The document discusses next generation audience targeting for an app with 400 million downloads. It currently uses demographic and interest-based filters for targeting, and launched targeted audiences in early 2019. Key customer sectors are analyzed including their target demographics. New feature ideas are presented such as creating demographics from watch patterns, using Facebook login data, and providing insights reporting. Other ideas include carousels, A/B testing, and scraping 3rd party data.
2. Current Scenario – Key Points
400 mn downloads for the App
75% traffic from mobile, 25% from web
Targeted Audiences Launched in Early 2019
High cost-effective ads with 80% completion rate and 5-10% CTR
3. Current Demographic Targeting
• Gender / Age filters
• Interest Based filters :
• Auto enthusiasts, Beauty buffs,
Carpoolers, etc.
• Language / Location Filters
• Device price range filters
• Custom Audiences
5. Key Customer Sectors
Looking at various sectors and the corresponding customer demographic
User personas needed for ad campaigns
6. Industry : Food + Drinks Vendor
Promotion / types of ads :
Run contests
Share User Comment
Targeted Deals (Birthdays / Anniversaries / Sports events)
Promoting new restaurant openings
User Personas to target :
Living away from hometown
New jobs
Students
Foodies (already part of the platform)
Living near a new restaurant (hyper local)
Late Night users of the platform
7. Industry : Tourism and Hotels
Promotions / types of ads :
Promoting events and deals
Run contests
Share User Reviews
Targeted Deals (Birthdays / Anniversaries / Seasonal)
User personas to target :
Travelers (Already part of the platform)
Abroad travelers
User Events (Birthdays / Anniversaries)
Travel show viewers
People who watch from different cities
8. Industry: Political Parties
Promotions / types of ads :
Campaign ads
Congratulatory posts on
milestones
User personas to target :
Localised ads (Already part of
the platform)
Language specific ads
Combination filters Political
inclination (Liberal /
Conservative)
Education Qualification
9. Industry : Telecom
Promotions / types of ads :
Promoting deals
New Initiatives / plans
Special travel plans
User personas to target :
Abroad travelers
Location targeting
Language specific targeting
Purchase history (mobile phones)
10. Industry : TV Series and Movies
Promotions / types of ads (Internal and
External) :
Film Releases
New Shows
User personas to target :
Genre Profile
Casual Watchers / Binge Watchers
Genre Similarity with the current
content
11. Industry : Sports
Promotions / types of ads :
Pre-tournament ads
Target ads based on match results
User personas to target :
Sports affinity
Rule Result based advertisements
13. New Feature Ideas
Demographic creation from watch patterns
Demographic data from Facebook Login
Reporting with Intelligent Insights
Other misc. ideas
14. Watch patterns
Late Night Watchers / Early risers
Bollywood / Hollywood / Kollywood affinity
Genre affinity – Action / Comedy / Romantic / Horror
Cricket / Football / Kabbadi fans
Students (Based on Location data)
Travelers – Frequent Location change
News affinity - Political affiliation
Interests based on Documentaries – Travel, History, Arts, Tech, etc.
15. Facebook Login API attributes
Likes (user_likes)
Hobbies : Music, Arts
Games
Books
Fitness interests
Tech Enthusiasts
Hometown (user_hometown)
User Birthday (user_birthday)
16. Insights Dashboard
Overview Dashboard for all campaigns
Total Impressions
Total Money spent
Demographics and Interests (Total and Per User)
CTA
Money Spent
Watch time for ads
Location
Language
17. Other misc. ideas
Carousel for display ads
A/B tests to test performance / messaging
3rd party data companies for twitter and linkedin scraping (fullcontact.com)