23
OMNICOM EVIDENCE Insight | Foresight | Analytics | Data Science | Consulting

ProductCamp Helsinki Omnicom Analytics Final

Embed Size (px)

Citation preview

Page 1: ProductCamp Helsinki Omnicom Analytics Final

OMNICOM EVIDENCEInsight | Foresight | Analytics | Data Science | Consulting

Page 2: ProductCamp Helsinki Omnicom Analytics Final

@mertanenDirector, Digital Analytics @OMD_Fi

Page 3: ProductCamp Helsinki Omnicom Analytics Final

ANALYTICS IS THE BOOKKEEPING OF MARKETING

Page 4: ProductCamp Helsinki Omnicom Analytics Final

ANALYTICS IS THE BOOKKEEPING OF MARKETING

CONTENT:

Analytics is easy to startResults from Google Analytics auditsMultiple sources of dataData silos vs. integration

Advanced analytics examples

4

Econometrics

Digital Attribution

Linear

Page 5: ProductCamp Helsinki Omnicom Analytics Final

ANALYTICS IS EASY TO START

5

Just place the snippet in website and “enjoy” multiple reports.

Econometrics

Linear

Page 6: ProductCamp Helsinki Omnicom Analytics Final

6

Econometrics

Linear

Page 7: ProductCamp Helsinki Omnicom Analytics Final

GOOGLE ANALYTICS AUDIT RESULTS

41% HAS OUTDATEDTRACKING CODE

71% NO TAG MANAGEMENT SYSTEM IN PLACE

Audit data by @super_analytics. Audit included +40 check points.

DON’T GET NEW GOOGLE ANALYTICS FEATURES

MISS COST EFFECTIVE, FLEXIBLE AND MODERN WAY TO WORK

Page 8: ProductCamp Helsinki Omnicom Analytics Final

GOOGLE ANALYTICS AUDIT RESULTS

49%NO DECENT CAMPAIGN TRACKING

91%SPAM & BOT TRAFFIC NOT EXCLUDED

Many companies suffer from poor data quality.

POOR DATA QUALITY FOR TRAFFIC SOURCES

POOR DATA QUALITY FOR OVERALL TRAFFIC

Page 9: ProductCamp Helsinki Omnicom Analytics Final

GOOGLE ANALYTICS AUDIT RESULTS

79% NO EVENT TRACKING IN PLACE

80% NO GOAL TRACKING IN PLACE

Many companies miss relevant data and optimization.

MISS RELEVANT DATA FOR BUSINESS

CAN’T OPTIMIZE MEDIA SPEND AND WEBSITE AGAINST GOALS

Page 10: ProductCamp Helsinki Omnicom Analytics Final

10

Econometrics

Linear

We’ll see what kind of

data we get from Google Analytics

by default

We’ll define what data we need & implement

Google Analytics

accordingly

WEB ANALYTICS IMPLEMENTATION

Page 11: ProductCamp Helsinki Omnicom Analytics Final

11

Econometrics

Linear

QUALITATIVE DATA: HEATMAP

Page 12: ProductCamp Helsinki Omnicom Analytics Final

12

Econometrics

Linear

RESEARCH DATA: NPS SURVEY

Page 13: ProductCamp Helsinki Omnicom Analytics Final

13

Econometrics

Linear

CUSTOMER DATA: CRM

Page 14: ProductCamp Helsinki Omnicom Analytics Final

14

Econometrics

Linear

ADVERTISING DATA: ADFORM

Page 15: ProductCamp Helsinki Omnicom Analytics Final

Econometrics

Linear

Page 16: ProductCamp Helsinki Omnicom Analytics Final

Econometrics

Linear

Page 17: ProductCamp Helsinki Omnicom Analytics Final

17

Customer Database

ResearchDatabase

AdvertisingPlatform

QualitativeData

Web AnalyticsData

DATA IN SILOS

Page 18: ProductCamp Helsinki Omnicom Analytics Final

18

OmnicomBig DataPlatform

DMP

WebsiteAnalytics

CRM

Atlas

SalesData

Ad serving& DSP

Cross-deviceData

Accuratetarget grouppool

Globalperspective

Constantcustomerinsight

Real-timeROI / ROAS / ROMImodelling

Data drivencontentcreation

Data drivencreative design

Adaptivebusinessmodel

Page 19: ProductCamp Helsinki Omnicom Analytics Final

Correlation & Time Lag

Star

t Dat

e

-1-2-3-4-5-6-7-8-9-11-12 -10Weeks Before Purchase

Stre

ngth

of C

orre

latio

n

Newsletter Signup Page

About Page

Product Page

Demo Page

Store Locator

Page

Days Before Purchase

Visits > 60s

Hotspot

Video Play

• 1-3 Months before thy buy or switch, people might visit the product page, find out about the products and company in general, and consider requesting more information

• Some weeks before they buy, they might start considering finding an agent, or finding out about booking a demo.

• Some weeks before they buy, people might use the site more intensely and for longer visits, engaging with interactiveelements deep within the site.

Page 20: ProductCamp Helsinki Omnicom Analytics Final

20

Econometrics

Linear

MARKETING & SALES MODELLING

=

Response

Method has proven track record for:

• Sales data • Sales leads • Customer churn

+ +

MediaCompetitor behavior

=

DistributionSeasonality

Typical data

Macro factors

Media data

Competitors media data

Weather data

Calendar

Market data

Below the line activities

Response

…Based on available data

Mathematical & statistical analysis…

+

Page 21: ProductCamp Helsinki Omnicom Analytics Final

EXAMPLE: VISUALIZATION -FROM DATA TO DASHBOARDS

21

Our web-based reporting tools sit on top of our data architecture, enabling clients to make fast and informed decisions.

It works, as real time, as the data arrives.

Page 22: ProductCamp Helsinki Omnicom Analytics Final

22

Econometrics

Linear

YES!

Page 23: ProductCamp Helsinki Omnicom Analytics Final

OMNICOM EVIDENCE

Petri Mertanen, Director, Digital Analytics [email protected], +358 400 792 616