Grow Revenue from Paid Search Using Smarter Bidding
Automated bidding optimization delivers higher campaign revenues and return on ad spend (ROAS) than built-in platform smart bidding systems. conDati’s AI-based algorithms scan for revenue lift opportunities across thousands of micro-segments, continuously adjusting based on the competitive bidding environment. Customer experiences show a consistent revenue improvement of up to 50% vs. built-in platform smart bidding.
The math is complex.
Using it is easy.
RevenueLift Optimization uses machine learning to look at diminishing marginal returns and statistical significance of conversion rates to identify high-potential microsegments that will return lift. It does this by analyzing and comparing targeting variables such as demographic, geographic, timing, creative, and device. There’s no way a human or conversion-based algorithm could optimize revenue across all the possible permutations of these, especially when the competition for keywords is also changing in real-time.
RevenueLift also looks at saturation levels across each microsegment of your campaign to precisely identify pockets of opportunity available. The optimal combination of bid adjustments is found that will increase revenue within your current budget. What may have appeared to be saturated now becomes a treasure trove of revenue potential.
Bid Smarter with conDati
Get more revenue using the same ad budget.