Creating data and value with Analytics: Benetton case Valentina Roat, Benetton Group Digital Media & Marketing Manager, Italy

Marco Cilia, InTarget Group Web Analytics Manager , Italy

Starting point: data need

When technology means opportunity Benetton started a project of Analytics assessment thanks to the awareness of the key importance of measurement

MONITORING: Keep track of trends

ACTIVE ANALYSIS

 Strategic approach to tracking: data that digital/ marketing/ commercial department need  Specific reporting for business: hey, we got data to find insights!  Actions: online to online but also cross-channel

Ecosystem

A Structured Tracking Architecture The platform measure a multicountry site with both editorial and e-commerce content with a complete tracking of shopping variables and some extra metrics Assessment and set-up

Campaign manager

Ongoing implementation of specific data needed/available Premium

Benetton.com Analytics Adwords Deduplication

Ecosystem

..for effective specific insights Enhanced e-Commerce   

Product View/ Add-toCart Brand/ Category/ SKU Local Currency/ Tax/ Coupon

Custom Metrics  

User-ID

Events and Goals  

Newsletter Subscription Unexpected Out-Of-Stock message

Size Metric Discount on full-price



Tracking centered on single user (based on encrypted email key)

User-ID based tracking

Digging into customers profile and habits Analysis on qualified segment of users gave insights on target profile and cross-device behaviour

Using 3 devices Using 2 devices Using 1 device

x2.6

x2.1

Base

TAKEAWAY: Xdevice users are highly valuable customers

X-device users are up to

2.6x more NEXT STEP: Broaden user-ID and analysis

likely to convert

For an average order value up to

2x more the average

User-ID based tracking

..leveraging on multi-channel.. We’have the opportunity to study our users’ multi-device flow and to reevaluate attribution from classic last-click model

>25% of conversions are impacted by mobile

TAKEAWAY: Mobile’s influence is bigger than expected

NEXT STEP: Smartphone contribution to be reevaluated

% Tot Conv.

Desktop

Tablet

Mobile

Last year

75%

17%

8%

Current year

67%

19%

14%

% Change

-8%

2%

7%

Last click model

Linear model

10%

34%

User-ID based tracking

..leveraging on multi-channel.. ACTIONABLE INSIGHTS  Mobile represent an assist in contact and engage  is influencing warm visits to conversion  Both session and coversion from mobile are increasing

Creatives More mobile in our display Brand campaigns where we in HTML5 need to inspire More dedicated planning

Mobile-specific bidding in campaigns

Search

Social

User-ID based tracking

CRM Integration: connecting Online & Offline Extending measurement to users qualified online as FidelityCard user (program valid only in stores) we’ll have soon the opportunity to have

Online and offline data put together for an actionable omni-measurement

Understanding how digital influences in-store sales

Remarketing online using offline data Powered by



Study user-ID online behaviour connected with in-store sales



Generate new quality leads with lookalike for an acquisition program



Target online a specific group of ‘offline users’ to improve sale frequency

How To

Approach: strategic and agile Digital can definitely be a key space for data creation and thus empower business actions. Keys:  evolutive management  knowledgeable tech partner  sharing/engagement with other dept

Creating Data and Value

Analytics 4 Business Actual collaboration with other departments BUSINESS ANALYSIS E-COMMERCE

 Sales report  Study of sticky Content/ Products  Cycle of Product View, View vs Revenue  integration with ABC  Analysis to optimize merchandising buy

CONSUMER INSIGHTS

 Loyal Visitors vs offline FidelityCard profiles comparison  Multichannel customer cycle analysis

CRM

 Actual FidelityCard profile and behaviour enrichment  Targeted online Acquisition/ Remarketing campaigns

Thank you!

Presentazione di PowerPoint Services

>25% of conversions are impacted by mobile. 10%. Last click model. 34%. Linear model. TAKEAWAY: Mobile's influence is bigger than expected. NEXT STEP:.

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