data driven content strategy and outreach
TRANSCRIPT
DATA DRIVEN CONTENT STRATEGY AND OUTREACH SMX Sydney 2014
Richard Baxter
Founder
@builtvisible
A typical content marketing project:
Social data touches our projects here
And here
And here
And here
A Really Targeted Creative Process:
Discovery Creative Planning
Stakeholder Recruitment
Production Launch
Social data touches our projects here
And here And here And here
Gwittr generates *awesome* stats and insights from individual Twitter feeds. Needs a lot of scraping.
Our Process
Refine results from
Follower
wonk
Gather followers
Order results by
Social Authority
Extract “Domains
shared”
Get the Intersect - Who do *your* followers tend to
follow? - Who do your competitor’s
followers tend to follow? - Who do those people tend to
follow?
Domains your audience share:
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Count of Follower Domains Average of DA
Top social channels shared by your followers:
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youtube.com twitter.com twitpic.com vimeo.com plus.google.com flickr.com linkedin.com
Amazing multiple link sources
Already Linking to Client
Linking to Competitor 1
Linking to Competitor 2
Mentioned in the twitter bio of
someone who follows Client
Mentioned in the twitter bio of
someone who follows Competitor 1
Mentioned in the twitter bio of
someone who follows Competitor 2
Sending referral traffic to competitor
Easy Win Tip #1
Gather all the twitter profiles that
follow your competitors
Cross reference that with who follows
you
Collate a list of who follows your
competitors, but not you
Tip: Find the most influential accounts followed by your followers with your keyword in the biography. Get them on the payroll.
Find the websites shared in the twitter data linking to your competitors but not you. Prioritise these prospects.
Find the domains which intersect these datasets:
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Sum of Number of Datasets site exists in Average of Referring Domains
Take a reputable publication:
http://www.theverge.com/longform