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This document contains information and data that AAUM considers confidential. Any disclosure of Confidential Information to, or use of it by any other party (i.e., a party other than Aaum), will be damaging to AAUM. Ownership of all Confidential Information, no matter in what media it resides, remains with AAUM. AAUM Confidential AAUM Research and Analytics Private Limited 01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai 600113 Tel +91 44 66469877 | Fax +91 44 66469877 Email: [email protected] | Web www.aaumanalytics.com Your affordable, customizable and scalable advanced analytics solutions to help you to scale your eTail business

geniSIGHTS Offerings on eTail

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Aaum's presentation on e-commerce analytics contains Heat Maps, Attribution Modelling, Market Mix Modelling, AB Testing, Uplift Modelling to predict the Persuadables, Optimization, Campaign/Publisher Scoring.

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Page 1: geniSIGHTS Offerings on eTail

This document contains information and data that AAUM considers confidential. Any disclosure of Confidential Information to, or use of

it by any other party (i.e., a party other than Aaum), will be damaging to AAUM. Ownership of all Confidential Information, no matter in

what media it resides, remains with AAUM.

AAUM Confidential

AAUM Research and Analytics Private Limited 01 N, 1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113

Tel +91 44 66469877 | Fax +91 44 66469877 Email: [email protected] | Web www.aaumanalytics.com

Your affordable, customizable and scalable advanced analytics solutions to help you to scale your eTail business

Page 2: geniSIGHTS Offerings on eTail

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Your affordable, customizable and scalable advanced analytics solutions to help you to scale your eTail business

And Many More…

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Research

data

CRM

data

FInance

data

Dept n

data

Other

private

data

Client data sources

SQL NOSQL

geniSIGHTS enterprise data warehouse

R2

R1

A2

A1

Rep

ort

ing

en

gin

e

Analytical engine

Analytically enriched dashboards and applications

• SQL • Hadoop • Hbase • MongoDB • DynamoDb

Aggregator and integrators

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Problem Statement: • How can I analyze my web traffic data? • On what days and time slots do I experience

maximum traffic on my website?

Data required

Web traffic data on sites and campaigns

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Data required

Clickstream data

Cookie data on attributes if captured

Problem Statement: • How can we identify which touch point is more

dearer to me in contributing to conversions? • How can I calculate my channel contributions to

conversions to channelize my yield effectively?

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Problem Statement: • How do we decompose the sales to key drivers

like Price, Competition, Market channels such as TV, Press, Internet, etc to understand their combination to sales?

• How do we calculate the efficiency or ROI from these market channels?

Data required:

Past sales data

Past market channel data

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Sales = Base_sales x Incremental_Sales1 x

Incremental_Sales2 x…x Random_effect

Demo

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Data required

Web traffic data on sites and campaigns

Problem Statement: • Would marginal improvements/changes in my

marketing strategy or on campaigns/site layouts, images, colors, text, etc bring in significant improvements on my yield?

• How can I calculate my channel contributions to

conversions to channelize my yield effectively?

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Problem Statement: • Are my marketing campaigns targeted to the

right customers? • Which of the customers would respond

positively to my market campaigns?

Data required:

Marketing channel transactions data

Demographic, Psychographic data

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The Persuadable: customers who only respond only because they were targeted

The Sure Things: customers who would have responded whether they were

targeted or not

The Lost Causes: customers who will not respond irrespective of whether or not

they are targeted

The Sleeping Dogs: customers who are less likely to respond because they were

targeted

Demo

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Problem Statement: • A media company wants to allocate campaign ads

so that the clicks are maximized. The company has different sites to which it can allocate impressions. How much of impressions should be distributed among these sites so that the clicks for the campaign is maximized?

Data required

Past transaction data

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Problem Statement: • How well do my campaigns perform across sites

over time? • Can I compare the performance of my campaign

with that of the industry performance? • How do I evaluate if my campaigns appeal well to

my audience?

Data required

Past transaction data

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1st floor IIT Madras Research Park, Kanagam road, Chennai – 600113

+91 44 66469877 +91 44 66469887 +91 44 66469877

[email protected] b.rajeshkumar

AaumAnalytics http://www.youtube.com/aaumanalytics

http://www.facebook.com/AaumAnalytics www.aaumanalytics.com

http://www.linkedin.com/company/aaum-research-and-analytics-iit-madras

Aaum Research and Analytics founded by IIT Madras

alumnus brings in extensive global business experience

working with Fortune 100 companies in North America &

Asia Pacific. Established at IIT Madras Research Park with a

focus on researching and devising sophisticated analytical

techniques to solve pressing business needs of corporations

ranging from travel & logistics, finance, insurance, HR,

health care, entertainment, FMCGs, retail, telecom.