The big data analytics market is growing at a rapid rate, from an estimated market size of $8.5 billion in 2017 to over $40 billion by 2023.
This massive investment in digital transformation requires companies to be data smart: using data science to transform information into insight. Data analytics for digital marketing, in particular, can be a challenge to those with limited experience gathering this vital information, particularly in large or dispersed organizations.
Yet by using the right principles alongside low-code k3 ETL tools, marketers and business leaders can take advantage of crucial big data use cases with ease.
BI Investments in digital transformation requires companies to be data smart: using data science to transform information into insight.
Marketing Data Analytics: What Is It?
Marketing data analytics can take several highly-useful forms, including:
- Lead scoring. Data makes the difference for marketing funnels by giving an exact score to the customer’s likeliness to buy.
- Customer Lifetime Value (CLV). Data analytics and marketing go beyond the one-time sale. Assessing your customer’s total value across their lifespan with your company requires applying the right marketing analytics data sets.
- Campaign Optimization. Marketing and data analytics go hand-in-hand from campaign ideation to implementation and assessing results.
These are just a few of the big data use cases in marketing analytics. Some companies put the majority of their focus in one area, while others create expansive data sets for big data use cases.
But remember—the success of your marketing analytics efforts is only as good as the data you put in.
The success of your marketing efforts is only as good as the data you put in.
Using K3 ETL For Marketing Data Analytics
Applying data science in marketing analytics helps to gain greater insights. Data visualizations, in particular, are a popular option for marketing departments. You don’t need to be a developer or an expert to interpret a bar graph or pie chart that’s based on your best data.
PRO TIP:
Read data science case studies in marketing to see how your company can adapt. Data science using Python, in particular, allows for effective visualization.
Getting the data to visualization tools, however, is another matter. Customer data is often siloed across departments, platforms, systems, and databases, causing an often-incomplete picture of your marketing analytics data sets.
That’s where K3 ETL comes in. Broadpeak Partners’ data prep tools are low-code and can be set up in minutes, bringing information to one centralized location for a marketing strategy based on first principles and data analytics.
To see K3 data integration for yourself, set up a free demo to start building your marketing data analytics models before your competition:
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K3 Guide
Navigating the pathway to surfacing and making useful data from a myriad of sources can be daunting. Our K3 Guide is here to share best practices, objective insights and modern approaches to solving modern data prep and integration challenges.
