According to Babelee's definition, in fact,

[nurmohammadkhan]

Data-driven creativity consists in building marketing and communication strategies starting from consumer data (real and potential) to create highly personalized campaigns, improve their performance and maximize ROI. (source: Babelee)

Data collection occurs through tools such as artificial intelligence , machine learning, CRM software , which have now become indispensable for building valuable relationships with consumers.

As we have often said in our blog, the need for brands to listen and respond to norway whatsapp resource customer needs and build customer-centric strategies is increasingly central and evident. Basing your creative process on data analysis becomes, therefore, a fundamental step to achieve this goal.

According to a recent Google analysis, approximately 40% of sales are influenced by campaign creativity. A fact also confirmed by platforms such as TikTok, Youtube and Snapchat which have recorded an increase in the engagement rate in campaigns built and optimized based on data analysis. (source advertisingweek.com)

A data-driven creative process can create more engaging and effective marketing campaigns , helping to attract new customers and retain existing ones.

The great challenge of brands , in fact, is to build loyalty and lasting and valuable relationships with customers. A challenge that can only be faced by redesigning creative formats, offering useful content and attentive, efficient and personalized experiences .

In our blog we have often talked , in fact, about how customers choose to remain loyal to a brand not for the price or the product, but for the experience they receive.

All that remains is to understand, therefore, how the various phases of the creative process can be improved and enhanced through data . In fact, the latter can be a great added value both for creativity and for the entire customer experience . Let's see how.

Towards a new creative process
The creation of an advertising campaign begins with research aimed at identifying target audiences in detail. Research that translates into data and information that can be relevant in the development of creativity .

It is precisely at this stage that data could make the difference. Which data should be considered to develop data - driven creativity ?

Behavioral data , based on user behavior on the web, i.e. that generally collected by cookies;
Contextual data , based on the content consumed, which allows a message to be conveyed through the type of content preferred by users;
Psychographic data, which refers to the personality, values, interests and lifestyle of users. This data allows you to define a more detailed view of the target audience and understand how to stimulate them to perform a certain action.
Demographic data , including age, gender, marital status, occupation and household information.
Geographic data, provides information about where users live or are located. This is very relevant data, especially in the development of geo-targeted campaigns, which allow you to also take into account the uses, customs and consumption habits of a given territory. (source: Epsilon.com)
However, there is also a lot of other information to collect that can be useful in developing new creativity.