With your OKRs in mind, you now need to determine which data is important to your business. In our previous example, some of this data could be:
- consumer habits and behaviors (time spent on the website, most visited content, entry and exit pages, among others);
- demographic data of prospects and customers (age, gender, place of residence, profession, family status, income, among others);
- opinions of your consumers rega tunisia phone number data rding your products or the functioning of e-commerce in general (product pages, payment gateways, customer service , among others).
Next, you will need to define what your sources of information will be.
In Data Driven, any point of interaction is a valuable source of data. For example:
- Marketing Automation platforms (e.g. chatbots, Email Marketing tools, CRMs, among others),
- post-purchase surveys ,
- social listening on social networks.
3. Prepare and train your team
We’re almost there, but before we start measuring, it’s crucial that all of your employees have analytical skills and knowledge .
Remember that the idea of having the data is to extract true and relevant directions to guide the strategy!
For this, training in Big Data, Marketing tools and analytical thinking are fundamental in a Data Driven Marketing strategy.
You can also encourage collaboration across nlp sales tips for your everyday life teams to get more out of data. For example, how about marketing meeting with IT , sales, or operations to share ideas and insights?
4. Set up your data collection and analysis tools
Now that you know what your goals are, the data relevant to your business, and the sources of information you will use, it’s time to start setting up your data collection!
Some of the tools that will become the allies of your Data Driven Marketing strategy are:
- Google Analytics ;
- Google Search Console ;
- social media management platforms;
- Email Marketing platforms;
- CRM .
This is where the marketer’s strategic thinking c bjb directory omes to the fore, as you must evaluate what data you have, what data you need, and what tools can help you obtain it.
In fact, according to a post from the Digital Marketing Institute, a third of respondents say they have invested in five to ten platforms in the past five years, but many still don’t have full visibility into their data.
So, once you determine which tools are most useful for your particular business, you need to set up their automatic reports with the data you need.
The most interesting thing about automation tools is that they provide reports that are easy to interpret and have a high level of segmentation, based on the filters they provide.
An example is SEMRush , an SEO software that is widely used in Latin America.
With one of its features, marketing professionals can even identify which keywords bring the most traffic to their competitors:
5. Interpret the information, take action and measure the results
Data analysis is the heart of Data Driven Marketing because, in the end, the large volume of information is only useful if it helps us design better strategies .
By discovering your customers’ behavior, you can better adapt your products, services and content to their needs.
On the other hand, you can anticipate consumer reactions with predictive models.
This way, you can run A/B tests to create a personalized multi-channel experience, adjust your Content Marketing strategy, your social media posts, your Email Marketing campaigns or your advertising campaigns.
Once you have made the changes, you must measure the results with the KPIs you established in the first stage, compare whether the results you obtained were as expected, and start the process again.
3 success stories in the use of Data Driven Marketing
1. Netflix
Part of the “secret” to Netflix ‘s success is that, through Data Driven Marketing strategies, they take advantage of all the information they can extract from the user to offer