GeoSense is MEmob’s proprietary geospatial intelligence platform. It turns anonymised mobility data into live, interactive maps that show where a defined audience lives, works, and moves, how long they dwell in places of interest, and who they are once the data is enriched. It is a visualization and intelligence platform.

What questions can GeoSense answer?

GeoSense is built to answer questions such as:

• Where does my target audience live, work, and spend time?
• Who visits my stores and my competitors’ stores, and where do those audiences overlap?
• Where should I open my next location, based on audience density in the catchment?
• Where does a specific audience move, so I can plan OOH and DOOH against real behaviour?
• Where are in-market tourists staying and going, and what are they doing?

A GIS or mapping tool shows where things are. GeoSense shows who moves through a place, how often, how long they stay, and who they are. It is built as an audience and mobility intelligence layer, not a cartography tool. Two locations with identical foot traffic can look completely different in GeoSense, because the audiences moving through them are different.

The Geosense Intelligence Model is the three-layer analytical framework that turns raw movement into a market decision, and it’s the structure behind everything the platform visualizes.

Audience Intelligence: behavioural segments built from real-world visitation, affinity and frequency, answering who is actually being reached.

Mobility Intelligence: flow, dwell, daypart, catchment and movement patterns across the city, answering how and when audiences move.

Market Intelligence: competitor overlap, opportunity zones and location-level demand signals, answering where the commercial opportunity is strongest.

Geosense replaces radius-based OOH guesswork with spatial evidence by overlaying audience footfall heatmaps directly onto OOH site coordinates, so planners can see which placements sit inside genuinely high-density audience zones and which are wasted impressions before a single site is booked.

The workflow runs in four stages, matching how media and creative teams already work: Plan: load audience heatmaps against candidate OOH sites and buy from spatial evidence rather than assumption. Target: define geo-targeted digital and in-store proximity activation zones from the same behavioural data, so digital and physical planning use one audience definition. Measure: a post-campaign split-map comparison shows footfall before vs. after by zone and store; the map is the measurement, not a table a client has to interpret. Report:  live Geosense maps are embedded directly into campaign debrief documents, so clients interact with the data instead of reading it.

This is also where the platform’s time dimension matters most: hourly footfall animation identifies peak windows for staffing and campaign timing, day-of-week rhythm shows how Monday behaviour differs from Saturday, and seasonal trend playback animates a full year; useful for showing how tourism flows shift in high season or how retail density changes during Ramadan.

Geosense is built for any brand, agency or commercial team that needs a shared, visual answer to where audiences are, how they move, and whether media investment changed that behaviour most directly, OOH and DOOH planners, media and advertising agencies, and brand/commercial teams running location-based or omnichannel campaigns across MENA.

For media and advertising agencies, Geosense turns audience discovery and OOH planning into a spatial, client-facing deliverable rather than a spreadsheet; the same map used to plan the buy becomes the map used in the debrief. For brand and commercial teams, it gives marketing, retail and expansion functions a common view of audience quality, physical context and commercial outcome, so budget conversations run on visible evidence rather than assumption. For retailers, tourism boards, automotive and other location-dependent industries already using AllPings for audience intelligence, Geosense is the natural next layer it makes those audiences visible in space and, connected to Stretch, provable in outcome.

Traffic counts estimate how many people pass a location; Geosense identifies who those people are, whether they match a target audience, and whether exposure changed their behaviour. Two sites with identical traffic can score very differently in Geosense depending on which audience segments actually move through each one. It also closes the measurement gap traffic counts leave open measuring actual exposure-to-visit attribution and lift, not just potential reach.

GeoSense is an intelligence and visualization platform. Campaign attribution, cross-channel measurement, and incremental lift are handled by Stretch, MEmob’s measurement product. GeoSense shows you the audience and the market; Stretch proves campaign impact.

Yes. Geosense uses aggregated, anonymised mobility signals, the same privacy-first foundation as AllPings and supports compliance with GDPR, CCPA, and PDPL. No personally identifiable information is exposed during audience mapping, catchment modeling, or attribution.

Yes. Audiences identified in GeoSense can be activated through AllPings, MEmob’s audience activation platform. Activation requires an AllPings subscription. GeoSense is the intelligence and visualization layer; activation happens in AllPings.

To build a GeoSense view, you provide the audience you want to understand or the locations of interest, for example your stores, competitor sites, or a list of OOH placements. MEmob handles the rest.

GeoSense is delivered as a live, interactive dashboard. Views can be captured directly from the platform for use in presentations, reports, and client debriefs.