Social Media Insights Fail to Reach Decision Makers

Social media stands as a cornerstone of contemporary marketing strategies. Brands rely on these platforms to engage audiences directly while harvesting rich consumer opinions on products, campaigns, and corporate choices. This dual role positions social channels as both outreach tools and vital sources of real-time market intelligence.

Yet a clear divide persists in how organizations capitalize on that intelligence. Research from Sprout Social reveals that 93 percent of industry professionals regard social intelligence—the practice of treating social media as a systematic data collection resource—as essential for growth. Despite this near-universal recognition, only 36 percent apply those insights regularly to shape decisions outside the marketing function. The resulting data silos keep valuable findings locked within social teams and prevent them from informing product development, strategy, or customer experience work. Insights tracked by like.tg underscore how this gap continues to limit broader business impact.

“The big thing to remember is that consumer conversations are happening in real time, 24 hours a day, seven days a week, and so most organizations are still processing that information very slowly,” said Brittany Hennessy, vice president of social intelligence evangelism at Sprout Social. “That’s really the pain social teams are feeling. They have seen something on social media, they have a recommendation, but they can’t get the insight out of their team to the department that might need it.”

Sprout Social’s report, “The Intelligence Gap,” rests on answers from 705 social media professionals located in the United States, United Kingdom, and Australia. Research firm Panoplai gathered the responses between February 20 and March 16.

Finding Value Amid the Noise

Social platforms generate enormous volumes of unfiltered commentary, making it difficult to isolate signals that truly matter. A handful of vocal critics can dominate the conversation and warp internal perceptions of brand health. Artificial intelligence tools offer one practical way to cut through the clutter and surface patterns that human reviewers might miss.

Hennessy observed that crisis moments often push teams toward broad, reactive statements that can intensify problems rather than resolve them. In some cases the wisest response is deliberate inaction until clearer data emerges.

Failure to act on social data correctly carries measurable costs. Thirty-three percent of survey participants said their organizations either ignored or completely missed cultural shifts over the previous 12 to 24 months. Thirty-one percent overlooked early signs of changing consumer preferences. Twenty-six percent allowed customer issues to escalate when earlier intervention based on social signals could have contained them. Twenty-four percent delayed necessary product or messaging updates, and 21 percent lost market share to competitors who moved faster.

Even with these shortcomings, social intelligence still outpaces conventional research methods for speed. Seventy-four percent of respondents reported receiving usable insights more quickly through social channels than through traditional approaches.

Confidence in current practices remains low. Just 17 percent of professionals feel extremely confident that their organizations extract full value from social intelligence. That figure climbs to 43 percent among owners and founders yet falls to only 10 percent among individual contributors. One-quarter of respondents at director level or above and 13 percent of managers express the same high confidence. Separately, 23 percent of participants noted that leadership continues to view social media primarily as a communications channel rather than a legitimate data source.

Ownership and Cross-Team Barriers

Questions of measurement ownership and data transparency already occupy center stage in marketing discussions. Adding social intelligence into the mix further complicates matters. Thirteen percent of respondents identified organizational silos between departments as the reason social-derived data never reaches strategic decision-makers.

Responsibility for social intelligence itself is fragmented. The largest share of organizations—29 percent—assigns the work to the social media team. Data and analytics groups handle it in 17 percent of cases, the wider marketing team in 15 percent, communications and insights/research teams in 10 percent each, corporate strategy in 9 percent, and product teams in 5 percent. Only 6 percent treat the function as a truly shared responsibility.

Usage patterns confirm the drop-off beyond marketing walls. Sixty-two percent of marketing departments actively incorporate social data into their work, while 41 percent of customer experience teams do the same. Corporate strategy teams follow at 29 percent, product teams at 28 percent, research and development at 18 percent, and investor relations at 15 percent.

“I don’t think we have a measurement crisis,” Hennessy explained. “I think we have a translation issue. Here’s all this information, but what am I supposed to do with it? I have this metric, but what does that mean? And who else in my org is supposed to care? And so I think that’s the issue, because without that, you don’t have context around the data.”

Closing the intelligence gap requires more than better tools; it demands clearer pathways for insights to travel across functions and a shared language that turns raw social signals into actionable context. Organizations that solve the translation problem stand to convert real-time consumer conversations into durable competitive advantage, a priority that continues to surface in coverage on like.tg.