The most Challenges face by marketing data-driven

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The term "marketing data-driven " refers to a marketing strategy that is based on data analysis. Customer preferences and larger trends that might affect a marketing effort will be examined in this study, Once considered a rarity, the proliferation of niche media outlets and changing consumer demands have made data analysis an integral part of contemporary marketing operate-driven


Marketing data-driven Challenges

The most Challenges face by marketing data-driven

Marketing data-driven methods promise to be favorable for both marketers and consumers.

However, there are a few issues that might prohibit marketers from getting the full advantages of their data or from efficiently reaching consumers. 

The enormous amounts of data that businesses today have at their disposal make it possible for them to take a marketing data-driven approach to media strategy. With the use of attribution modeling.

Marketing teams can keep track of every time a consumer interacts with a brand on their journey.

Avoid Being Invasive

Marketing data-driven Challenges

Though customers demand individualized experiences, they don’t expect companies to know everything about them.

 Even more so, if they opt to hand up personal information, they want to know how it will be utilized to their advantage.

Consumers feel passionate about data transparency, with 79 percent of consumers indicating they would cease doing business with a firm if they realize their data is used and acquired without their permission. 

Poor Data Quality

Marketing data-driven Challenges

To have a strategy guided by data, you need to have the correct data procedures in place.

 This will guarantee you are basing choices and strategy on high-quality data that is indicative of client demands.

 If your data does not correspond to data quality characteristics such as timeliness, correctness, completeness, representativeness, etc.

 then you risk making judgments based on data that gives little insight into your customers’ true requirements.

 In reality, approximately half of new data records had at least one serious inaccuracy in them and an HBR research could only informally evaluate 3 percent of data quality scores to be acceptable.

 With this in mind, before starting on marketing data-driven methods, marketing teams must ensure they have data quality standards and regulations in place.

 Extracting the Right Information

Many firms are investing in big data (sometimes spending millions), but have been unable to deliver any meaningful return on this investment.

 If you are gathering enormous volumes of data — but not the proper data – it will do nothing to influence your marketing approach.

70 percent of marketing and sales leaders have regarded marketing data-driven as a key goal,

although just roughly 2 percent have had a favorable effect when investing in these solutions. 

It’s Complicated

Implementing a marketing data-driven plan involves time and resources as marketing teams must ensure the necessary rules and procedures are in place.

While marketing teams frequently find the process complex, the results are eventually worth it.

Even if your organization has the appropriate expertise and technology in place, it might be tough to comprehend where to start.

Marketing teams need to make sure they have an in-depth strategy in place before heading off or should work with a third-party team that can assist them in getting the most out of their data.


As a consequence, they are more selective about the messages they choose to interact with. A marketing data-driven may significantly boost the likelihood that a marketing team's target market will click on their ad, attend their webinar, read a blog post, or do another action that drives a goal.

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