High-penetration wards
Many of your customers already live here. Focus on repeat purchases and basket size, not discounts.
→ Keep customers coming backSee where your customers live on a ward (phường) map. Focus marketing only on the wards you're missing. Then prove the net effect in numbers against similar wards.
Shoppers now pick nearby stores in apps and on maps, not from flyers. Split wards by penetration rate (the share of residents who are your customers), and you can see where the budget should go.
Many of your customers already live here. Focus on repeat purchases and basket size, not discounts.
→ Keep customers coming backClose by, but few residents are your customers. Your first target for new customers.
→ Focus on new customersOutlying areas with high delivery costs. More orders mean bigger losses, so they stay out of promotions.
→ No promotion budgetDiagnosis → selection → execution → measurement, all on the same map.
Maps your customers' share of the population by ward, H3 grid cell and apartment complex.
Learn more →Finds untapped wards that underperform for their population and calculates the daily orders you are missing.
Learn more →Runs coupons, push messages, local ads, on-site marketing and promo items for each target ward × customer stage.
Learn more →Compares the wards you ran with similar control wards to measure the net increase, without season or market effects.
Learn more →We calculate each ward's Opportunity Gap (missed orders) to rank where the budget should go.
Ward population City average penetration Current orders Extra orders per day
City average: 2.40 orders per 1,000 people per day
Keep the channels you already use. Add a ward code to each one to count results separately.
Radius targeting on super-app, messenger, social, search and map ads reaches residents of target wards only. Customer lists are not uploaded.
Run banners and vouchers on the delivery and online grocery apps you sell on, with the same ward criteria.
Place flyers, bike roadshows, apartment lobby boards, elevator screens, transit and outdoor ads along the daily routes of target wards.
Add ward codes to roadshow giveaways and first-delivery welcome gifts, so first orders and repeat purchases are counted per item.
Send first-order coupons, app push and email that only the target can use, with delivery-ward and customer-group conditions.
Combine “which ward” with “who in that ward” to choose a sharper target with the same budget.
Ask us in a consultation →Media locations and rates must be confirmed with each media owner.
Build ward awareness with digital billboards, elevator screens and bus ads.
Run digital radius ads, delivery-app vouchers, flyers and lobby boards together.
Bike roadshows visit apartments and markets for on-site QR sign-ups and giveaways.
Send first-order customers a second-order coupon and a welcome gift.
Compare wards that ran the campaign with similar wards that didn't, and filter out season and market effects.
Organized by general service type; it does not refer to any specific company. As of November 2026.
| Category | Typical trade-area analytics | Delivery & ad platforms | LocalPick |
|---|---|---|---|
| Data | Estimated foot traffic and card spend | In-platform behavior data | Your actual orders + public population data |
| Unit of analysis | Trade area, store radius | Radius and ward-level ad targeting | Ward + grid + apartment complex |
| Key metrics | Foot traffic, estimated sales | Impressions, clicks, conversions | Penetration, Opportunity Gap, trend |
| Execution | Some coupons and app push | Their own platform's ads only | Coupons, push, local ads, on-site and promo items together |
| Measurement | Coupon sales totals (no control group) | In-platform conversion reports | Net lift vs control wards |
| Operations | None | None | Same map as delivery tiers, zones and new-store planning |
Order and delivery data (by delivery ward) and store locations. Population statistics and boundaries are included.
Analysis uses ward and grid totals only. Areas with few orders are hidden automatically.
Customer lists stay inside your own systems. They are not uploaded to ad platforms.
Each client's data is stored separately, never mixed, in line with local data protection rules.
Pricing depends on the number of stores and scope. We share it after a consultation.
Price on request
Price on request
Price on request
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