Datashake

Market research used to take months. You'd hire a firm, recruit participants, wait for a report that was already out of date by the time it landed. Meanwhile, your customers were writing unprompted, detailed opinions about your product, your competitors, and your category – in real time, for free, in their own words, across hundreds of platforms. Not only once, but all the time. That's effectively the largest collection of unsolicited consumer feedback that's ever existed. 👏 The hard part has always been access: pulling all of that together across review sites, forums, communities, and social platforms into something actually usable. That's what Datashake solves. One integration, 150+ sources, structured and clean. The data exists. The question is whether you're reaching it. #ConsumerInsights #MarketResearch #SocialData #VoiceOfCustomer

Datashake in one sentence: We give teams access to the social data their current setup is missing – across 150+ source types, via a single API, without the infrastructure headache of building it themselves. #SocialData #DataInfrastructure #SocialListening

There are now 5.66 billion active social media identities worldwide. The average user is active on 6.75 platforms every month. The conversation is more spread out than it's ever been. And yet most social intelligence setups are still built around two or three platforms. Maybe four. 🔴 Audiences fragment 🔴 Conversations about the same topic happen differently across different platforms – different language, sentiment, and context 🔴 What looks positive on one platform looks frustrated on another. If your social data coverage doesn't match where your audiences actually are, you're not getting a complete picture. #SocialData #DataCoverage #SocialIntelligence #MarketResearch

The social listening market is projected to nearly double by 2031. That’s more investment, more tools, and more teams treating social intelligence as a core capability. But there’s an issue that will define which teams actually get value from that investment ⬇️ ⚠️ Social intelligence is only as good as the data underneath it. You can have the best AI models. The most sophisticated dashboards. The most experienced analysts. None of it works if the underlying data is missing conversations, gaps in platform coverage, or running on a 48-hour delay. We've seen teams spend significantly on social listening tools and still miss major brand events. Because the tool's coverage didn't extend to the platform where the conversation started. 👀 Before evaluating any social intelligence capability, the first question should be: what is the actual data coverage behind this? 1️⃣ Which platforms 2️⃣ How complete 3️⃣ How fresh 4️⃣ What happens when a platform changes its access rules. Get that right first, and everything else follows. 👏 #SocialListening #SocialData #DataInfrastructure #MarketIntelligence

Would you trust a market research report based on 23% of your target audience? Probably not. But that's what happens when your social data comes primarily from one platform. The sentiment, trends, and competitive signals: they're all shaped by one demographic slice. We built a simple test for this, and it takes 30 seconds. Swipe through ⬇️ Full framework in our 2026 Social Data Coverage Report – link in comments. #SocialListening #DataQuality #SocialData #DataCoverage

About half of all social media users say they want to spend more time in community-driven spaces. ➡️ Discord, Telegram, private subreddits, WhatsApp groups, niche forums. That's where the most honest product conversations are happening: the ones where people say what they think because they're not talking to the brand. As people get more selective about where they have real conversations online, more of the signal that matters is moving into places that tools can't reach. What this looks like in practice: 👀 Your share of voice metrics are measuring the visible tip. The frustration that turns into churn, enthusiasm that drives word of mouth, comparisons people are making before they make a decision – that's often happening somewhere your queries don't go. In our book, there’s a lesson here in being honest about what your coverage picture looks like, rather than treating your current data as unconditionally complete. Our approach here: always question where your data begins and ends, and design your research around that reality. 🙏 If you want a clearer picture of where the gaps are across platforms, we put together the 2026 Social Data Coverage Report for exactly this reason. Link in comments. #SocialIntelligence #DataCoverage #SocialListening #ConsumerInsights

Do you know what percentage of your social data comes from a single platform? If not, you're not alone. Most teams don't. But it matters. A lot. Because if 80% of your data comes from one source, then 80% of your trend detection, sentiment analysis, and competitive intelligence reflects one platform's audience. Here are 5 simple steps to evaluate your coverage before your next renewal. Swipe through ↓

"Our sentiment is mostly positive” ➡️ that's where most social listening analysis stops. But positive sentiment from which platforms? From which demographics? About which product features? Compared to what benchmark? Social data has the potential to reveal customer needs, emerging trends, competitive shifts, and behavioural patterns that no other data source can match. The problem is how shallow teams go with the data. Here's a simple test: if your social media report looks the same every week – same metrics, same format, same conclusions – you're probably only scratching the surface. The most valuable insights live in the patterns you haven't been tracking yet. Link in comments → our blog on why most social media data is incomplete, and what to do about it. #SocialListening #DataCoverage #SocialData #MarketResearch

Building social media data infrastructure seems simple. Six months, and three engineers later –  you've got data flowing from major platforms. Everything works. Then a platform changes its structure overnight. Another kills an endpoint you depend on. Each change needs engineering time to fix. What looked like a one-time project becomes permanent maintenance work. ⚠️ Teams budget for the build ⚠️ Nobody budgets for the maintenance ⚠️ Engineers spend 40% of their time firefighting infrastructure ⚠️ Features get delayed. People burn out. Every hour fixing APIs is an hour not building what customers actually want. Smart teams use infrastructure for the baseline. Build custom only for what truly differentiates them. Where does your team fall? ⬇️

Another exciting update from us: our new and improved Social Media APIs are now live. ⭐ We built these based on every frustrating conversation we've had over the past year. ❔ "Can you cover this platform?" Not yet.  ❔ "Can the search handle boolean queries?" Not really.  ❔ "Can we get daily refreshes instead of weekly?" Not easily. So we rebuilt everything. Now Datashake gives you coverage across all major social media & online review platforms. Search by keywords, hashtags, boolean queries, account tracking. Historical data or fresh pulls on your schedule. All through one endpoint instead of juggling different tools. We're walking teams through it now. Bring us your use case, we'll show you how it works and talk through the details on pricing and setup for your workflow. Message us or drop a comment. 💬