. Which would you prefer? #artificialintelligence #strategy #VBB