Timelaps

Timelaps is an AI-native brand tracking platform for B2C companies, measuring brand health over time with survey-based research and a monthly-refreshing dashboard.

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Overview

Timelaps is an AI-native brand tracking platform for B2C companies that want to measure whether brand marketing is actually working. It combines survey-based brand research with an always-on workflow so teams can follow brand health over time instead of waiting for a one-off report.

The product is built around continuous tracking across a representative consumer sample, with quality-controlled responses from 4,000+ consumers in the category and a dashboard that refreshes monthly. The site positions it as a faster and more accessible alternative to traditional brand trackers, which it says can take months to produce an initial insight and often rely on static PDF reporting.

Timelaps structures its tracking around the brand funnel, Category Entry Points (“moments”), associations, advertising recall, and buyer demographics. Onboarding is described as a co-designed setup with an AI analyst and brand research expert, followed by ongoing fieldwork and a shareable dashboard for the team.

The source materials also show that Timelaps offers Starter, Scale, and Enterprise plans, with pricing listed per region per year for the public plans and custom quotes for Enterprise. Add-ons include extra brands, additional moment blocks, more associations, extra regions, and custom questions.

Core capabilities

Always-on brand funnel tracking

Tracks brand health continuously across the funnel so teams can see whether brand marketing is working over time rather than in isolated snapshots.

Moments and category entry points

Surfaces Category Entry Points, called “moments” on the site, to show the occasions that trigger category consideration and choice.

Association analysis

Measures brand associations so teams can see what people connect with the brand and where perception is changing.

Advertising recall measurement

Highlights advertising recall to help teams understand which marketing activity is moving the needle.

Audience filtering and demographics

Adds buyer demographics and filters for brand users and decision-making style so teams can segment responses meaningfully.

AI-assisted insights and dashboard

Provides executive-ready outputs through an AI analyst and a self-refreshing dashboard with visualizations and storytelling views.

Common use cases

Ongoing brand health tracking
Use the tracker to monitor brand health over time and decide whether campaigns or broader brand activity are improving awareness, preference, or association strength.
Category insight and positioning work
Use Category Entry Points and association data to identify which needs, moments, or cues bring people into the category and how your brand fits those occasions.
Campaign impact review
Use advertising recall and monthly dashboard refreshes to review recent brand activity and understand whether marketing is being remembered by consumers.
Audience segmentation analysis
Use buyer demographics and filters to compare responses across segments, including brand users and different decision-making styles.
Team reporting and stakeholder updates
Use the dashboard and shareable outputs to brief stakeholders with current brand intelligence instead of static PDFs.

Pros and Cons

Pros

Continuous tracking replaces one-off studies with a monthly self-refreshing dashboard.
The product uses quality-controlled responses from 4,000+ consumers in the category.
Setup is positioned as collaborative, with an AI analyst and brand research expert co-designing the study.
The pricing page presents packaged plans and add-ons, which makes the commercial model relatively clear.
The site provides a structured methodology focus, including survey design, sample size, and tracking best practices.

Cons

Public pages do not spell out a complete integrations list, so buyers cannot verify connector coverage from the site alone.
Some operational details, such as exact go-live timing, sample quotas by plan, and customization limits, are only partially disclosed in public materials.

FAQ

How does Timelaps work after setup?

Timelaps is built for continuous brand tracking rather than one-off research projects. The source materials describe an onboarding process where Timelaps’ AI analyst and brand research expert co-design the study, then the tracker keeps collecting responses over time and refreshes the dashboard monthly.

What markets or regions does Timelaps cover?

The source describes brand-specific tracking for B2C companies, with the study tailored to the brand, category, and market. Pricing is organized by region, which suggests studies are scoped geographically, but the exact market coverage should be confirmed with the team.

How is Timelaps priced?

The pricing page says Timelaps offers Starter, Scale, and Enterprise plans. It also states that the product is more accessible than traditional alternatives, with annual pricing shown on the page and custom quotes for Enterprise.

How is Timelaps different from social listening tools?

The site positions Timelaps as distinct from social listening and brand monitoring tools because it measures category buyers through survey-based tracking rather than public posts alone. Its blog also emphasizes that brand tracking is a recurring research process that compares perception over time.

Can the tracker be customized?

The pricing page includes questions about customization and add-ons, and the product pages describe a co-designed setup and custom questions in the tracker. That indicates the study can be tailored, but the exact customization limits are not fully specified in the public content.