InfographICK: the Sick Pick Collection

As a follow-up to my blog titled "Time to Diagnose and Cure InfographICK" over at The Digital Nirvana, I promised TDN readers examples of infographics that need help. To find samples, I entered the hashtag #infographic in TweetDeck and the ooze flowed. 

1. This one hurts because I love Zipcar even if Avis did buy them (sob!) -- but, honest guys, WTHeck is this?

2. Infographics are supposed to be graphic, so they should be at least partially understood in any language, right? Uh... maybe not.

3. Okay, I don't really hate this one… I just don't like it. I'd rather read the article.

4. Speaking of which, WHY is this an infogrpahic and not a bulleted list?

5. If I tell myself this isn't an infographic, I like it. 

6. Yeah, yeah. the Internet is BIG. And your point is?

7. This one isn't too bad. Why? Because it's really an article with clip art (remember clip art?) 

8. This is interactive and has the potential to be awesome, cool, fantastic. Except .. what? Unintelligible? 

9. Not a bad idea, just a terrible font in all caps. Bad. 

10. This, truly, is the darkest of the dark. Plus I have NO idea what it means. 

11. Just to prove I'm not a total curmudgeon, this one I like. It makes sense! You can get it in one glance. It's what infographics are supposed to do.. Well, yeah. It's Wired. But like we said: Quality infographics are difficult to do and, therefore, cost $$$$.

12. Short enough to be decent. Hurray. No long snake, garbble-gook here.

13. And here's another good one: colorful, quick, to the point ..plus the designer had the good sense to get out of the way and let these logos stand on their own. 

14. Feels right: appropriate colors, nice font, quick presentation, good pointers. 


-- scrubbed by MarketingBrillo

Ways Customer Data Helps Customer Retention

No doubt, data is key to customer acquisition.

But data should be applied to customer retention, too.

When Loyalty360 surveyed 129 executives, here's what respondents said about how data ups the retention factor.

1. Assists with campaign segmentation by identifying groups of customers with similar interests.

2. Triggers 1:1 communications, by effectuating personalized emial campaigns.

3. Builds predictive analytic models that help extract information form the collective experience of a company's customer base and use the data to predict trends, propensities, and behavior.

4. Helps to understand customer attitude and behavior, thus enhancing customer engagement.

5. Helps identify brand affinity.

6. Promotes product propensity and the ability to identify additional products the customer is likely to purchase.

7. Pinpoints channel preference.

Overall, Making Every Interaction Count: How Customer Intelligence Drives Customer Loyalty found that taking action based on the customer intelligence gained from mining and analyzing data yields bottomline results: 54.3% of respondents reported increased spend by loyalty members (54.3%)

Source: Making Every Interation Count, Joint paper of Acxiom and Loyalty360
Download the full paper here.