CDP: handling multiple data sources for smart activation - The Digital Benchmark - Berlin 2019

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CDP in action: handling multiple data sources for smart activation

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SPEAKER

JONATHAN KOSKAS Manager Digital & Data

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Customer Data Platform A short definition "A Customer Data Platform is a packaged software that creates a persistent, unified customer database that is accessible to other systems"

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AGENDA - USE CASE #1 CRO for a travel agency v

- USE CASE #2 UX personalization for an insurer

- USE CASE #3 X-channel retargeting for a retailer

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USE CASE #1 CONVERSION RATE OPTIMIZATION

DATA COLLECTION 1st party data • Prospect calls Customer Support in order to find out about a Costa Rica travel offer for Summer 2019 • Prospect discloses his personal details (name, surname, email) but doesn’t go through (no booking over the phone) enrichissement • Agent inputs prospect’s information into the CRM

Asks for information about Costa Rica travel

Synchronization CRM/CDP

Profile is added to matching CDP segments: [potential buyer for summer 2019] [interest for Costa Rica]

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USE CASE #1 CONVERSION RATE OPTIMIZATION

DATA ENRICHMENT Existing profile in CDP (email address already known) with complementary information :  [sensitive to display promotion]  [consent to ad targeting : YES] ENHANCED SEGMENT

[potential buyer for summer 2019] + [interest for Costa Rica] + [sensitive to display promotion] + [consent to ad targeting : YES]

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USE CASE #1 ACTIVATION

CONVERSION RATE OPTIMIZATION

>> Advertising in the prospect’s Facebook newsfeed (through Custom Audience) >> Programmatic display with personnalized ad (through customer’s adserver)

I M PA C T E D

KPIs Conversion rate

Facebook advertising

Customer satisfaction

Sales (€)

REQUIRED

Programmatic display

ECOSYSTEM CDP

CRM

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Adserver

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USE CASE #2 DATA COLLECTION

UX PERSONALIZATION

1st party data • Client visits insurance website, specifically “RETIREMENT PLAN" pages • Client clicks on “WEB CALL BACK" but does not go through (webform left unfinished)enrichissement

Client

• Client is qualified within the CDP segments

+

Profile is added to the matching CDP segment: Agent

[affinity “retirement plan”]

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USE CASE #2 UX PERSONALIZATION

DATA ENRICHMENT Existing profile in CDP (digital ID already known) with complementary information :  [Mobile App user : YES]  [Car owner]  [Consent mobile personalization : OUI] ENHANCED SEGMENT

[affinity “retirement plan”] + [mobile App user] + [car owner] + [consent mobile personalization : YES]

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USE CASE #2 ACTIVATION

UX PERSONALIZATION

>> Personalized screen on mobile App with proper CAT >> Personalized offer pushed by agent over the phone

1

I M PA C T E D

Personalized screen on App

KPIs Customer satisfaction

x/up sell

Bundle offer « retirement plan + auto insurance »

2

REQUIRED

ECOSYSTEM CDP

Mobile App

Personalization platofrm

Agent

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USE CASE #3 PARTY

RETARGETING

DATA COLLECTION 1st party data • Visitor browses retailer’s website, checks out “Desktop PC Gamer” • Add product to cart, input details but doesn’t complete order • Visitor is qualified within the CDP segments enrichissement

+ Profile is added to the matching CDP segment: [Cart abandonment - Desktop PC Gamer]

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USE CASE #3 PARTY

RETARGETING

DATA ENRICHMENT Existing profile in CDP (email address already known) with complementary information :  [Client Store “Paris Wagram”]  [Repeat purchases > 300 Eur (90 days)]  [Email open rate > 80% (last 3 campaigns] ENHANCED SEGMENT

[Cart abandonment – desktop pc gamer] + [Client Store “Paris Wagram”] + [Repeat purchases > 300 Eur (90 days)] + [Email open rate > 80% (last 3 campaigns]

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USE CASE #3 PARTY

ACTIVATION

RETARGETING

>> Coupon pushed through Email campaign (important rebate to redeem in store)

I M PA C T E D

KPIs x/up sell

Digital contribution

REQUIRED

ECOSYSTEM CDP

ESP

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CRM

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OVERVIEW Customer Data Platform

PROJECT

FUNCTIONS

DATA

Type

> Multiple IDs management / Individual + Digital datapoints

Volume

> Good balance between volume and accuracy

Quality

> 1st party oriented, garbage in/out

Segmentation

> Recommendation algorithm, predictive modeling…

Omnichannel management

> Native integration with many channels (email, dsp…)

Sécurité / Compliance

Time-to-market Scalability TCO

> Multi-channel optin + cookie consent

> Define all data sources, connect with legacy systems… > Depends on vendors ability to add data source, new partners… > Depends on use cases’ complexity

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Thank you !

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CONTACT JONATHAN KOSKAS Manager koskas@colombus-consulting.com

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