Compare how conventional bidding overlooks value while AdZeta's Predictive AI targets and captures your most profitable customers.
These are the typical results our clients achieve – and you can too.
Higher return by optimizing bids for predicted lifetime value, not just initial sales.
Lower acquisition costs through efficient, value-driven AI targeting.
Significant boost in Customer Lifetime Value via optimized acquisition.
Less budget wasted by automatically avoiding low-value segments.
Our Predictive AI analyzes key customer signals—behavior, purchase patterns, engagement—to precisely identify the segments driving your real long-term profit (LTV)
Know who's worth more, sooner. We accurately forecast future Customer Lifetime Value (LTV) before you bid, targeting users likely to deliver 3-5x higher returns.
Activate smarter bidding. Our AI uses these predictions for Value-Based Bidding (VBB), automatically focusing your ad spend on high-LTV customers on Google & Meta and reducing waste by up to 40%.
Watch your campaigns optimize in real-time as our AI identifies high-value customers and maximizes your ROI.
AI analyzes customer behavior patterns to predict lifetime value and identify your most profitable segments.
Automatically adjusts targeting and bidding strategies to focus budget on customers with highest ROI potential.
Track real-time improvements in ROAS, CPA reduction, and budget efficiency across all your campaigns.
We go beyond basic ad optimization. Our Predictive AI and e-commerce focus deliver unique advantages for sustainable profit growth.
Join powerhouse brands driving growth with us.
Value-Based Bidding (VBB) is an advanced advertising strategy that optimizes bids based on a user's predicted Lifetime Value (LTV) or potential profitability, rather than just their likelihood to make an initial conversion (like traditional CPA/ROAS bidding). Adzeta uses Predictive AI to enhance VBB, focusing your ad spend on acquiring customers who drive the most long-term profit.
Our proprietary AI analyzes hundreds of signals from your first-party data in real-time. This includes historical purchase data, website/app user behavior, product interactions, campaign engagement, and key demographics. By identifying patterns correlated with high long-term value, our models accurately forecast the potential LTV of new visitors, often before their first purchase.
Adzeta specializes in applying Predictive AI and Value-Based Bidding across the key platforms crucial for e-commerce growth, including Google Ads (Search, Shopping, PMax, YouTube), Meta Ads (Facebook, Instagram), TikTok Ads, and leading Programmatic Advertising DSPs.
While results vary, clients typically see significant improvements after implementing Adzeta. Common outcomes include measurable reductions in Customer Acquisition Cost (CAC) (often 30%+), substantially higher LTV-focused ROAS (frequently 3-4x+ lifts compared to previous methods), and overall more profitable and sustainable scaling of their ad campaigns. Your free audit will provide a personalized potential analysis.