How Data Can Improve Your Business’s Social Media Marketing
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How Data Improves Your Social Media Marketing
Use audience insights, customer records and campaign results to make more informed social media marketing decisions.
Written by:Mark Fairlie,Senior Analyst
Editor verified:Sandra Mardenfeld,Senior Editor
Last Updated Oct 29, 2026
Business.com earns commissions from some listed providers.Editorial Guidelines.
Table of Contents
Social media data can help you decide what to publish, where to spend your advertising budget and what audience you want to reach. By combining platform analytics with website activity and customer records, you can see which campaigns attract attention and which lead to sales. Artificial intelligence (AI) tools can then use that data to create response-driven ad copy that reduces brands’ cost per lead or sale.
Below, we’ll examine big data’s impact on social media marketing and share a step-by-step approach to building a strategy for your company.
Common big data mistakes to avoid
Avoid these pitfalls when you’re using big data to drive your social media campaigns.
Being overwhelmed by data
Too much data can overwhelm a company and hinder decision-making. Wong advised against tracking every possible metric. “A common mistake I see is businesses using too much data without focus,” he said. “Instead of tracking every metric, companies should identify KPIs [key performance indicators] that align with their specific goals. This focus leads to actionable insights rather than overwhelming data noise.”
Ignoring what your audience is telling you
A failure to take cues from your customers can damage your marketing efforts. “Common mistakes businesses make include ignoring audience insights, failing to adjust strategies based on recent performance, and making adjustments too quickly,” Russell said. “To avoid these pitfalls, businesses should focus on meaningful metrics, like conversion data and audience behavior, while regularly refining their strategies through A/B testing and performance monitoring for better results.”
Relying too much on automation
Thirmal cautioned against over-automating processes at the expense of personalization.
“Automation tools are fantastic for scaling, but customers may feel disconnected or overwhelmed if there’s no personalization or human touch,” he said. “To avoid these pitfalls, businesses should focus on the data that drives their business goals — such as sales or engagement depth — and ensure that automated responses are personalized enough to maintain genuine customer relationships.”
Not paying attention to trends
Businesses should track trends and use them in their social media marketing. “Companies are now using AI technologies that can monitor large volumes of data and provide personalized recommendations automatically,” said Paul Kelly, founder of SEO for Startups. “Another trend is social commerce, which is gaining popularity, where picture-oriented platforms such as Instagram and TikTok have become helpful marketing tools with a lot of buying activities. Using both of these developments will position brands very well in the future.”
Overlooking data permissions and quality
Review how customer data was collected before uploading it to an advertising platform or connecting it to another tool. Meta, for example, requires advertisers using customer list matching to have the necessary rights, permissions and lawful basis. Check the rules that apply to the data and markets involved, honor opt-outs and limit access to customer records.
Remove duplicate records and check dates, missing values and inconsistent campaign names before comparing results. Keep sensitive customer details out of general-purpose AI prompts unless your organization has approved that use and the tool’s handling of the data.
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