Customer actionable insights from big data as a service

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CUSTOMER ACTIONABLE INSIGHTS FROM BIG DATA AS A SERVICE (BDAAS) How to implement new customer services based on customer journey and expectations powered by PANORATIO

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How to implement new customer services based on customer journey and expectations. Facing a new breed of demanding consumers, new challenges arise: you have to provide the right offer adapted to each one's expectations, at the right time. Taking a dynamic approach to how you consider all of the information and data that your customers generate can help you understand their interests, as well as meet their needs in a timely manner. This is the benefit of the Big Data as a Service (BDAAS) approach: creating new services based on true understanding of customers.

Transcript of Customer actionable insights from big data as a service

Page 1: Customer actionable insights from big data as a service

CUSTOMER ACTIONABLE INSIGHTS FROM BIG DATA AS A SERVICE (BDAAS)

How to implement new customer services based on customer journey and expectations

powered by PANORATIO

Page 2: Customer actionable insights from big data as a service

A NEW BREED OF DEMANDING CONSUMERS

Look for safe and natural foods.

Are aware of the challenges of sustainable development.

Find themselves in a difficult economic climate.

Are growing increasingly distrusting of advertising and manufacturers.

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DIVERSE EXPECTATIONS THAT MUST BE MET

Bargains

Organic label Health

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NEW CHALLENGES FOR ADVERTISERS

ATTRACT / RETAIN INCREASINGLY DEMANDING CUSTOMERS

CREATE EFFECTIVE & MEANINGFUL CAMPAIGNS

Qualify Targets precisely

Personalize Messages

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THE CUSTOMER EXPERIENCE: AN AREA WITH GREAT POTENTIAL

Taking a dynamic approach to how you consider all of the information and data that your customers generate can help you understand their interests, as well as meet their needs in a timely manner (something statistics can’t do).

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The ability to integrate all customer data – from the minutest detail –

provides a means for qualifying targets in a new way.

Dynamic analysis makes it possible to launch an immediate and necessarily effective personalized action.

BDAAS BENEFIT QUALIFY TARGETS PERSONALIZE MESSAGES

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AUTOMATIC COLLECTION OF VARIED AND HETEROGENEOUS INFORMATION

Analyzing customer data ensures that patterns are identified in a dynamic manner, that targets are qualified and that the expectations of this new breed of consumers are understood in real time.

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AN OFFER RELAYED TO A QUALIFIED AUDIENCE

A base of products, stores and promotions

that can be precisely selected according to customer profile and

expectations.

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NEW SERVICES BASED ON UNDERSTANDING OF CUSTOMERS

Targeted Dissemination Tracking Optimization

An integrated service Coupons and personalized messages are distributed through

general/ non-commerce online services

E-commerce applications Coupons are offered through dedicated commerce applications or are integrated into

supplier systems

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A MEDIA PLATEFORM TO PUSH PERSONALIZED OFFERS

Information and promotions for products-services that are of true interest to customers

EASY TO USE • Target messages and

products according to consumer profile, which guarantees their interest

• Analyze trends and changes (predictive analytics)

EFFECTIVE MARKETING MEDIA

• Measure customer engagement and attrition

• Push promotion through a clear vendor identity

SCIENTIFIC BENCHMARKING

• Profiling, scoring, matching

• Control of study pace

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GEOTARGETING TO INCREASE TRAFFIC

GEOLOCALIZED

DISTRIBUTION Product and promotional information is provided depending on customer geolocalization, which is based on your own parameters Ex.: Less than a 5-minute drive away

« GEOFENCED » NOTIFICATIONS

E-mail and text message notifications are sent to application users when they are close

to corresponding shopping centers.

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SOME REFERENCES FOR MOBILE INTEGRATION

Shopping Contextualization

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SOME REFERENCES FOR WEB INTEGRATION

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AN INNOVATIVE SOLUTION

Easy-to-share Understanding of Your Customers

Foundation of a new understanding of your customers

and scientific methods of benchmarking

Recognized experience

Relationships with vendors Proven data analytics tools

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