3. In God we trust. All others must bring data. W. Edwards Deming
4. In God we trust. All others must bring data. W. Edwards Deming There is no âdataâ confirming that Deming actually said this.
5. â 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 âdataâ confirming Deming actually said this.â The Elements of Statistical Learning, 2 nd Edition, Preface Hastie, Tibshirani, Friedmand
6. â 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 âdataâ confirming Deming actually said this.â The Elements of Statistical Learning, 2 nd Edition, Preface Hastie, Tibshirani, Friedmand Beware rules of thumb. Data reveals the truth.
15. Insight #3 Hashtag Stuffing Doesnât Work Donât target content to hashtags. Target hashtags to content when relevant.
16. Balanced Curation Drives Conversions Promoters: link to their own site more than 50% of the time. 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.
17. Balanced Curation Drives Conversions Promoters: link to their own site more than 50% of the time. 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. Over-curating is ineffective. Over-promoting isnât as ineffective as you might think.
18.
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.
20.
21.
22.
23. Measuring Interest: Clicks Metrics in Action Increase in clicks is driven by increase posting frequency Increase in clicks is driven by more engaging content Decrease in clicks is driven by less engaging content Decrease in posts is drive by fewer postsâeasy to fix! Clicks Posts Clicks per Post Which is better? Which is worse?
24.
25.
Hinweis der Redaktion
Eric doing the intro.
Eric doing the intro.
Intro slide â Eric frames the presentation. Examples of insights that weâve gathered from customer data that might change the way you manage socialâŠand 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 â Eric frames the presentation. Examples of insights that weâve gathered from customer data that might change the way you manage socialâŠand 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 â Eric frames the presentation. Examples of insights that weâve gathered from customer data that might change the way you manage socialâŠand 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 â Eric frames the presentation. Examples of insights that weâve gathered from customer data that might change the way you manage socialâŠand 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 â explain context of the data. Jason â 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 â explain context of the data. Jason â 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 â explain the graph. Jason â 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 arenât scheduling posts with a strong call-to-action - Followers are less responsive to âplannedâ content. - Time-sensitive call-to-action is compelling
Eric â explain the graph. Jason â 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 arenât scheduling posts with a strong call-to-action - Followers are less responsive to âplannedâ content. - Time-sensitive call-to-action is compelling
Eric â explain slide. Jason â commentary: Data suggests that posts with hashtags rarely outperform posts without hashtags. Scenarios that work: - Moderately sized, well-targeted conferences â SocialFreshâŠnot SXSW - Charitable causes - Highly engaged groups and chats Scenarios that donât work: - Huge conferences - Generic tags - Trending topic spam Remember that your followers are your primary source of attention.
Eric â explain slide. Jason â commentary: Data suggests that posts with hashtags rarely outperform posts without hashtags. Scenarios that work: - Moderately sized, well-targeted conferences â SocialFreshâŠnot SXSW - Charitable causes - Highly engaged groups and chats Scenarios that donât work: - Huge conferences - Generic tags - Trending topic spam Remember that your followers are your primary source of attention.
Eric - Weâve walked through a few examples that illustrate how data can drive social media marketing performance and â more importantly â marketing decisions. But weâre just talking about aggregates. The story gets more interesting when you start to look at your data in a similar fashion.
Eric - Weâve walked through a few examples that illustrate how data can drive social media marketing performance and â more importantly â marketing decisions. But weâre just talking about aggregates. The story gets more interesting when you start to look at your data in a similar fashion.
Eric - Social media marketing is a specialized version of marketing. Marketing is a business function. Business functions to drive outcomes. So by the transitive property you learned in 7 th grade algebra, social media marketing is ultimately about driving business outcomes. Jason - Every step is measurable. You canât optimize a two-step process - by breaking your social audience into segments, you can more easily move people down the funnel and measure your efforts.
Eric â audience size is the obvious place to start, but follower counts are often a polarizing metric. Jason â commentary re: follower counts, importance of quality, ratios as a smart way to normalize and benchmark follower data.