Data & marketing strategy
Table of contents
Become a benchmark in your market, attract new customers, and retain them.
The amount of data a company generates every day is continually growing. Be it through its interactions with various stakeholders, traffic generated through SEO, or clicks obtained thanks to SEA, for example. All these data, when used well, can be a real gold mine for a company.
They can not only provide key information about its customers but also guide its strategic choices, thereby positively impacting its growth.
Caracal can support and help you fully utilize your data with a well-crafted data marketing strategy.
Maturity Diagnosis
We start by assessing the maturity of your data marketing ecosystem. We analyze the different types of data your company generates, look at whether and how you collect them, in addition to examining how you use them.
We also list the tools you have at your disposal. This work will allow us to identify areas for improvement as well as opportunities in the short, medium, and long term.
Collection and centralization
Following our analysis, we establish a reliable technical foundation that will allow us to collect and centralize all the marketing data your company generates each day. This technical foundation consists of tools such as Google Analytics and Google Tag Manager, which we implement and optimize for you.
The goal is to make your data readable and understandable to then be able to analyze them.
Analyses and actions
Once the technical foundation is set up, and we have collected enough data, we move on to the analysis phase.
This phase involves analyzing your data to identify trends and insights, allowing us to determine which areas your company should prioritize for improvement.
To achieve this, we conduct both quantitative and qualitative analysis of several elements:
- Your customer segmentation,
- Your user journey and its various stages,
- Your predictive modeling.
The idea is to identify and understand, based on the collected and analyzed data, the habits and preferences of your customers to consistently offer them the best possible experience.
Another example: If data analysis reveals a flaw at one of the stages of your user journey, it allows us to detect it and take the necessary measures to address it. The impact will then be direct on your growth and your revenue.