Timelaps for Retail
Continuous brand tracking for brands winning at retail.
Continuous brand tracking for brands winning at retail.
Whether you are crossing into retail from DTC or you have lived on the shelf for years, the brand decides the basket before anyone reaches it. Timelaps gives retail brands continuous, research-grade brand intelligence: who knows you, who considers you, and who picks the competitor instead, in every market you sell in, at the most accessible price in the category.
Retail leaders know the importance of branding.
The same conversations happen across both the brands entering retail and the ones who built their business there.
Legacy branding tracking is breaking.
Your shoppers decide in the aisle every week. Your tracker reports every few months, on the buyers you already have.
Slow time to value.
Slow time to value.
Slow time to value.
Price tags built for multi-billion
incumbents, not challengers.
Price tags built for multi-billion
incumbents, not challengers.
Price tags built for multi-billion
incumbents, not challengers.
Social buzz mistaken for real,
representative demand.
Social buzz mistaken for real,
representative demand.
Social buzz mistaken for real,
representative demand.
Require additional resources
to make sense of the data.
Require additional resources
to make sense of the data.
Require additional resources
to make sense of the data.
A viral moment you can feel but cannot measure.
A viral moment you can feel but cannot measure.
A viral moment you can feel but cannot measure.
Insights that arrive after the decision.
Insights that arrive after the decision.
Insights that arrive after the decision.
Brand tracking on auto-pilot.
AI-native brand intelligence, built for the pace of modern retail.
Cheaper
5x more accessible than traditional alternatives.
Better
Research-grade insights from 4,000 real consumers.
Faster
Set up in days.
Always-on. Self-updating.
What makes Timelaps different?
What makes Timelaps different?
Timelaps is a modern brand tracking and insight platform designed to replace slower, more expensive traditional agency tracking with always-on insights.
Without Timelaps
Slow. Expensive. Stale.
How traditional brand tracking holds retail teams back.
3-6 months to first insight.
Quarterly updates. Decisions made with out of date data.
Six-figure price tags. Most companies are priced out.
Rigor depends on which analyst you get.
Insights buried in dense PPTs.
With Timelaps
Real-time. Accessible. Always-on.
How modern retail teams actually operate.
Set up in days, not months.
Always-on. Continuous tracking.
At least 5x more affordable than traditional agencies.
Research-grade with the latest brand science built-in.
Board-ready, self-updating dashboard.
Without Timelaps
Slow. Expensive. Stale.
How traditional brand tracking holds retail teams back.
3-6 months to first insight.
Quarterly updates. Decisions made with out of date data.
Six-figure price tags. Most companies are priced out.
Rigor depends on which analyst you get.
Insights buried in dense PPTs.
With Timelaps
Real-time. Accessible. Always-on.
How modern retail teams actually operate.
Set up in days, not months.
Always-on. Continuous tracking.
At least 5x more affordable than traditional agencies.
Research-grade with the latest brand science built-in.
Board-ready, self-updating dashboard.
Without Timelaps
Slow. Expensive. Stale.
How traditional brand tracking holds retail teams back.
3-6 months to first insight.
Quarterly updates. Decisions made with out of date data.
Six-figure price tags. Most companies are priced out.
Rigor depends on which analyst you get.
Insights buried in dense PPTs.
With Timelaps
Real-time. Accessible. Always-on.
How modern retail teams actually operate.
Set up in days, not months.
Always-on. Continuous tracking.
At least 5x more affordable than traditional agencies.
Research-grade with the latest brand science built-in.
Board-ready, self-updating dashboard.
Fast set-up,
ongoing value.
Onboard in days. Get actionable insights from real consumers in your category continuously.
01
Set up your tracker
Our AI analyst and brand research expert co-design your study. Tailored to your brand, category, and market.
02
03
04
Fast set-up,
ongoing value.
Onboard in days. Get actionable insights from real consumers in your category continuously.
01
Set up your tracker
Our AI analyst and brand research expert co-design your study. Tailored to your brand, category, and market.
02
Always-on fieldwork
Your tracker never stops collecting. Quality-controlled responses from 4,000+ real consumers in your category are selected.
03
Continuous insights
Your dashboard self-refreshes monthly with actionable insights and beautiful visualizations.
04
Share & Act
Share a dynamic storytelling dashboard, instead of a stale PDF, directly with your team.
Fast set-up,
ongoing value.
Onboard in days. Get actionable insights from real consumers in your category continuously.
01
Set up your tracker
Our AI analyst and brand research expert co-design your study. Tailored to your brand, category, and market.
02
Always-on fieldwork
Your tracker never stops collecting. Quality-controlled responses from 4,000+ real consumers in your category are selected.
03
Continuous insights
Your dashboard self-refreshes monthly with actionable insights and beautiful visualizations.
04
Share & Act
Share a dynamic storytelling dashboard, instead of a stale PDF, directly with your team.
Why retail brands choose Timelaps.
The moment a shopper can choose you or the brand beside you, brand tracking stops being optional. You will feel it immediately.
See past your own data.
Loyalty files and sell-through only see who already bought. Timelaps tracks the whole market: lapsed buyers, switchers, and the shoppers choosing the brand next to you.
Know your standing before you expand.
Walk into the next wholesale or range review knowing exactly how known and considered you are in each market, instead of betting the expansion on a hunch.
Defend the brand against private labels and discounters.
Watch perception move against the store brand and the discounter in real time, and prove which brand investments hold the line.
The category is ready for the shift.
Retail brands know the shelf is where the brand gets chosen. The moment they leave their own site, they lose sight of whether they're winning it.
60%
60% of brand sales is projected to be done by wholesale, far ahead of brand’s own stores (11%) and websites (6%), pushing brand discovery onto a shelf where you don’t own the data.
Source: Industry analysis, 2025
$100M
$100M of annual sales was reached by Glossier in its first year in wholesale. Brand equity travels to the shelf.
Source: Deloitte, Q1 2025
11%
Only 11% of marketers can comprehensively prove the business impact of their brand marketing
Source: Marketing Week, 2025
FAQs.
Can’t find the answer you’re looking for?
Reach out to our team: hello@timelaps.io.
Can you measure brand funnel metrics like awareness and preference in markets where we have just entered retail?
Yes. That's exactly where we're most useful. We track awareness, consideration, preference, and the rest of the funnel among real shoppers in any market you name, whether you've been there for years or launched last month. You get a baseline from day one and watch it build, instead of waiting for sell-through to hint at it later.
Can you track us against private labels, discounters, and other challenger brands?
Yes. You define the competitive set, and it can mix incumbents, private label, discounters, and fellow challengers. You see how you stack up against each on awareness, consideration, and the perceptions that drive choice, so you know who is actually pulling shoppers from you.
Do you cover omnichannel, so we see how we are perceived online versus in store?
Yes. We can split your read by channel, so you see how shoppers perceive and choose you online versus in store, and where the gaps are. That's how you tell whether a retail launch is building the brand or quietly cannibalizing your own site.
Can you measure Category Entry Points and mental availability?
Yes. We build Category Entry Points into the questionnaire, mapping the moments, needs, and occasions that trigger category buying, then track how easily your brand comes to mind across them. The result is a clear read on your mental availability versus competitors, not just whether people have heard of you.
How is the data collected, and what’s your sample source, size, and representativeness?
We field continuous online surveys through Dynata, a leading global panel. Samples are census-matched on the dimensions that matter, so respondents reflect your real market. On Scale, that's roughly 4,000 responses per category per year, refreshed monthly, so trends are stable and read in near real time rather than once a quarter.
What quality controls and fraud detection do you use?
Every response runs through multiple layers: attention and consistency checks, speeding and straight-lining detection, duplicate and bot screening, and panel-side fraud filters. Low-quality responses are removed before anything reaches your dashboard, so you're acting on clean data.
How do you measure the why behind metric shifts?
When a number moves, the AI Analyst connects it to the underlying drivers: which Category Entry Points, perceptions, audiences, channels, or campaigns shifted alongside it. Instead of only seeing that consideration dropped, you see what moved with it, so you know where to act.
Do you track the full brand funnel and conversion rates between stages?
Yes. We track the full funnel, from awareness to consideration, preference, usage, and advocacy, plus the conversion between each stage. That shows exactly where you're leaking, for example strong awareness but weak conversion to preference, so you fix the right stage.
Do you support multi-country tracking with consistent methodology?
Yes. We run the same methodology across every market, with census-matching applied per country, so results are comparable market to market. Track one region or many, and trust that a move in one country means the same as a move in another.
FAQs.
Can’t find the answer you’re looking for?
Reach out to our team: hello@timelaps.io.
Can you measure brand funnel metrics like awareness and preference in markets where we have just entered retail?
Yes. That's exactly where we're most useful. We track awareness, consideration, preference, and the rest of the funnel among real shoppers in any market you name, whether you've been there for years or launched last month. You get a baseline from day one and watch it build, instead of waiting for sell-through to hint at it later.
Can you track us against private labels, discounters, and other challenger brands?
Yes. You define the competitive set, and it can mix incumbents, private label, discounters, and fellow challengers. You see how you stack up against each on awareness, consideration, and the perceptions that drive choice, so you know who is actually pulling shoppers from you.
Do you cover omnichannel, so we see how we are perceived online versus in store?
Yes. We can split your read by channel, so you see how shoppers perceive and choose you online versus in store, and where the gaps are. That's how you tell whether a retail launch is building the brand or quietly cannibalizing your own site.
Can you measure Category Entry Points and mental availability?
Yes. We build Category Entry Points into the questionnaire, mapping the moments, needs, and occasions that trigger category buying, then track how easily your brand comes to mind across them. The result is a clear read on your mental availability versus competitors, not just whether people have heard of you.
How is the data collected, and what’s your sample source, size, and representativeness?
We field continuous online surveys through Dynata, a leading global panel. Samples are census-matched on the dimensions that matter, so respondents reflect your real market. On Scale, that's roughly 4,000 responses per category per year, refreshed monthly, so trends are stable and read in near real time rather than once a quarter.
What quality controls and fraud detection do you use?
Every response runs through multiple layers: attention and consistency checks, speeding and straight-lining detection, duplicate and bot screening, and panel-side fraud filters. Low-quality responses are removed before anything reaches your dashboard, so you're acting on clean data.
How do you measure the why behind metric shifts?
When a number moves, the AI Analyst connects it to the underlying drivers: which Category Entry Points, perceptions, audiences, channels, or campaigns shifted alongside it. Instead of only seeing that consideration dropped, you see what moved with it, so you know where to act.
Do you track the full brand funnel and conversion rates between stages?
Yes. We track the full funnel, from awareness to consideration, preference, usage, and advocacy, plus the conversion between each stage. That shows exactly where you're leaking, for example strong awareness but weak conversion to preference, so you fix the right stage.
Do you support multi-country tracking with consistent methodology?
Yes. We run the same methodology across every market, with census-matching applied per country, so results are comparable market to market. Track one region or many, and trust that a move in one country means the same as a move in another.
FAQs.
Can’t find the answer you’re looking for?
Reach out to our team: hello@timelaps.io.
Can you measure brand funnel metrics like awareness and preference in markets where we have just entered retail?
Yes. That's exactly where we're most useful. We track awareness, consideration, preference, and the rest of the funnel among real shoppers in any market you name, whether you've been there for years or launched last month. You get a baseline from day one and watch it build, instead of waiting for sell-through to hint at it later.
Can you track us against private labels, discounters, and other challenger brands?
Yes. You define the competitive set, and it can mix incumbents, private label, discounters, and fellow challengers. You see how you stack up against each on awareness, consideration, and the perceptions that drive choice, so you know who is actually pulling shoppers from you.
Do you cover omnichannel, so we see how we are perceived online versus in store?
Yes. We can split your read by channel, so you see how shoppers perceive and choose you online versus in store, and where the gaps are. That's how you tell whether a retail launch is building the brand or quietly cannibalizing your own site.
Can you measure Category Entry Points and mental availability?
Yes. We build Category Entry Points into the questionnaire, mapping the moments, needs, and occasions that trigger category buying, then track how easily your brand comes to mind across them. The result is a clear read on your mental availability versus competitors, not just whether people have heard of you.
How is the data collected, and what’s your sample source, size, and representativeness?
We field continuous online surveys through Dynata, a leading global panel. Samples are census-matched on the dimensions that matter, so respondents reflect your real market. On Scale, that's roughly 4,000 responses per category per year, refreshed monthly, so trends are stable and read in near real time rather than once a quarter.
What quality controls and fraud detection do you use?
Every response runs through multiple layers: attention and consistency checks, speeding and straight-lining detection, duplicate and bot screening, and panel-side fraud filters. Low-quality responses are removed before anything reaches your dashboard, so you're acting on clean data.
How do you measure the why behind metric shifts?
When a number moves, the AI Analyst connects it to the underlying drivers: which Category Entry Points, perceptions, audiences, channels, or campaigns shifted alongside it. Instead of only seeing that consideration dropped, you see what moved with it, so you know where to act.
Do you track the full brand funnel and conversion rates between stages?
Yes. We track the full funnel, from awareness to consideration, preference, usage, and advocacy, plus the conversion between each stage. That shows exactly where you're leaking, for example strong awareness but weak conversion to preference, so you fix the right stage.
Do you support multi-country tracking with consistent methodology?
Yes. We run the same methodology across every market, with census-matching applied per country, so results are comparable market to market. Track one region or many, and trust that a move in one country means the same as a move in another.