SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez nos Conditions d’utilisation et notre Politique de confidentialité.
SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. Si vous continuez à naviguer sur ce site, vous acceptez l’utilisation de cookies. Consultez notre Politique de confidentialité et nos Conditions d’utilisation pour en savoir plus.
One of Our Webcoupers Geniuses gave a presentation on Data Driven Marketing.
The principal idea behind being data driven in the marketing space has always been to incorporate data to in your decision-making process so as to get the best results. However, the approach towards achieving this has evolved over the years.
Data-driven marketing is the strategy of using customer information for optimal and targeted media buying and creative messaging. It is one of the most transformational changes in digital advertising that has ever occurred.
Data-driven marketing allows advertisers to be able to customize creatives based on
behavioral, contextual, psychographic, and geographic profiles of customers leading to
the following benefits;
1. More efficient media buying. Data-driven marketing is probably the most advanced in the programmatic buying sector. By
leveraging algorithms and machine learning, ad agencies and marketers are removing a lot of the guesswork from media
planning and buying.
2. Targeting the right consumers. Ad spends and marketing messages are optimized to be shown only to the appropriate
targets for the marketing campaign.
3. Messaging audiences with relevant messages. The age of generic, one-size fits all marketing messages is over. There is
still room for these big ideas for some brands, but for most companies, marketing messages must get more granular in order
to be relevant enough to resonate with consumers.
This people-first marketing strategy is more personalized. It has also been responsible
for driving considerable ROIs for marketers.
WHY DATA-DRIVEN MARKETING ?
There are two approaches to personalizing ad content for users;
1. Dynamic creative Optimization:
Dynamic creative optimization (DCO) is a display ad technology that creates personalized ads based on data about the viewer
at the moment of ad serving. In DCO, a variety of ad components — such as main body backgrounds, main images, overlay
text, and so on — are dynamically assembled when they are served, according to the particular needs of the impression.
2. Content Management Platforms:
While DCOs can assemble versions that are built on the fly, its sibling, CMP, offers a computer-aided tool so creative staff can
pre-build lots of ads for specific segments.
➔ Commitment from upper-management and a data-driven culture
➔ Data-handling stack
◆ DSP : Supplies customer behavior data based on paid media
◆ DMPs: A Data warehouse where
◆ Marketing Automation : Supplies data based on feedback from customers on marketing activities
◆ CRM :
➔ Creatives Stack : Enables Programmatic Creatives
◆ CMP :
REQUIREMENTS OF TOTAL DATA-DRIVEN MARKETING
➔ In as much as data-driven marketing involves many new technologies and
processes working in concert. At the core of it all, it’s still about incorporating data to
place relevant ads infront of users.
➔ The world; marketing aside, is becoming increasingly more data-driven. Internet of
things (Iot) and various sensors in addition to data from internet
companies/services, fintech and martech. A paradigm shift is required now in most
jobs that decisions are made from making decisions based on gut feelings to
basing decisions on insights gathered from data.