Gen AI in Business - Global Trends Report 2024.pdf
Personagraph presentation
1.
2. 2
Personagraph
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Informa0on
Company Facts
• Founded in June 2012 in Sunnyvale, CA
• Backed by Intertrust, a trusted computing company
with over 20 years of experience bringing complex
technologies to market
• Currently have 30 employees
• Strong Data Science & Machine Learning expertise
• Product launched in July 2013
3. 3
Personagraph
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What is Personagraph?
A user understanding platform that integrates with mobile apps via SDK
Our technology enables you to understand who your mobile app users are, what
they do, and how they interact with your competitors.
• Data is collected from the app using multiple sources including location, apps, clicks,
accelerometer, and social media
• Personagraph enriches your current customer understanding
• The end user can maintain control of what information is collected
• The platform enables dynamic use cases in areas such as marketing, location-based
inferences, and detailed analytics/trends
4. 4
Personagraph
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Informa0on
• Custom click events (all types)
• Contextual data around clicks
• Detailed descriptive analytics on how users use
your application
• Descriptive analytics overlaid with customer
segmentation provides unique actionable insights
• Derive intents for certain user actions
• Facebook token to read some data
from Facebook
• Both structured and unstructured
• Accurately infer user interests + demographics
• Process both structured and unstructured data to
generate inferences
• Locations that the user visits and the
metadata associated with these
locations
• Only collect data when we identify that
a user is spending time at a location
(battery optimized)
• Infer user interests + demographics
• Identify location patterns and trends (ex. user typically
goes grocery shopping on Thursdays after work)
• Analysis on how often users visit competitor locations
and the time they spend there
Data Collection & Value
Apps
Signal type What do we collect? Value
• List of apps that are running and
installed on the users device
• Time-based data collection is
configurable by the partner
• Accurately infer user interests and demographics
• Analyze how users interact with competitor apps
Location
Social
Clicks +
Context
5. 5
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Personagraph Data
• Action Games
• Adventure Games
• Antiques & Collectibles
• Arcade Games
• Automotive
• Beauty
• Board Games
• Business / Finance
• Camera / Photo
• Card Games
• Casino Games
• Computer Games
• Consumer Electronics
• Cooking
• Deals
• Dice Games
• Education
• Fashion
• Fitness
• Food / Grocery
• Games & Toys
• Gardening
• Health
• Health / Medical / Pharmacy
• Magazines
• Movies
• Music
• News
• Outdoor Activities
• Parenting
• Pets
• Politics
• Pregnancy
• Puzzle Games
• Reading
• Real Estate
• Religion
• Restaurants/Cafes
• Role-Playing Games
• Self Help
• Shopping & Retail
• Simulation Games
• Social Networking
• Software
• Sports
• Sports Games
• Tours & Sightseeing
• Travel
• Travel / Leisure
• Trivia Games
• TV shows
• Weight Loss
• Wine & Spirits
Demographics
Interests
Age Marital Status ChildrenGender Home Owner Income
8. 8
Personagraph
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• Individual user profile on-demand
• Batch set of user profiles with a filter criteria
Retrieve user profiles in several ways with our APIs
APIs for Real-Time Personalization
• Cumulative distribution of inferences
• Demographics of the users
• Age, Marital Status, Family Status, Life Stage, Gender, Household Wealth
• Interests inferred for the users
• Interest 1, Interest 2, Interest 3, etc.
11. 11
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Ad Exchange Integration
App/PG
SDK
Ad request Targeted mobile ad
PG Ads
Enriched ad request
(Interests, Demographics,
Device)
Targeted mobile ad
Targeted mobile ad
Ad Exchange(s)
$
Highest bid
Advertisers
DSP1
Bid $
DSP2
Bid $
DSP3
Bid $
DSP4
Bid $
$
Highest bid
$
Floor price
12. 12
Personagraph
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Personalize Home Page Prioritize Content Competitive Analysis
Marketing Use Cases
13. 13
Personagraph
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Understand users
across apps
Targeted
engagement using
app notifications
Create look-alike
models for most
valuable customers
Profiles for
unregistered
app users
Integrate profiles
with existing user
data
Marketing Use Cases
14. 14
Personagraph
Confiden0al
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Location Use Cases
Competitive Analysis
Showrooming
Home/Work/Gym/
Retail in relation to app
usage
15. 15
Personagraph
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Informa0on
• Understand how life stages
affect app usage
User profiles build/change over time
• How demographics & interests
influence in-app behavior
• Determine regional interests and
why some users differ
• Learn what unites users outside
of app usage
Analytics/Trends Use Cases
