Start with the problem. We'll show you the tool.

A ranked shortlist of realistic new outlets to pitch, and the evidence to prioritize them.

1. 1LinkScan the map for coverage gaps — the areas with no store pins nearby are your reach and distribution opportunity.
2. 2Store FinderFilter for stores that fit your channel and sit near the right POIs — e.g. drugstores within 2 km of private hospitals.
3. 3TwinFeed in your best account to surface lookalike stores that should behave the same way.

A similarity-ranked list of stores that mirror your top performer's demographics, affluence and competition.

1. 1LinkOpen your best-selling store's panel to see what's around it — POIs, affluence, competition — the reasons it performs.
2. 2TwinFeed that store into Twin as the reference and read the top matches, tuned toward demographics or affluence.

A plain-language read on what's different around your top store versus the others — competition, POIs, affluence, demand — for a specific category, no internal sales data needed.

1. 1LinkOpen your best store's panel, switch to Compare, and add the other stores you want to check it against.
2. 2LinkPick the category and run it for a plain-language read on what's different in its surroundings — competition, POIs, affluence, demand.

A list of stores sitting inside the catchment of whichever POI type drives your category — hospitals, schools, malls, transport terminals and more.

1. 1LinkBrowse the map first to see where that POI type clusters — hospitals, schools, malls, transit terminals — and get a feel for the area.
2. 2Store FinderThen set the precise proximity rule — e.g. drugstores within 2 km of private hospitals — and export the matches.

For each of your stores, the hospitals, schools and other POIs that pull footfall nearby.

1. 1LinkSearch one of your stores on the map to see the POIs immediately around it, filtered by type and radius.
2. 2POI FinderThen add up to 12 stores at once to get the same read across your whole list in one table.

A list of independent, non-chain stores — sari-sari and the like — in your area.

1. 1Store FinderFilter to non-chain stores (or exclude specific chains) and narrow by area.

The full store list for a chosen city or region, filtered to your criteria.

1. 1Store FinderAdd a location filter (region / city) and run the query to list the stores there.

An age-sex, household and socioeconomic read of exactly who lives in an area.

1. 1LinkDrop 1–4 pins or select a POI to profile the population and health stats of that exact area.
2. 2Population IntelligenceGo deeper on national and 71-city demographics, births and socioeconomic profile.

An annual ₱ demand estimate for your category, broken down by region and city.

1. 1Demand OverviewSee the bottom-up annual ₱ demand for your category and drill down by region and city.
2. 2LinkDrop a pin on a specific street or barangay to sanity-check that demand read against what's actually on the ground there.

Who the buyers are in a city, why they buy your category, and how much they spend.

1. 1Consumer PersonasRead the evidence-backed personas for your category and where each is strongest.
2. 2Demand OverviewGround it in the ₱ demand that category generates, by city.

A purchasing-power read on an area — how affluent the residents are.

1. 1LinkDrop a pin to get the area's affluence band and income read.
2. 2Population IntelligenceBack it with the city's poverty, income and socioeconomic profile.

A per-salesman monthly visit schedule that respects territories, chain rules and NCR coding.

1. 1Route PlannerUse the monthly coverage planner to assign stores and output each salesman's schedule.

The shortest driving order for a set of stops, ready to navigate.

1. 1Route PlannerDrop in the stores and run Shortest Path for the optimal road order.
2. 2Visit PlanPush the result to a visit itinerary you can follow on the road.

The peso cost to serve a route — fuel plus manpower — and the break-even sales.

1. 1Cost to DeliverEnter distance, truck and crew to get total cost, cost per store and break-even sales.

A sequenced, tick-off-as-you-go visit plan on your phone with turn-by-turn links.

1. 1Visit PlanBuild and reorder a stop list, mark visits done and re-optimize the rest.
2. 2LinkTap detect-my-location to start the plan from wherever you are.

The cost to run a whole fleet — per truck and per store — so you can pick the cheapest mix.

1. 1Cost to DeliverUse the fleet view to cost multiple trucks side by side, each with its own fuel and crew.

Stores ranked by nearby persona-relevant places, trade area and affluence fit, so materials go where they convert.

1. 1Marketing PlannerPick a category, persona and area to rank stores on the 3-signal placement score.

A ranked list of stores for trade materials, with sensitive-category placements screened out.

1. 1Marketing PlannerRank stores by placement score, with guardrails filtering unsuitable spots.

A clear picture of your target customer — their motivations, channels and seasonality.

1. 1Consumer PersonasBrowse the personas for your category and the retail playbook for each.

The placements to avoid for a sensitive category, and why.

1. 1Marketing PlannerRead the guardrail flags that exclude or downrank unsuitable stores.
2. 2Consumer PersonasCheck each persona's placement guardrails for the category.

The calendar of when your category peaks — fiestas, seasons, holidays and long weekends.

1. 1Demand CalendarSee the seasonality curve with local fiestas, holidays and long-weekend effects overlaid.

A count of POIs by type across a city — hospitals, malls, schools and more.

1. 1POI BreakdownDrill from national to city to count POIs by type and category.
2. 2LinkJump to the map to see and search those POIs in place.

A first read on a new area before you commit — who lives there, what they'll buy, and the store landscape.

1. 1Population IntelligenceProfile who lives in the area — size, age, income.
2. 2Demand OverviewEstimate the category demand it represents.
3. 3POI BreakdownSee the POI and store landscape by type.
4. 4Store FinderThen build the actual store list to work.

A branded report or deck assembled from insights across the app.

1. 1Report StudioAssemble saved insights into a formatted, Atlas-branded report or presentation.

The datasets and studies behind every figure, ready to cite.

1. 1ReferencesSee every dataset and source, grouped by the app area it powers.
2. 2LibrarySearch the full research corpus of 270+ studies for the specific evidence.

The study or figure you need, from the research behind Atlas.

1. 1LibrarySearch 270+ studies by category, country and evidence type.
2. 2ReferencesOr browse the datasets grouped by the app area they power.