ADFOLKS D a t a M a n a g e m e n t P l a t f o r m a n d S e r - - PowerPoint PPT Presentation

adfolks
SMART_READER_LITE
LIVE PREVIEW

ADFOLKS D a t a M a n a g e m e n t P l a t f o r m a n d S e r - - PowerPoint PPT Presentation

ADFOLKS D a t a M a n a g e m e n t P l a t f o r m a n d S e r v i c e s Behaviorally targeted advertising is 27 times as effective as non-targeted advertising. ~ The Network Advertising Initiative The Value of Behavioral Targeting,


slide-1
SLIDE 1

D a t a M a n a g e m e n t P l a t f o r m a n d S e r v i c e s

ADFOLKS

slide-2
SLIDE 2

Behaviorally targeted advertising is

27 times as effective

as non-targeted advertising.

~ The Network Advertising Initiative The Value of Behavioral Targeting, Howard Beales

slide-3
SLIDE 3

QUESTIONS TO ASK YOURSELF

Which campaigns are working across various channels? Which audiences am I reaching and where? Which changes will make my campaigns more effective?

slide-4
SLIDE 4

What is a data management platform (DMP)?

Leverage

First- and third-party data

Glean

Insights to perfect audience segmentation

Gain

Visibility into cross-platform analytics and metrics

Analyze

Large datasets to make better media buying decisions

slide-5
SLIDE 5

Enterprise-class DMP can scale to billions of data points.

~ Data Management Platforms Demystified, BlueKai

slide-6
SLIDE 6

What a DMP can do for you

6

r

Retargeting

Easily implement customized retargeting campaigns based on specific activities and behaviors taken on or offline.

p

Prospecting

Seamlessly integrate with third- party audience data source to acquire anonymous data to achieve higher precision.

b

Better ROI

Use centralized media performance analytics to determine which audience performed and where to double down.

s

Site Optimization

Use first- or third-party data to determine customized content for different customers when they come to your site.

a

Audience Intelligence

Contrast your site’s audience against third-party data sources to learn more about specific audience attributes to target more likely customers.

slide-7
SLIDE 7

DMP IMPLEMENTATION

7

50% 75% 100 % 25%

DATA COLLECTION BUCKET USER ACTIONS STRUCTURE YOUR DATA CLASSIFY YOUR RAW DATA

slide-8
SLIDE 8

Leaders offer full-stack

best-of-breed

  • integrations. ~ The Forrester Wave™: Data Management Platforms, Q4 2015

Forrester Research

slide-9
SLIDE 9

WHAT AN ADVANCED DMP OFFERS

9

01 01

TAG MANAGEMENT

02 02

AUDIENCE SEGMENTATION

03 03

MEDIA INTEGRATION

04 04

CAMPAIGN ANALYTICS

05 05

AUDIENCE ANALYTICS

slide-10
SLIDE 10

THE DMP DASHBOARD

MARKETING ANALYTICS

Campaign data ingestions Scalable data storage and processing Robust interactive dashboarding Exportable reporting User interface for visualization and reporting Lookalike modeling and discovery reports

AUDIENCE MGMT.

On-demand 3rd-party data User interface for audience management Searchable data taxonomy Pre-integrated with major platforms Custom audience segmentation

TAG MANAGEMENT

Universal container tag Ability to ingest 1st-party data Taxonomy tools to organize user data Universal ID synching

DMP Checklist

Many companies offer dashboards of standalone features they claim are DMPs. Simple tools like this are not DMPs. A full-featured DMP offers all

  • f the features on the right.
slide-11
SLIDE 11

WHO WE ARE

11

Infused with a startup mentality, we are passionate about the ways that data has come to touch and reflect nearly every aspect of human life. This passion animates every solution we provide to each and every client

OUR VISION

slide-12
SLIDE 12

Meet our team

slide-13
SLIDE 13

Our CO-founder

Entrepreneurial-, solutions-, and process-

  • riented Technical Evangelist

Extensive experience and expertise in designing, architecting, and building technology systems that deliver tangible results to clients Multiple roles over 13 years with Red Hat, HP, and IBM

Arun Mohan

slide-14
SLIDE 14

Our co-founder and chief data scientist

14 Extensive experience in machine learning and data engineering Speaker at Global Big Data Conference, Washington, D.C., November 2012 Speaker at MongoDB World Conference, New York, NY, June 2015 Speaker at FifthElephant Data Conference, Bangalore, India, July 2015

Deepak

  • G. Krishnan
slide-15
SLIDE 15

Data science team

15

Sandeep Unni

Architect Experience with large-scale advertising platforms, client side advertising sdk, and analytics engine. Expertise in Hadoop, Hbase, Cassandra, Web scraping, Crawlers, Flume, MySQL, Riak, Neo4j, DynamoDB, and MongoDB.

Rahul Raj

Cloud Infrastructure Engineer Industrial experience in designing and implementing highly available and scalable public and private cloud in various platforms, including Openstack, Cloudstack, Amazon Web Service and VMware.

Nidhin Thomas

Data Engineer Expertise in big data, machine learning, and distributed computing. Design and Implement Big Data and NLP applications using machine learning or other techniques over distributed clusters.

slide-16
SLIDE 16

Thank you.