Your SlideShare is downloading. ×
  • Like
Maximizing Social Influence: A Case Study (or, GlassesA A Love Story
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×

Now you can save presentations on your phone or tablet

Available for both IPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Maximizing Social Influence: A Case Study (or, GlassesA A Love Story

  • 1,677 views
Published

You know you have to pay attention to your advocates…and to bloggers…AND to high-social-score-wielding “Influencers.” But how do you put all of that together into an influencer outreach or marketing …

You know you have to pay attention to your advocates…and to bloggers…AND to high-social-score-wielding “Influencers.” But how do you put all of that together into an influencer outreach or marketing program that really works? The answer is surprisingly simple. Once you know how to score the effect different types of influencers have on your business, you’ll know how to shape outreach, incentive, and rewards programs that maximize your marketing efforts.

Takeaways
Using a real-world example, you’ll learn an easy model for how to characterize the four types of influencers, what benefits each group brings to your marketing efforts, and how to prioritize the groups based on budget, time, and effort.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
No Downloads

Views

Total Views
1,677
On SlideShare
0
From Embeds
0
Number of Embeds
5

Actions

Shares
Downloads
11
Comments
0
Likes
4

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. A Case Study for MaximizingInfluencer Outreach By: Tamsen Webster @tamadear
  • 2. A Love Story@tamadear
  • 3. “I want some new glasses.”@tamadear
  • 4. @tamadear
  • 5. @tamadear
  • 6. @tamadear
  • 7. @tamadear
  • 8. @tamadear
  • 9. @tamadear
  • 10. INFLUENCE@tamadear
  • 11. @tamadear
  • 12. Everyone’s@tamadear
  • 13. Factors • •@tamadear
  • 14. Broad Reaching Low Probability of High Action Probability of Action Personal Connection@tamadear
  • 15. Broad Reaching Low Catalysts Probability of High Action Probability of Action Personal Connection@tamadear
  • 16. Broad Reaching Low Publishers Catalysts Probability of High Action Probability of Action Personal Connection@tamadear
  • 17. Broad Reaching Low Publishers Catalysts Probability of High Action Probability of Action Advocates Personal Connection@tamadear
  • 18. Broad Reaching Low Publishers Catalysts Probability of High Action Probability of Action Advocates Activators Personal Connection@tamadear
  • 19. Catalysts • •@tamadear
  • 20. • •@tamadear
  • 21. • •@tamadear
  • 22. • •@tamadear
  • 23. @tamadear
  • 24. @tamadear
  • 25. @tamadear
  • 26. @tamadear
  • 27. @tamadear
  • 28. HIGH EFFORT HIGH COST HIGH RISK Publishers Catalysts LOW HIGH REWARD REWARD Advocates Activators LOW RISK LOW COST LOW EFFORT@tamadear
  • 29. @tamadear
  • 30. “I want some new glasses.” Prospect@tamadear
  • 31. “I want some new glasses.” Prospect Activator@tamadear
  • 32. Brand “I want some new glasses.” Prospect Activator@tamadear
  • 33. Brand “I want some new glasses.” Prospect Activator@tamadear
  • 34. @tamadear
  • 35. Brand “I want some new glasses.” Prospect Activator@tamadear
  • 36. @tamadear
  • 37. @tamadear
  • 38. @tamadear
  • 39. Brand “I want some new glasses.” Prospect Activator@tamadear
  • 40. @tamadear
  • 41. @tamadear
  • 42. Activators • • Publishers • • Advocates • •@tamadear
  • 43. @tamadear
  • 44. @tamadear
  • 45. Activators • • Publishers • • Advocates • • Catalysts • “ ” •@tamadear
  • 46. Broad Reaching Low Publishers Catalysts Probability of High Action Probability of Action Advocates Activators Personal Connection@tamadear
  • 47. Broad Reaching Low Publishers Catalysts Probability of High Action Probability of Action Advocates Activators Personal Connection@tamadear
  • 48. @tamadear