3. In God we trust. All
others must bring
data.
W. Edwards Deming
@argylesocial
4. In God we trust. All
others must bring
data.
W. Edwards Deming
There is no “data” confirming
that Deming actually said this.
@argylesocial
5. “On the web, (this quote) has been widely attributed
to Deming and Robert W. Hayden; however Prof.
Hayden told us that he can claim no credit for this
quote, and ironically we could find no ‘data’
confirming Deming actually said this.”
The Elements of Statistical
Learning, 2nd Edition, Preface
Hastie, Tibshirani, Friedmand
@argylesocial
6. “On the web, (this quote) has been widely attributed
to Deming and Robert W. Hayden; however Prof.
Hayden told us that he can claim no credit for this
quote, and ironically we could find no ‘data’
Beware rules of thumb.
confirming Deming actually said this.”
Data reveals the truth.
The Elements of Statistical
nd
Learning, 2 Edition, Preface
Hastie, Tibshirani, Friedmand
@argylesocial
7. A Delicious Slice of Argyle User Data
• Aggregated and anonymous
• December 2010 through May 2011
• 70k+ posts
• 381 organizations; all industries, all sizes
@argylesocial
8. Definitions
• Post: a single piece of content published via
Argyle Social.
• Click: a redirection from an Argyle short URL,
published via Argyle Social.
• Conversion: direct or indirect completion of
an Argyle Goal as a result of a click on a post
published via Argyle Social.
@argylesocial
9. Conversions?
• Social Media Marketing = Marketing
• Marketing = Driven By Outcomes
• If A=B & B=C, then A=C.
@argylesocial
14. Insight #3
Hashtag Stuffing Doesn’t Work
How Effective are Posts with Relative Performance of Hashtag vs Non-
Hashtags? Hashtag Posts
25
# of Twiter Accounts
20
26%
15
53%
21% 10
5
Posts with Hashtags Underperform 0
-70% -30% 10% 50% 90%
No Significant Difference
Posts with Hashtags Outperform Performance Increase (Decrease) of Posts with Hashtags
@argylesocial
15. Insight #3
Hashtag Stuffing Doesn’t Work
How Effective are Posts with Relative Performance of Hashtag vs Non-
Hashtags? Hashtag Posts
25
# of Twiter Accounts
Don’t target content to hashtags.
20
26%
15
Target hashtags to content when relevant.
53%
21% 10
5
Posts with Hashtags Underperform 0
-70% -30% 10% 50% 90%
No Significant Difference
Posts with Hashtags Outperform Performance Increase (Decrease) of Posts with Hashtags
@argylesocial
16. Balanced Curation Drives Conversions
Sample
Promoters: link to their own site more than 50% of the time. Breakdown
Balanced: link to their own site between 25% and 50% of the time.
Curators: link to their own site less than 25% of the time.
Clicks Per Post Click To Conversion Post Conversion Rate
Promoters Promoters Promoters
Balanced Balanced Balanced
Curators Curators Curators
0 20 40 60 0.0% 1.0% 2.0% 3.0% 0.0% 50.0% 100.0% 150.0%
@argylesocial
17. Balanced Curation Drives Conversions
Sample
Promoters: link to their own site more than 50% of the time. Breakdown
Balanced: link to their own site between 25% and 50% of the time.
Curators: link to their own site less than 25% of the time.
Clicks Per Post Click To Conversion Post Conversion Rate
Over-curating is ineffective.
Over-promoting isn’t as
Promoters Promoters Promoters
Balanced
ineffective as you might think.
Balanced Balanced
Curators Curators Curators
0 20 40 60 0.0% 1.0% 2.0% 3.0% 0.0% 50.0% 100.0% 150.0%
@argylesocial
18. Do or do not. There is no try.
~Albus Dumbledore
Slides at ar.gy/socialmediaplus
Thank you very much.
Eric Boggs
@ericboggs
http://argylesocial.com
@argylesocial
19. A Brief Aside Re: Conversions
Two Types of Marketing Channels
Intent Generating channels build consumer
awareness and interest, creating an intention
to purchase a product.
Intent Harvesting channels capture
consumer intent to purchase and drive them to
the cash register.
Two Types of Conversion Tracking
Multi-touch tracking attributes revenue to all
of the channels that touched the consumer on
their path through the funnel.
Last-touch tracking attributes all of the
revenue for a purchase to the last channel that
touched the customer prior to the sale.
@argylesocial
Editor's Notes
Eric doing the intro.
Eric doing the intro.
Intro slide – Eric frames the presentation.Examples of insights that we’ve gathered from customer data that might change the way you manage social…and as a prelude to a conversation to how you can use data from your own social media marketing efforts to make smarter marketing decisions.
Intro slide – Eric frames the presentation.Examples of insights that we’ve gathered from customer data that might change the way you manage social…and as a prelude to a conversation to how you can use data from your own social media marketing efforts to make smarter marketing decisions.
Intro slide – Eric frames the presentation.Examples of insights that we’ve gathered from customer data that might change the way you manage social…and as a prelude to a conversation to how you can use data from your own social media marketing efforts to make smarter marketing decisions.
Intro slide – Eric frames the presentation.Examples of insights that we’ve gathered from customer data that might change the way you manage social…and as a prelude to a conversation to how you can use data from your own social media marketing efforts to make smarter marketing decisions.
Eric quickly explains the data source for the next few slides.
Eric – explain context of the data.Jason – suggest the action: use a service to automate posts via RSS. (Note: most RSS posts publish immediately, are not scheduled. Might need to delineate in the next slide.) if possible, schedule homegrown content to post multiple times. consider publishing content from other RSS feeds, can filter by tag or category.
Eric – explain context of the data.Jason – suggest the action: use a service to automate posts via RSS. (Note: most RSS posts publish immediately, are not scheduled. Might need to delineate in the next slide.) if possible, schedule homegrown content to post multiple times. consider publishing content from other RSS feeds, can filter by tag or category.
Eric – explain the graph.Jason – explain the takeaways:Timeliness premium when it comes to transactions. The further into the future Argyle users scheduled posts, the less influence the posts had on revenue.Suggests a few things:- Marketers aren’t scheduling posts with a strong call-to-action- Followers are less responsive to “planned” content.- Time-sensitive call-to-action is compelling
Eric – explain the graph.Jason – explain the takeaways:Timeliness premium when it comes to transactions. The further into the future Argyle users scheduled posts, the less influence the posts had on revenue.Suggests a few things:- Marketers aren’t scheduling posts with a strong call-to-action- Followers are less responsive to “planned” content.- Time-sensitive call-to-action is compelling
Eric – explain slide.Jason – commentary:Data suggests that posts with hashtags rarely outperform posts without hashtags.Scenarios that work:- Moderately sized, well-targeted conferences – SocialFresh…not SXSW- Charitable causes- Highly engaged groups and chatsScenarios that don’t work:- Huge conferences- Generic tags- Trending topic spamRemember that your followers are your primary source of attention.
Eric – explain slide.Jason – commentary:Data suggests that posts with hashtags rarely outperform posts without hashtags.Scenarios that work:- Moderately sized, well-targeted conferences – SocialFresh…not SXSW- Charitable causes- Highly engaged groups and chatsScenarios that don’t work:- Huge conferences- Generic tags- Trending topic spamRemember that your followers are your primary source of attention.
Eric - We’ve walked through a few examples that illustrate how data can drive social media marketing performance and – more importantly – marketing decisions. But we’re just talking about aggregates. The story gets more interesting when you start to look at your data in a similar fashion.