reduced a for profit school's expenditures in one key area by 80% all while increasing conversions - not just rates. Then prioritized their calling lists and saw over 150% lift in start rate performance. Revamped email metrics to measure what was actually working and where it mattered - providing a wildly different view of success vs. traditional campaign metrics. Discovered missed opportunity area that when leveraged drove an additional 23% lift in starts. And that was just the beginning!
leveraged a retailer's site and store data to predict the next most likely purchase. featured a different item in each target group's email. open rates up by 450% and sales rates almost tripled
changed the acquisition strategy for a retailer and actually increased CPA by over 210% - sounded bad until we showed that these customers were 1,310% more profitable than their average customer (on just the first purchase). we also reduced deal dependence by offering the minimum discount required to get each customer to purchase
created dynamic scoring models for an online university's inquiries:
saving millions of dollars vs. the "category leader's" data models
providing a 247% improvement in lift
95% of all conversions come from just 10% of all leads
20%-350% performance rate lifts while reducing costs in each effort to just 10% of prior attempts
brought together a CPG company's transactional database, channel activity, social interaction, email open rates and subjects, CRM involvement, event attendance, primary and secondary research and media data to optimize all aspects of a company's marketing. results--too numerous to list--but cut acquisition costs by 29%, increased new customer value by 51% and existing customer sales rose by 11%. and when we reduced "spraying" across media, instead opting to target customers by channels--CTRs went way up. and oh--we ran out of one promotional offering because of an overwhelming response rate--whoops
for a weight loss client, we saved them almost $1MM per campaign vs. the model results from their existing large analytic ad agency
identified who was likely to leave a healthcare client and when. applied a cross channel approach and targeted messaging reduced customer churn by almost 34%
discovered that one of the largest chains of casual dining restaurants was gearing it's social and CRM campaigns around the most responsive customers. they were also their lowest value ones--losing money with every infrequent purchase. changed the strategy to focus on higher value customers ones and deliver what they wanted. result: increased campaign profitability by over 460% and finally got those pesky high value folks to join the loyalty program
reduced costs by over $730M through campaign analysis for a b2b player with a corresponding loss of just $17M in revenue. optimized communications with next most likely product for each segment and improved overall sales rates by 19%
changed another retailer's strategy to leverage the least expensive CRM channel that worked - for each individual customer. results - costs went up by 12% (digital wasn't always the answer) - and sales up more than 2x. ROI? can't share that but we can tell you that they are still doing it.
And we have much, much more - but you get the picture