Transcript
Page 1: Merkle CRM Executive Summit 2011

is your audience frustrated?

Mike Talbot, President, Alterian

“Dear #[brand], thanks for the low rate, but pls stop sending me emails!

I became a customer yesterday & have already heard from you 8 times.”

RY

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HOW RELEVANT ARE YOU?

Engagement Metrics

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Examined 27 Brands at The

Merkle CRM 2.0 Executive

Summit for Relevance of

Marketing Messages

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Evaluated Brands

on Two Dimensions

Popularity

&

Relevance

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Popularity = Activity on Social

Media + Alexa Website Rating

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Relevance = measure of how

consumers view your

marketing messages

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Social Media data was

collected from the 2010

holiday season

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Conversations were collected

across 3 Areas of messaging:

Social Media

Email

Direct Mail

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Both Relevance and

Popularity were indexed

against all Brands being

examined

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So How Do You Rate?

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Which Bubble Are You?

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Want to up your game?

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Let’s Talk Relevance = Merkle + Alterian

Email: [email protected]

Twitter: @mike_talbot

Web: engagingtimes.com

alterian.com

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Appendix

Index Methodology

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Index Methodology

• Created 2 Indices – Popularity

– Relevance

• Evaluated 27 companies

• Collected data from November and December

2010 – A total of 1.5 million conversations

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Popularity Index

• Popularity is a weighted measure of activity for brands in

3 areas

– Twitter Activity (Tweets and Followers) weighted at 25%

– Facebook Activity (Likes and Posts) weighted at 25%

– Alexa US Popularity Rating weighted at 50%

• Each brand was measured in each area to come up with

a ranking score and then weighted.

• The sums of the weights were then indexed to a 100-

based index

– i.e. A score of 100 = average

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Relevance Index

• Relevance is a weighted measure based on marketing

messaging in 3 channels

– Social Media

– Email

– Direct Mail

• Searches were set up in SM2 to find consumer

conversations about relevance of messaging in each

channel

• Then the results were evaluated for conversations

reflecting the Brands being studied

• The total number of conversations for each Brand was

also collected

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Relevance Index

• Conversations were collected about each channel:

– Social 562,456 (38%)

– Email 791,443 (53%)

– Direct Mail 127,634 (9%)

• In each channel we calculated percent of the brands

conversations that were considered not relevant, bad,

spam, etc

• We then rated each brand from best to worse in each

channel

• The ratings were then weighted based on percent of

conversations in channel

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Relevance Index

• The Relevance Score is the sum of the weighted values

for each brand in each channel

• This score was then indexed for all brands to a 100

based index

– i.e. index of 100 = average brand


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