Most "where to buy" pages show customers where to find your products - and nothing else. Every search disappears. Mapular Custom Store Locator captures every search as a data point: which city, which product, which retailer. The analytics dashboard shows where demand is growing and where your distribution has gaps. Brand-native design. Product availability filtering. Pre-filtered campaign URLs. Store Data API: Your store data as JSON β for SEO and AI Live on any website in days via script tag.
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Maker
π
Hey there π Sarah from Mapular here.
We built Mapular Custom Store Locator because we kept seeing the same problem: brands spend serious money on their website, then send customers to a generic Google Maps embed for their "where to buy" page - and learn nothing from it.
Every search on that page is a signal.
Which city? Which product? Which retailer?
That data should be driving distribution decisions. Instead it was disappearing.
So we built a store locator that captures it all
- demand by region, product, and retailer
- and makes it actionable.
A few things we'd love your feedback on:
β Does the analytics angle resonate, or is design/embed simplicity the bigger pain point?
β Which verticals do you think benefit most from this?
Happy to answer any questions about the product, the tech stack (Mapbox + script tag embed), or how the demand analytics work in practice.
Thanks for checking us out! πΊοΈ