This document discusses social data and how it can be used for marketing and growth purposes. It defines social data as data that individuals voluntarily share on social media, including metadata, links, comments, etc. The document outlines key traits of social data like its unstructured nature and high volume. It then provides examples of how social data can be used, including understanding audiences, identifying influencers, competitive benchmarking, and improving marketing campaigns. Finally, it discusses tools for analyzing social data and tactics for intelligently targeting audiences on platforms like Facebook and Twitter.
1. 1
What the heck is Social Data?
Shilpi Agarwalshilpi@socialstrategi.com @shilpiagarwal01
2. 2 About Me: Social Data Girl
Shilpi Agarwal is a Social Data
Growth Evangelist and Founder of
Social Strategi.
She believes:
Social (Media + Data + Good) =
Growth
3. 3 Social Strategi provides managed Growth Solution
What we do:
We manage Paid Campaigns for
our Clients.
We harness the power of Social
Data Intelligence to niche target
the right audience to yield 10X
higher than average ROI for Ad
Campaigns.
4. Too much Data
01
Mining Challenge
02
Pay for Data
03
Invest in Tools
04
Data Scientists
05
Abundance
Data is easily available, but the
problem is that there’s just too
much data to digest.
Usage
Yes, Data is available but how
much data should you buy?
Expensive
Data Tools are expensive.
Some tools cost as much as
$70K/ year.
Expertise
To decipher data, you need to
hire in house data scienEsts.
Insights
What Data should you pay
aGenEon to, what insights can
impact your business?
Problem Social Strategi is trying to solve
9. Definition of Social Data
Social Data refers to data that individuals create that is knowingly
And voluntarily shared by them.
Source: Wikipedia
10. Definition of Social Data
Information that Social Media users publicly share: that includes
Metadata such as User’s geographical location, language spoken,
Biographical data, shared links, etc.
Source: Investopedia
12. 12 Traits of Social Data
1. Social Data is mostly unstructured.
2. It is highly diverse in nature – comments, likes, emoEcons,
images, video, links, photographs.
3. Social Data is real Eme data.
4. It is extremely high in volume.
5. Social data is typically stored in third party databases in semi
structured and unstructured formats.
6. Social Data is unwieldy.
7. Social Data mining requires expensive tools and experEse.
29. 29
Applications
Used to Tweet by your Audience
1. TwiGer Web Client
2. TwiGer for Android
3. TwiGer for iPhone
4. Instagram
5. iOS
6. TweetDeck
7. Facebook
8. TwiGer for iPad
9. TwiGer for Mac
10. Mobile Web
30. 30
Your Audience Geolocation Heat Map
$17M
$M
1. London
2. New York
3. San Francisco
4. Bangalore
5. Paris
6. India
7. USA
8. UK
9. Sao Paulo
10. Madrid
31. How can you Leverage Audience Insights
For Market Research & Growth?
33. 33
Use Case 1: Managing Brand Reputation
Brand ReputaEon
• Who is talking about
their Brand
• Everyone who’s
talking about a
parEcular #hashtag or
keyword
• Individual Authors
talking about it
• Demographics
• SenEment
• Their Top Interests
• Top Professions
• Geographical
34. 34
Use Case 2: Competitive Benchmarking
CompeEtor
Benchmarking
• Share of Voice
• Key CompeEtors
• Top Sites
• Top Authors
• Topics of
ConversaEon
35. 35
Use Case 3: Understanding Purchase Intent
Purchase Intent
• Who is more
likely to purchase
• Who is happy
with the service
• Who isn’t happy
• What parEcular
aspect of the
service the
Customer is
unhappy or happy
about.
36. 36
Use Case 4: Lean Product Development
Product Development
• Social Data can help
surface conversaEons
around Product and
Product Category.
• By Categorizing these
ConversaEons, you can
learn a lot about
Product Features,
SenEments and
Audience
Demographics.
37. 37
Use Case 5: Social Selling
Social Selling
• Social Data can help
you idenEfy the right
people at the right
Eme and place to
target your products
and services to,
creaEng opEmal selling
opportuniEes.
• You can even use Social
Data to steal your
CompeEtor’s Clients.
38. 38
Use Case 6: Identifying Trends
IdenEfying Trends
• Trending Topics
• Trending
ConversaEons
• Hot Products
• IdenEfying White
Space Products
• Finding New
Market
OpportuniEes.
39. 39
Use Case 7: Influencer Discovery
Influencer Discovery
• Influencers can
help you spread
your word without
spending on Ads
and people trust
them more.
• They can be great
Brand Advocates.
40. 40
Use Case 8: Social Customer Care
Social Customer Care
• Set up Social Data
Listening so you
receive noEficaEons
when someone
menEons your
Brand or your
CompeEtors and
then respond in a
Emely manner.
41. 41
Use Case 9: Social Recruiting
Social RecruiEng
• Use Social Data
Intelligence to go
beyond the
Resume and
understand a
beGer fit between
the person and
your Company.
42. 42
Use Case 10: Better Campaign Management
Campaign
Management
• Understand your
Audience
• Intelligently Target
Niche Audiences
• Combine owned data
– CRM, web, email
with social data to
reach your ideal
Customers.
48. 48 Types of Facebook Ad Placements
Ad Placements
• Desktop News Feed
• Mobile News Feed
• Right Column
• Instagram
49. 49 Most Important Elements of a Facebook Ad
Desktop News Feed
1. Social InformaEon –
have your friends
engaged with this
Business?
2. Business Name
3. Ad Copy – Punch line
4. Visual Interest –
Photos & Videos
5. CTA – Call to AcEon
61. 61
Types of Twitter Keyword Matching
You have four opEons for the type of keyword matching you would like performed:
• Broad Match: Your ad will appear when the keyword phrase appears in any order, and the
system will match your ad with related terms, misspelling, and known slang.
• Phrase Match: Your ad will be matched with tweets that contain the exact keyword phrase
in the exact order as you type it.
• NegaWve unordered match: You can indicate that TwiGer should avoid matching with a
specific negaEve keyword that appears in any order.
• NegaWve Phrase Match: You can select a keyword phrase that is ineligible for matching if
found in a specific order.