Socialpruf is a Toronto-based social intelligence platform built around the premise that creator performance should be evaluated using live data, not static snapshots. Founded in 2025, the technology is designed to sit between creators, agencies, and brands, providing real-time visibility into growth, historical performance, brand collaborations, and engagement trends as they unfold.

Rather than functioning as a traditional reporting or discovery tool, Socialpruf positions itself as an operating layer for the creator economy that replaces PDFs, screenshots, and disconnected spreadsheets with a continuously updated performance context for negotiations, active campaigns, and internal decision-making.

“We weren’t trying to build another reporting tool,” says Jeremy Roach, one of Socialpruf’s founders. “We wanted to build something you can actually work inside of, where the data is live, digestible, and useful in the moment decisions are being made.”

Image: Socialpruf dashboard

The platform is closely tied to Jeremy’s own experience inside the creator economy. Before launching Socialpruf, he worked across brand and agency environments, including roles at Viral Nation and Cuts Clothing, where he managed partnerships and evaluated creator performance firsthand. In those roles, he routinely encountered a disconnect between how creators presented their value and how brands were forced to verify it, often through separate tools, screenshots, or one-off reports.

“Influencer content doesn’t stop working when the post goes live,” Jeremy says. “It lives forever. But most reporting is still built around snapshots.”

Socialpruf began as an internal system initially built in Google Sheets to track links, impressions, and performance velocity in real time. Today, the same real-time foundation underpins how Socialpruf is used across the ecosystem, from creators presenting their value, to agencies managing scale, to brands validating performance before committing budget.

Creators: From Static Media Kits to Live Performance Narratives

For creators, Socialpruf functions as a real-time media kit and performance hub. Instead of relying on PDFs or screenshots that can become outdated within days, creators can surface live growth rates, historical performance, brand collaborations, and engagement metrics during active conversations with partners.

“It gives creators a clearer story around their value,” Jeremy says. “You’re not just saying, ‘Here’s my follower count.’ You’re showing how you’ve grown, what your content actually delivers, and how you compare within your category.”

He notes that the benchmarking layer is particularly important. Creators can load peer accounts into the platform to see what’s working across their niche, compare performance trends, and understand how their metrics stack up. In that context, Jeremy says, negotiations change. “When you know where you sit relative to others, you negotiate with more confidence and with more credibility.”

Creators also gain visibility into something many rarely track on their own: whether they are actually growing. 

“A lot of creators don’t even know if they drove more impressions this year than last year,” Jeremy notes. “Not because they don’t care, but because the tools haven’t made that easy to see.”

Agencies and Talent Managers: A Single Source of Truth

For agencies and talent managers, the value proposition shifts from individual validation to operational scale. Socialpruf is used as a centralized system to manage multiple creators, campaigns, and clients without juggling spreadsheets, screenshots, and disconnected dashboards.

“Everything lives in one place,” Jeremy says. “You can track multiple creators at once, monitor live campaign performance, and generate clean, client-ready reports without rebuilding them every time.”

Jeremy points out that the real-time layer becomes especially valuable during sales calls and negotiations. Agencies have used Socialpruf mid-conversation to validate performance claims, address objections, or benchmark creators on the spot. “That was one of the first moments where we knew we were solving a real problem,” Jeremy says. “Not just analytics, but decision-making in real time.”

For larger teams, he adds, the platform also functions as a lightweight project and performance management layer, keeping internal stakeholders aligned without adding more operational complexity.

Brands: Replacing Gut Feel With Verification

On the brand side, Socialpruf is primarily used as a validation tool. Rather than relying on self-reported metrics or assumptions, teams use the platform to answer a consistent set of questions:

• Are these numbers accurate and credible?
• Is this creator actually growing, or have they plateaued?
• Who have they worked with recently, and how did those campaigns perform?
• How do they compare to others in the same category?

“Brands use Socialpruf to validate what they’re being told,” Jeremy says. “It gives immediate visibility into performance trends, brand history, and real engagement, so decisions are based on data, not gut feel.”

That visibility also helps limit false assumptions. Jeremy points to cases where brands believed competitors were outperforming them organically, only to discover those gains were driven largely by paid amplification. 

“Without benchmarking, you’re guessing,” he says. “And guessing is expensive.”

Transparency as a Product Principle

One of Socialpruf’s key characteristics is its approach to transparency, particularly regarding metrics such as earned media value (EMV). Rather than treating formulas as proprietary black boxes, the platform allows users to see and customize how metrics are calculated.

“I never understood why EMV formulas were proprietary,” Jeremy states. “They shouldn’t be. They should be subjective. Different brands have different goals.”

He says that a sports brand capturing ambient content, for example, may accept a lower CPM than a creator with a highly engaged, niche audience. Socialpruf exposes those trade-offs rather than obscuring them. Engagement rate calculations, growth metrics, and performance benchmarks are all surfaced with clear methodology.

“We’d rather give factual information than let people make assumptions,” Jeremy says. “That’s how you raise the level of conversation across the table.”

From Vetting to Discovery

While Socialpruf is already being used as a vetting and auditing tool for long-term partnerships, Jeremy sees discovery as the next major frontier. The platform is currently expanding toward portfolio views and search functionality that allow users to explore performance at the individual post level.

Upcoming features include dynamic portfolio links that aggregate dozens of live reports into a single view, and a searchable feed that lets users track posts, topics, and emerging creators directly on the platform.

“The eventual solution is discovery,” Jeremy says. “Right now, we give you an MRI of an account instead of an ultrasound. As the data set grows, what you can do with that becomes endless.”

The goal is not just to find large creators, but to surface “hidden gems,” i.e., accounts with strong growth, engagement, and relevance that traditional discovery tools often miss.

Early Signals of Product-Market Fit

Since launching publicly, Jeremy notes that Socialpruf’s growth has been largely organic. The most consistent feedback, he says, has centered on speed and clarity. Users report being able to answer questions in minutes that previously took hours, or couldn’t be answered at all.

Those moments, especially when the platform is used live in negotiations or client meetings, have reinforced the original thesis. 

“We realized we weren’t just building analytics,” Jeremy says. “We were solving a decision-making problem.”

As expectations around creator performance and reporting continue to rise, particularly for larger, long-term deals, Jeremy believes real-time data will become table stakes rather than a differentiator.

“Stop relying on static data,” he says. “Social moves fast, and decisions based on outdated screenshots or one-off reports will always lag behind reality. The teams that win are the ones making decisions based on live, comparable, and transparent data and building systems that scale as their creator programs grow.”

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