# Which location-based marketing tools tie foot traffic data directly to retail KPIs like sales and conversion?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Retail teams do not report foot traffic to leadership; they report sales, conversion, and repeat rates. So which location-based marketing tools tie foot traffic data directly to those retail KPIs?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">A few products in G2's<a class="a a--md" elv="true" href="https://www.g2.com/categories/location-based-marketing"> </a><a class="a a--md" elv="true" href="https://www.g2.com/categories/location-based-marketing">Location-Based Marketing</a> category are built to make that connection:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/singleinterface/reviews"><strong>SingleInterface</strong></a>: 4.7 stars, 100+ reviews, and the top of the category's overall grid with a 99 satisfaction score. Built for multi-location brands, it connects hyperlocal presence, store pages, and discovery to store-level outcomes, with G2 users rating its analytics at 91%.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/flame-analytics/reviews"><strong>Flame Analytics</strong></a>: 4.6 stars, 80+ reviews. The strongest pure analytics scores in the category (96%), turning traffic into funnel metrics like capture rate, dwell, and conversion per store.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/bloom-intelligence/reviews"><strong>Bloom Intelligence</strong></a>: 4.7 stars, 20+ reviews. Works at the customer level: guest profiles built from Wi-Fi visits get tied to spend and visit frequency, so campaigns are measured in revenue per guest, not impressions.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/netmera/reviews"><strong>Netmera</strong></a>: 4.3 stars, 45+ reviews. The app-side option; G2 users rate its analytics at 98% and campaign automation at 95%, fitting retailers whose KPI path runs through app engagement to store visits.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">The distinction that sorts these quickly: some tools measure the store (traffic in, conversion out) and some measure the customer (visits tied to spend over time). Deciding which KPI your leadership actually asks about tells you which half of the category to shortlist.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For retail teams using location data, which KPI did it genuinely move: conversion, basket size, or repeat visits?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true"></p>

##### Post Metadata
- Posted at: 5 days ago
- Author title: Tech Consultant
- Net upvotes: 1


## Comments
### Comment 1

I’d prioritize tools that reconcile footfall with POS or customer-level data, since that makes conversion and repeat-visit metrics much more defensible with leadership.

##### Comment Metadata
- Posted at: 4 days ago
- Author title: Marketing Executive





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