Nov 25, 2022
Greetings, fellow marketer 👋! We are building a data-driven marketing assistant that will help you with the decision-making process, Gretel.
So, without further introduction, here are some of the FAQs specifically for data-driven marketing. It’s a bit of "data-driven marketing 101" if you will.
Data-driven marketing is the fusion of using data and statistical information to make informed decisions (data-driven decisions). This could be the decision based on when it is best to send an email campaign, post on social media, or on what channel to focus your energy or investment to drive more traffic to your website. It basically uses data to make data-driven decision-making.
Maybe this webinar? https://www.fluidogroup.com/creating-value-intelligent-data-driven-marketing-automation/
The benefits of data-driven marketing are that you are using proof. Combined with metrics, statistics, and qualified data, to justify certain marketing actions or business decisions. There is always some sort of trial-and-error involved in detecting the right data. you find a formula that works, it is evidenced by the stats of your campaigns. Decisions based on data are measurable and calculable which makes success.
You analyze marketing data by collecting specific data points. This happens over time (so you can have a wider perspective), using that data to tell a story about what is going on with your marketing campaigns.
Depending on the type of campaign or data analysis, you will consider measuring one data point or another. If you are running a campaign based on conversion, you’d like to check the conversion rates.
Common data points used in digital marketing campaigns are impressions (the number of people who see your digital campaign, in ads). Other common data points are clicks (the number of visits/actions taken from the campaign, used in ads or email), and CTR (click-through rate, that is the ratio of users that click to the number of total users impacted) but metrics analyzed can vary.
You can also use data visualization in your data analytics. This will help you to make data-driven decisions while your decisions.
Marketing data insights are an accurate and profound understanding of marketing data. Furthermore, the use of such data to guide your marketing decisions.
Marketing data insights are the next step in data-driven marketing. This is because you are using data to then drive a decision.
Data-driven refers to the use of the data, and data insights are the next step in using that data. The decision maker is the one in charge of converting data or big data into insights. Insights are the hypothesis that will lead your business to become a data-driven organization and follow a data-driven culture.
The difference between data insights and data collection is essential.
Data is pure information and numbers that explain the situation and show us the performance of a campaign (in marketing).
Analytics is the process of understanding this data and interpreting it to generate data insights. Data insight is the last step. It's about applying data to your business. Not only knowing that pageviews are 2k per day but also interpreting this data and understanding how it’s increasing or decreasing.
Then you can make the right decision with the presented statistics to your business leaders.
Data-driven insights are important because they actually provide actionable events, not just raw data. It’s the ‘then’ portion of the statement, “If x, then y." You are going a step further with your data, applying conclusions or actions to the statistics.
Using data-driven insights can help you identify and improve many things including: new business opportunities, relationships with your customers, internal operations, increasing sales, engaging your community, creating better, more focused marketing campaigns, aligning your team, and solidifying your company objectives.
Only by using insights data scientists can convert this data to inform other teams about what is happening across your organization. It's a must must-step in creating a data-driven culture and driving businesses to rely on the importance of data.
Data insights can help your business accomplish its goals or OKRs. Some of the benefits of having this data culture are:
A decision-making example situation from a marketing insight could be this scenario:
Running A/B tests on a home landing page, you can see where the best location for a CTA (call-to-action) might be, if you set it on the top right, on a flotant button, pop-up, on the center, etc.
You can also test what words to use on the CTA button, or what color, etc.
After running tests, the data may help you to generate an insight like choosing a particular location, set of words, or button color that is going to be the best bet for conversions.
Insights-driven marketing uses marketing data to draw conclusions, make decisions, and act upon them. Statistics are a roadmap to becoming more data-driven.
An insight-driven business is one that uses statistics and analyzes data to drive decisions and actions moving forward.
Using analytics in the decision-making process. They go beyond gathering and reviewing data. They actually utilize all possible stats to properly decide the best course of action to move forward. This could be within marketing, sales, internal operations, or across the board of their business activities.
Two main types of marketing databases within organizations are 1) business databases and 2) consumer databases.
Generally, both databases correspond to B2B and B2C businesses, respectively.
Marketing insights are used as a means of optimizing buyer personas by taking specific data points, analyzing them, and drawing conclusions about customers.
This is a moving target, as data can change, consumer trends can evolve, and ultimately buyer personas will need updating.
Using marketing insights and data to drive these changes is ideal, as decisions can be backed up by statistics.
Similar to how marketing insights can be used to optimize buyer personas, they can also be used to influence or enhance a customer's journey.
One example is a website and the journey from entering the page to completing a purchase. There are generally a few steps, if not several actions, that must be taken in order to place an order.
Using data (marketing insights) to adjust and improve that process is essential to the overall success of a business (particularly an e-commerce business in this instance).
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