Being data-driven is a huge buzzword in the business world these days. Everybody is talking about how artificial intelligence will be revolutionizing the way things are done, and Big Data is allowing companies to make accurate predictions and smarter decisions.
Being data-driven has some stellar measurable benefits as well. According to a study from McKinsey & Company, businesses that have successfully integrated data into their strategies are 19 times more likely to turn a profit. They are also 23 times more likely to attract a higher number of customers than organizations that do not have data as a top priority.
Of course, data is equally, if not more important for online businesses. Since e-commerce businesses have no personal interaction with customers, it is essential that every decision and strategy is backed up with strong datasets.
So, how can online businesses ensure that they are highly data-driven?
Let’s discuss.
Be Smarter with the Research Process
Audience analytics is an on-going process for e-commerce businesses; one that is never truly complete. Whether you have yet to launch your store or you’ve been operating for years, knowing your customer’s preferences, needs, and desires will always be a top priority. Analyzing your audience is one of the secrets to a successful online sales strategy, so incorporating AI and machine learning makes this step much easier to do.
For instance, Big Data systems can be combined with traditional datasets, such as market research surveys, to quickly and accurately assess generalized consumer data and draw predictions. Machine learning can take your data collection a step further by identifying further insights and creating actionable sets of information.
It is often fairly easy to identify the largest customer segments, but smaller subsets and niche audiences may be harder to spot. This is where machine learning comes in. This technology can gather better, deeper insights into your audience by gathering behavioral data and making connections that most analysts would never see on their own. The combination of machine learning with data analytics allows marketers to have a much better look at who makes up their target audience.
Let Your Data Streams Drive Content Creation
SEO is essentially the lifeblood for a healthy online business. It funnels in customers who are searching for products or information on the web; any weaknesses in this strategy can have harsh repercussions in relation to the online visibility of the business.
Good marketers use data and research to uncover the keywords that are driving the highest traffic to their website and incorporate them into their content to attract more customers. AI-powered systems can help to spot these trends that could be beneficial in guiding your content creation strategies. This is especially important for online brands that want to incorporate personalization into their content. Since AI can create more accurate customer analysis reports, it can also assist teams in terms of hyper-personalization and targeting with their content.
For example, by tracking a customer’s behavior, AI can target them with content along each step of the buyer’s journey until they are ready for a purchase. This ensures that your marketing content will be seen by the right people at the right time, therefore increasing its effectiveness in terms of conversions.
Be 100% Sure About Your Ad Spending Decisions
According to research conducted by Forrester, digital ad spending is expected to increase by 70% by 2021. For small to medium sized online businesses, this means that an even larger portion of the revenue will be funneled into marketing. While using data may not necessarily decrease the amount that is spent on digital ad space, it can ensure that your efforts are worth the money.
By using analytical approaches, you can see exactly where your ads are generating the highest return. These datasets can guide your efforts towards the platforms and strategies that are driving the highest number of customers. Even using a simple Google Analytics report can help identify the traffic sources that are performing best, such as social media, online reviews, referral traffic, or organic searches.
Once again, smart data systems are crucial for more efficient ad spending and placement. By using an AI or machine learning analysis system, your marketing team will be able to target specific segments of audiences where they are most likely to engage, like social media or paid ads.
Understand that Tech Solutions Are Not One-Size-Fits-All
While becoming more data-driven is almost essential for every type of business – regardless of its size or industry – not all tech solutions are created equal. Some systems will work just fine for smaller entities that sell to a certain niche audience, whereas larger companies may need more robust platforms to help them become more data-driven.
Thankfully, there are plenty of options available for online businesses today, so you can essentially pick and choose the features that are best for your business. As you look for business intelligence tools, be sure that you have identified the top goals that you want to reach through this technology. This will help you narrow down the options and find the tools and platforms that will best serve your needs.
Conclusion
Becoming a data-driven online company should be a top priority in today’s modern business world. Strong datasets and accurate analysis are essential ingredients for a better marketing strategy and a successful operation. Thankfully, becoming data-driven is easier than ever with technology tools like AI, machine learning, and BI becoming more accessible for businesses to use.
Online businesses that can use data correctly will be able to understand their audience, and therefore, be able to create content and targeted ads that are highly effective.
