Cartesian Insights Retail January 2014
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Transcript of Cartesian Insights Retail January 2014
![Page 1: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/1.jpg)
5 things we’ve learned doing analytics for Retailers
Cartesian Consulting
www.cartesianconsulting.com
![Page 2: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/2.jpg)
1. You cannot overemphasize the importance of contactable
information• Typical email capture rates for retailers with loyalty
programs = 55% (mobile > 95%)
• Some go as high as 75% Email capture, some as low as 20% Email capture
• Email response rates 60% higher than SMS response rates for most campaigns, Email + SMS an even more powerful combination
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Leaderboards help improve the quality of data capture
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2. Profile information is often overrated as a predictor
(the crime is the extent of inaction it leads to)
• Behavioral attributes beat profile often
• Similar profiles have wide variance in behaviors, similar behaviors have less variance in profiles
• Those that have attempted to capture profile information have not put it to use
![Page 5: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/5.jpg)
• Age is often low contribution
• Occupation pretty much never pops up
• Even mobile operator is usually weak
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3. Traceable cross-brand customers are FEWER THAN YOU THINK
• Between complementary brands databases in the online space: 11%
• Between online + offline retail complementary: 8%
• Between complementary brands of a multi-brand group: 8%
• The yield from dedupe algorithms has a similar story
![Page 7: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/7.jpg)
4. Most of the hurdles are deeper than smart analytics and IT
• Most marketing folks think brand and campaign they just do not think Models, Segments, contact optimization
• Most marketing folks will over-ride analytical outputs with gut feel no matter how compelling the evidence
• Most marketing folks don’t have the KRAs that would compel them to think data
![Page 8: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/8.jpg)
Some marketers will insist on marketing to customers who refuse to respond
Redemption Campaign% Responded
% Control % Target
HIGH VALUE-DISCOUNT SEEKERS 1% 5%
STARS 5% 12%
PRODUCT A ORIENTED 1% 2%
NON-DISCOUNT SEEKERS 2% 4%
PRODUCT B ORIENTED 2% 2%
LOW VALUE-DISCOUNT SEEKERS 0% 5%
BOUNCE 0% 0%
ACTIVE 0% 0%
NEW 0% 0%
Overall 1% 3%
![Page 9: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/9.jpg)
5. A COE is doomed to under-service many
• Hard to pull off till you have a history of using analytics, and a culture that can attract and retain talent
• Many marketers find it hard to get any joy out of a COE sitting somewhere remote
• They need hands on, flexible, proactive and involved operations
• They’re not good with briefing analysts in detail… the analyst needs to “get it” and be willing to iterate, often
![Page 10: Cartesian Insights Retail January 2014](https://reader036.fdocuments.net/reader036/viewer/2022080213/559f75911a28abfb718b4802/html5/thumbnails/10.jpg)
6. (Bonus point) If you don’t contact-optimize, you will suffer
• There is a number of outreaches in a month beyond which people will switch off from your communication
• Your deliverability on Email is highly dependent on following best practices
• The short term gains are just not worth it