All posts tagged: LTV

TechCrunch+ roundup: Using predictive LTV, Boston VC survey, active learning for ML teams

TechCrunch+ roundup: Using predictive LTV, Boston VC survey, active learning for ML teams

Last fall, Voyantis CEO Ido Wiesenberg shared a TC+ post with several tactics for reducing customer acquisition costs via predictive modeling. In a follow-up, he explains how to use predictive lifetime value (LTV) to create “more targeted, effective acquisition strategies that focus on acquiring and retaining customers.” Adding predictive LTV to decision flows does more than just identify lucrative customers early in the sales cycle — you can also use it to set performance targets and help teams adjust campaign budgets midstream. Full TechCrunch+ articles are only available to membersUse discount code TCPLUSROUNDUP to save 20% off a one- or two-year subscription “Not using predictive LTV to inform decisions is like going on a hike, not knowing where it will end and how hard it will be,” writes Wiesenberg, who says combining CAC with predictive LTV optimization balances risk and growth. This post includes real-life examples of predictive LTV decisions that can help generate higher returns on ad spending or identify underperforming campaigns that can be stopped in their tracks. Thanks very much for reading, …

Using predictive LTV to juice up marketing campaigns

Using predictive LTV to juice up marketing campaigns

Ido Wiesenberg Contributor More posts by this contributor Use predictive marketing to cut CAC at your PLG B2B startup As a marketing veteran, you’re likely familiar with the concept of LTV (lifetime value) and its importance in determining the success of your acquisition strategies. But, are you utilizing predictive LTV in your day-to-day decision-making? If not, you’re missing out on a powerful tool that can give you a competitive edge and an opportunity drive growth for your business. Predictive LTV is a method of precisely estimating the future value of a customer, based on their historical behavior and other relevant data. By combining this prediction with traditional metrics such as CAC (customer acquisition cost), you gain a new dimension of knowledge that was previously inaccessible to you. This allows you to make more informed decisions that balance the cost of acquisition with your predicted return on investment. In a sense, not using predictive LTV to inform decisions is like going on a hike, not knowing where it will end and how hard it will be. …