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Why Analytics |
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- A US retailer gets a 40% redemption rate from its analytically-targeted coupons, compared to an industry average of 2%, & believes promotions have increased overall sales by 5%
- A global fast food chain has increased focus on examining reams of customer data measuring everything from whether customers are moving towards low value or smaller meals or dropping soft drinks from their orders to exactly how much they're willing to pay for a food item
- A global telecom company leveraged predictive analytics to provide sales & marketing a targeted “best prospects” list, and improve direct mail campaign response rates by 100%
- Targeted promotions for an airline produced cost savings and incremental revenue of ~ 17 million per year
- About 2000 of 100,000 credits card customers who used their card at drinking places missed 4 payments in the next 12 months compared to only 500 who used their card at dentist
- Analytics was not relevant for the an old financial institution, but it is now central to the bank’s growth and success
- An Insurance company profitably insures in traditionally high-risk categories ,e.g. motorcyclists
- Office retail giant achieved productivity benefits of ~ US$1.5 MM & uncovered dead inventory worth ~ $70 MM through inventory optimization analytics
- An IT company leveraged predictive models to recognize months before their competitors, impact of sales during recession – took pre-emptive action on products and prices
- A global hotel chain uses customer analytics to identify most profitable customers through its loyalty program. It also employs analytics for revenue optimization
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