OptiMine consistently improves paid-search financial returns by 25 percent or more, and we can prove it. This chart shows the results of retailers have experienced in customer-run trials. If you want to see the details behind some of these successes, visit the retail case study page.
Industry |
Business Metric |
Goal |
Incumbent Bidding System |
Result |
| Retail | Net Profit | Increase Net Profit | Ad Agency | 299% higher Net Profit with a 9% decrease in Revenue |
| Retail | Net Profit | Increase Net Profit | Ad Agency | 40% increase in Net Profit with 8% increase in Revenue |
| Retail | Net Profit | Increase Net Profit | Online Marketing Suite Provider | 1200% higher Net Profit |
| Retail | Signups | Increase Signups | Ad Agency | 216% more Signups, met Cost per Signup constraint |
| Retail | Orders | Maximize Orders | Ad Agency | Reduced Cost per Order by 48% |
| Retail | Revenue | Increase Revenue | Analyst | Increased Revenue by 67% year over year |
| Retail | Revenue | Increase ROAS | Analyst | Increased ROAS by 89% with a 6% decrease in revenue |
| Retail | Revenue and Margin | Increase Profit | Analyst | Increased profit by 87% |
| Retail | Revenue | Maximize Revenue | Online Marketing Suite Provider | Increased revenue by 21%, decreased cost of sales by 63% |
| Retail | Revenue | Maximize Revenue | Analyst | Increased revenue by 50%, decreased cost of sales by 46% |
Results are mostly from A/B tests with OptiMine (treatment) taking on a portion of the paid-search spend and the incumbent (control) managing the rest. Both the treatment and control groups are given the same goal and constraints by the customer to guide their bidding decisions to make the comparison of results quite fair.
