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Data-Driven Marketing: Understanding Analytics to Enhance Customer Engagement

 

Data-savvy organizations are continuously looking for new ways to use data analytics to solve several challenges they encounter. A huge number of businesses are using data analytics to significantly enhance customer engagement.

Werner H Kunz and some of his colleagues from the University of Massachusetts Boston discussed this in their research paper Customer Engagement in a Big Data World. They found that companies can use big data to greatly improve their relationships with customers.

How does data analytics can improve customer engagement and help create effective marketing strategies?

Effective customer engagement strategies are critical factors that can determine how profitable the business becomes. Understanding how to improve customer engagement has various benefits that can help prolong your brand’s lifespan.

However, it’s essential to develop the right strategies when using data analytics to enhance customer engagement. When used correctly with the right analytics tools, these marketing strategies help develop better user experience, drive significant retention rates, and encourage greater lead generation.

Various businesses find it simple to beat their competition with an effective, practical, data-driven user engagement strategy. You must be consistent, engage with your customer base, and provide more than bare-bones services and products.

If you are unsure how to do these, don’t panic!

The information discussed in this article will help you understand how data-driven marketing will help you improve customer engagement regardless of your industry and target audience.

1.      Set behavioral triggers

Examine customers’ interactions. You will get new perspectives on how to efficiently engage audiences with your brand. When potential customers sign up for a particular mailing list or click on a specific button, their behavior must signal a reaction from your sales team.

Don’t just gather the data. Dig deep and identify the dynamic behavior of your target customers. Identify behavioral outliers, associated contexts, and patterns. Every communication is prompted by “an authentic and accurate reflection of the audience’s current behaviors and requirements.”

Moreover, detect your audiences’ next moves. The traditional practice was to let the sales team study data analytics from a historical perspective. However, for today’s tech-driven marketing, you need analytics that show a forward-looking view. Predicting behavioral patterns results in better marketing tactics and customer engagement.

2.      Pay attention to upcoming market trends

In some cases, data analytics can help marketers predict important industry trends that can alter how the market operates. Because data analytics in marketing serves as a robust tool to make informed assumptions about audiences, you can use it to create more effective marketing objectives while ensuring user satisfaction.

To learn how to effectively predict short- and long-term market trends in digital marketing, consider focusing on important innovations and global events, which form consumer interest.

3.      Use data from social media platforms to further define your ideal buyer personas 

Not only surveys, internal reports, or qualitatives and “traditional ” market research methods; with the appropriate tools, Facebook, Twitter, Instagram (and other social media channels), data analytics can help marketers gain insight into the current online community, which can be used to define your ideal personas.

Applying data analytics tactics to a social community opens additional insight into the types of customers your digital marketing is attracting and helps you define their profiles with data such as; where they’re located, what they’re actively searching or interested in, and more.

4.      Personalize your user experience

Your audience generates data with their preferences and habits. You can use that information—like their abandoned carts, previously purchased items, or browsing behavior —to personalize their touchpoints. Utilize the data to create and send tailored messages to these customers.

Data analytics and business intelligence will help you customize your marketing messaging to resonate with the potential audience.

5.      Invest in your website SEO

Organic traffic includes an audience who gets to your business website through any search engine. Therefore, to guide this traffic, your website must be optimized effectively. The prime aim is for Google’s search engine to recognize that your business website provides the most relevant answers to the audience’s questions.

Moreover, around 63,000+ Google searches are happening every second, and by having the right SEO strategies in place, your brand can compete for a few of those search results.

One of the efficient ways to enhance your SEO strategy is to focus on the target keywords that relate to your brand and the content you want to share with the audience. 

Google’s web crawlers explore every website on the web for certain keywords, general credibility, and user-friendly interfaces. These bots use this information to identify the best answers for each question.

For instance, if you’re writing a blog post or an article about accounting software for nonprofits, consider how people will search and what keywords they will use. If you add the exact keyword correctly in your blog post and answer the question thoroughly, Google will give your blog post a higher rank for relevancy.

 

Top Challenges of Data-Driven Marketing

 

·         Not having essential marketing metrics

Your sales and marketing team can miss some marketing metrics because of a lack of defined goals and process organization.

Ultimately, you get an inaccurate or incomplete picture and can’t get insights or measure your activities. The solution? You must establish the right process or strategy for data tracking to ensure you gather the data aligned with your business goals.

Besides, the alignment in the business strategy, product growth, marketing analytics, and performance is a must.

·         Poor workflow

Managing the workflow is a challenge when it comes to data-driven marketing. It happens because of  the inability to select the right marketing analytics tools and the lack of skills that fit the business needs.

Therefore, you must develop a workflow based on your business needs, human capacity, and current marketing activities.

·         Having data everywhere

Another challenge is having lots of databases, apps, and platforms packed with huge amounts of data. Moreover, this data is often inaccurate or duplicated. Consequently, brands end up with data holes and incomplete records.

To avoid having data everywhere, you must have a responsible team that deals with data access and duplicates, and perform outdated data cleanup sessions regularly.

 

The immensely competitive market has made data-driven marketing a priority for digital marketers who want to earn audiences’ trust. By following the strategies and avoiding the challenges mentioned above, you can improve your ability to gain meaningful insights from data analytics and make your strategies more successful.

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