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Using social media as a data collection tool — social intelligence — is considered an important growth factor by 93% of industry professionals, but just 36% use it regularly to inform business decisions outside of marketing, according to research from Sprout Social.
This leads to data silos that prevent important insights from reaching the right department.
"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. 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." — Brittany Hennessy, VP of social intelligence evangelism, Sprout Social
Method: "The Intelligence Gap" is based on 705 social media professionals in the U.S., U.K. and Australia, with data collected by research firm Panoplai between Feb. 20 and March 16.
Social media can be a treasure trove of consumer data, but figuring out how to collect, use and apply it is difficult. Sifting through the sheer volume and identifying what is of actual value is an arduous and imprecise task.
On social media, a few negative comments from a small group of people can overshadow everything else and skew brand perceptions.
This is where something like AI can be useful to sort through the noise.
"Especially when you are in the middle of a crisis with a brand, you tend to respond to things in a very general way. And sometimes you can make it worse… the best course of action might be no action at all."
What respondents experienced in the past 12–24 months due to misuse of consumer insights:
| Outcome | Share |
|---|---|
| Didn't react to or completely missed cultural shifts | 33% |
| Missed early signals of changing consumer preferences | 31% |
| Escalated customer issues that could have been solved earlier | 26% |
| Delayed product or messaging changes | 24% |
| Lost market share to a competitor | 21% |
Social intelligence can be faster than traditional research — 74% say they receive insights faster via social media.
But confidence is lacking.
| Level | "Extremely confident" the organization uses social intelligence to its full potential |
|---|---|
| Owner or founder | 43% |
| Director level and above | 25% |
| Managers | 13% |
| Individual contributors | 10% |
| Overall | 17% |
Additionally, 23% say social media is viewed by their organization as a communications channel, not a data collection tool.
Measurement ownership and data transparency remain a key focus for the industry, and 13% say organizational silos between departments keep social data out of strategic decisions.
Who owns social intelligence:
| Department | Share |
|---|---|
| Social media team | 29% |
| Data and analytics | 17% |
| Wider marketing team | 15% |
| Communications | 10% |
| Insights and research | 10% |
| Corporate strategy | 9% |
| Product team | 5% |
| Shared responsibility | 6% |
| Department | Actively uses data collected via social media |
|---|---|
| Marketing | 62% |
| Customer experience | 41% |
| Corporate strategy | 29% |
| Product | 28% |
| Research and development | 18% |
| Investor relations | 15% |
"I don't think we have a measurement crisis. 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."
Frame it as a translation problem, not a measurement crisis. Hennessy's diagnosis summarises the whole report: collecting more data is not the fix.
Name the receiving department first. Usage falls from 62% in marketing to 18% in R&D and 15% in IR. Without deciding who gets what, no tool resolves the silo.
Note that only 6% call it a shared responsibility. 29% assign it solely to the social team — and what one team owns does not leave that team. That is the structural cause of the silo this report describes.
Read the 43% vs 10% confidence gap as a reporting-line problem. Owners believe it is working; practitioners do not. The gap is itself evidence that insight is not travelling upward.
Put "no action" on the options list. The warning that a generic crisis response can make things worse matters operationally — one legitimate use of social data is finding grounds not to respond.
Fix the org chart first. Channel-level ownership blocking collaboration is the same failure described in SEO and PPC Alignment Starts With Your Org Chart.
Design for a worsening signal-to-noise ratio — see Can Social Media Survive the Flood of AI Content?.
In Sprout Social's research, 93% of industry professionals consider social data collection important for growth, but just 36% use it regularly to inform business decisions outside marketing.
Over 12–24 months, 33% missed or failed to react to cultural shifts, 31% missed early signals of changing preferences, 26% escalated issues solvable earlier, 24% delayed product or messaging changes, and 21% lost market share to a competitor.
Social media team 29%, data and analytics 17%, wider marketing 15%, communications 10%, insights and research 10%, corporate strategy 9%, product 5% — with only 6% calling it a shared responsibility.
Marketing 62%, customer experience 41%, corporate strategy 29%, product 28%, R&D 18% and investor relations 15% — dropping sharply outside marketing.
Sprout Social's Brittany Hennessy calls it a translation issue rather than a measurement crisis: the information and metrics exist, but without knowing what they mean and who else in the organization should care, the data has no context.
To apply what you just read to your own site, start with a free audit of where things are now.
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