The Macro: Marketing Measurement Is Broken for Everyone Who Isn’t Procter & Gamble
Here’s the uncomfortable truth about brand marketing: most companies spending real money on it have no reliable way to know if it’s working. Not in any timely sense, anyway.
Traditional brand tracking, the kind that tells you whether consumers are aware of your brand, considering it, buying it, and staying loyal, has historically been the exclusive territory of large enterprises. We’re talking custom research projects that cost hundreds of thousands of dollars, take months to design and field, and arrive as a 90-slide deck two quarters after the campaign they were supposed to measure has already ended.
The firms doing this work are mostly legacy research agencies. Think Kantar, Nielsen, Ipsos. They built their methodologies for a slower media era, when brand signals moved gradually and the people commissioning the research had teams to process the output. That model does not translate well to a mid-sized DTC brand running campaigns across six channels simultaneously.
There’s a broader pressure building here. According to marketing industry data, high-growth firms are devoting an estimated 12% of revenue to marketing, compared to roughly 5% for no-growth firms. That’s a meaningful spend difference, and the accountability gap that comes with it is real. Spending more without a credible measurement system is just running faster in the dark.
A few newer players have tried to address pieces of this. Attest and Brandwatch offer faster survey-based research and social listening respectively, but neither delivers the full funnel brand health picture at continuous cadence. Tracksuit, a New Zealand company, has made noise specifically in the brand tracking space for SMBs. The category is genuinely moving.
What nobody has fully cracked is combining research-grade methodology, real consumer panels, competitive benchmarking, and real-time updates into something a marketing team of five can actually use. That’s the gap Timelaps is positioning itself to fill.
The Micro: 4,000 Real Consumers, One Dashboard, No Six-Month Wait
Timelaps is a continuous brand tracking platform. That sentence sounds simple. The interesting part is what it means operationally.
The product collects responses from a panel of 4,000-plus real consumers in your target demographic, on an ongoing basis. Not a one-time survey. Not social listening scraped from Twitter. Actual primary research, running continuously, feeding a live dashboard. The founders describe it as research-grade tracking rebuilt for modern marketing teams, and the background gives that claim some weight: according to their LinkedIn profiles, co-founders Harry Zhang and Henk Pretorius both have deep backgrounds in brand research. Pretorius previously co-founded Columinate, a research firm that was acquired, and Zhang describes Timelaps as the first continuous research-grade brand tracker of its kind.
The dashboard tracks awareness, consideration, purchase, and loyalty. It shows how a brand compares to competitors at each stage of that funnel. There’s a feature for identifying which buying situations a brand owns versus where it’s losing ground. Another layer surfaces brand associations, what imagery and attributes consumers connect with a specific brand versus its competitors.
The value proposition versus agencies is framed as 5x more affordable. I can’t independently verify that number, but the structural argument makes sense. Removing the bespoke project model, automating data collection, and delivering via software rather than consulting hours should produce meaningful cost savings.
The AI angle here is less about generative text and more about synthesis. The promise is that the system tells you what changed, why, and what to do next, without requiring a researcher to manually interpret the data. That’s the pitch against the deck-heavy agency model.
It got solid traction when it launched, finishing the day as a top-ranked product. Chris Messina, credited with inventing the Twitter hashtag, is reportedly backing the company, according to a LinkedIn post from Pretorius.
The live demo is accessible on their site. I’d suggest spending fifteen minutes there before forming a strong opinion.
The Verdict
I find this genuinely interesting, and I want to be precise about why.
The problem is real. The incumbents are genuinely too slow and too expensive for the companies that most need brand measurement. The founders have authentic domain credibility, not just startup founders who read a few industry reports and decided to build something. That combination matters more in research-adjacent products than in most software categories, because methodology trust is a real purchase consideration.
The risk I’d flag is the same one that follows any platform promising both rigor and affordability: at some point those two things are in tension. Continuous panels cost money to maintain. If the pricing holds, I’d want to understand what’s being optimized away, panel size, sampling depth, response quality, or something else.
I’d also want to know how they handle categories with niche audiences. A 4,000-person general consumer panel works fine for a mass-market brand. It’s less obvious how it handles B2B or highly specialized verticals.
The 30-day question is whether marketing teams trust AI-synthesized brand data enough to act on it without a researcher in the loop. The 90-day question is whether the price point actually holds once they’re past early adopters. Plenty of AI-assisted marketing tools are competing for the same budget, and the ones that survive tend to be the ones that make someone’s job measurably easier rather than just more automated.
Timelaps has a real shot. The category timing is right.