HELPING OUR CLIENTS ACHIEVE MAXIMUM AUDIENCE IMPACT.

Leading Data Management Platform (DMP)

More than 100+ clients spanning 5 Continents

80+ Employees based in NYC, MD, London, Boston, Atlanta and Singapore

UNITED STATES

MEXICO

CANADA

COLOMBIA

ARGENTINA

FRANCE

NETHERLANDS

INDIA

AUSTRALIA

UNITED KINGDOM

SINGAPORE

SPAIN

About Lotame

“Publishers and marketers are aggregating

more data, from more sources, than ever

before. And in order to realize the full value of

that information, they require a technology-

driven solution — a central hub— to

seamlessly (and rapidly) collect, integrate,

manage and activate those large volumes of

data.”

Winterberry Group

Solving The Big Data Challenge for Publishers and Marketers

COLLECT• Web Data• Mobile Data• Set Top Data• CRM Data

ORGANIZE• Data into default and custom hierarchies• Easily managed in folder structure

ACTIVATE• Deliver targeted ad campaigns and marketing promotions• Dynamically serve content based on audience segment• Generate advanced audience analytics

THE MOST POWERFUL AUDIENCE MANAGEMENT ENGINE

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Create optimized audiences using a sophisticated, verified, machine learning system to maximize audience impact

Lotame Optimizer

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Powered by

Lotame Optimizer: Workflow

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Data Collection:User interactions available to

Optimizer in real-time

Training:Advanced machined learning techniques

used to train models in real-timeScoring:

Users scored into optimized segments every 24 hrs

Lotame Optimizer Use Cases: Reach Extension

500M Uniques: Very Similar to seed

Seed:200M

Unqiues

1B Uniques: Somewhat Similar to seed

~2B Uniques: Potential Reach

Use advanced look-alike models to increase reach of an audience

Lotame Optimizer Use Cases: Campaign Optimization

Use advanced act-alike models to identify users with high probability to perform campaign KPI

Users Exposed to campaign

Users Exposed & Clicked / Converted / Viewed Through etc

Users with high probability of Clicking / Converting / View Through IF exposed to campaign

Lotame Optimizer Use Cases: Conversion Optimization

Identify users with high probability of converting using users from multi-channel

conversion funnels as seed

Potential Converters

TrueConverters

Lotame Optimizer Case Studies: Campaign Performance Improvement

A premium Lotame customer ran a CTR

driven campaign for a local bank.

Campaign ran for over a month; Optimizer

applied to campaign from week 2

Results:

Powerful models created within a week with as little as 300 clicks in a 30 day period.

Significant improvements seen in performance

Reduced ad wastage: 19 % points improvement in CTR observed with 1/3rd delivered impressions

Before Optimizer After Optimizer0

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Lotame Optimizer Case Studies: Reach Extension

A premium marketer with access to offline

registration data from CRM system on loyal

consumers wanted to target them online,

at scale

Marketer had ~30% match rate onboarding

offline data online

Lotame applied Reach Extension models on

the seed audience to find look-alike

consumers

Results:

Optimizer was able to find 3 times users who look similar to seed audience

Marketer was able to target these look-alike users across multiple activation channels

Objective: • Improve campaign performance by increasing click through rates and

optimizing ad spend for an existing online consumer telecom campaign.

Solution: • Score users in 1st and 3rd party datasets based on their past behavioral

patterns and their likelihood to click on the ad. • Create audience segments using precision targeting to focus

exclusively on the highest scoring audience members who are highly likely to click.

Results:• Exclusively targeting audience members who scored in the top:

– 37% - resulted in a demonstrated CTR lift of of 77% – 26% resulted in a demonstrated CTR lift of over 90%

Lotame Optimizer Consumer Telecom – 77 to 97% CTR Lift

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Currently working on POCs to support

Content personalization to show relevant content to users via predictive modeling based on their content

affiliation, interests, demographics etc

Predictive analysis on life stage of a customer pertaining to a product lifecycle via advance modeling at product

SKU level

Recommendation engines to show relevant messages across devices

Lotame Optimizer: Some use cases in R&D