Customer penetration by ward · Local marketing solution

Pick the wards
your marketing budget should reach — with data

See 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.

3 levels of analysis
Ward · H3 · Apartment
Pilot on your own data
8–12 weeks
Net lift without seasonality
Control-ward comparison
PICK · Untapped Phú Thuận
Penetration
1.53 / avg 2.40
Extra orders possible
+42/day
  • High
  • Medium
  • Low
  • Untapped
  • Selected
  • · Sample data · not actual results
Why ward by ward

Still spending your marketing budget
on everyone at once?

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.

High-penetration wards

Many of your customers already live here. Focus on repeat purchases and basket size, not discounts.

→ Keep customers coming back

Untapped wards

Close by, but few residents are your customers. Your first target for new customers.

→ Focus on new customers

Distant wards

Outlying areas with high delivery costs. More orders mean bigger losses, so they stay out of promotions.

→ No promotion budget
The LocalPick solution

See, pick, act and prove —
in one flow

Diagnosis → selection → execution → measurement, all on the same map.

Core
SEE

Penetration diagnosis

Maps your customers' share of the population by ward, H3 grid cell and apartment complex.

Learn more →
PICK

Target ward selection

Finds untapped wards that underperform for their population and calculates the daily orders you are missing.

Learn more →
Popular
ACT

Campaign execution

Runs coupons, push messages, local ads, on-site marketing and promo items for each target ward × customer stage.

Learn more →
PROVE

Performance measurement

Compares the wards you ran with similar control wards to measure the net increase, without season or market effects.

Learn more →
PICK · Missed orders, in numbers

“If this ward ordered at the city average,
how many more orders would we get each day?”

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

  • UntappedClose by, low penetration → win new customers
  • RisingPenetration trending up → basket size, repeat purchases
  • SaturatedTop penetration → recommendations and new products, not discounts
  • DistantHigh delivery cost → no promotions

Opportunity Gap calculator

Sample data · not actual results
Ward population
48,500
Current orders per day
74
Penetration (per 1,000 people)
1.53

City average: 2.40 orders per 1,000 people per day

Extra orders possible per day +42orders/day
Untapped · focus on new customers
ACT · Local marketing

Only in the wards you picked —
online and on the ground

Keep the channels you already use. Add a ward code to each one to count results separately.

Popular

Local targeted ads

Radius targeting on super-app, messenger, social, search and map ads reaches residents of target wards only. Customer lists are not uploaded.

Method
Radius targeting · ward-level reach
Effect
Focused ad spend · new customers

Delivery & sales channels

Run banners and vouchers on the delivery and online grocery apps you sell on, with the same ward criteria.

Method
Channel banners · ward vouchers
Effect
First-order conversion · more orders

On-the-ground marketing

Place flyers, bike roadshows, apartment lobby boards, elevator screens, transit and outdoor ads along the daily routes of target wards.

Method
Daily-route placement · QR sign-ups
Effect
Ward awareness · offline results measured
New

Promo item kits

Add ward codes to roadshow giveaways and first-delivery welcome gifts, so first orders and repeat purchases are counted per item.

Method
Ward code on each item · in the first delivery
Effect
Repeat purchases · compare items

Ward-only coupons & push

Send first-order coupons, app push and email that only the target can use, with delivery-ward and customer-group conditions.

Method
Ward × customer rules · app push · email
Effect
Coupon redemption · return visits

Ward × customer matrix

Combine “which ward” with “who in that ward” to choose a sharper target with the same budget.

Ask us in a consultation →
Campaign example · Phú Thuận

8 weeks in one ward, online and offline together

Sample data · not an actual schedule

Media locations and rates must be confirmed with each media owner.

  1. Awareness
  2. Focus
  3. On-site (weekends)
  4. Repeat
  1. Weeks 1–2

    Awareness

    Build ward awareness with digital billboards, elevator screens and bus ads.

  2. Weeks 3–6

    Focus

    Run digital radius ads, delivery-app vouchers, flyers and lobby boards together.

  3. Weekends

    On-site

    Bike roadshows visit apartments and markets for on-site QR sign-ups and giveaways.

  4. Weeks 7–8

    Repeat

    Send first-order customers a second-order coupon and a welcome gift.

PROVE · Proof of results

Not “sales went up,”
but “the campaign raised them”

Compare wards that ran the campaign with similar wards that didn't, and filter out season and market effects.

Target vs control wards
5+ similar, non-adjacent wards on each side
Baseline → run
4-week baseline, then 6–8 weeks, difference-in-differences
Customer holdout
10–20% of the target receive nothing, for comparison
Cost efficiency
Cost per new customer and per order, by channel
  • Target wards
  • Control wards
  • New customer index (baseline = 100)
140 130 120 110 100 90 W1W4W7W10W12 Campaign starts (W5) Net effect
Sample data · not actual results The gap between the two lines is the campaign's net effect. Figures are for illustration.
Comparison

Analysis tools and ad channels exist,
but few connect them in one flow

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
DataEstimated foot traffic and card spendIn-platform behavior dataYour actual orders + public population data
Unit of analysisTrade area, store radiusRadius and ward-level ad targetingWard + grid + apartment complex
Key metricsFoot traffic, estimated salesImpressions, clicks, conversionsPenetration, Opportunity Gap, trend
ExecutionSome coupons and app pushTheir own platform's ads onlyCoupons, push, local ads, on-site and promo items together
MeasurementCoupon sales totals (no control group)In-platform conversion reportsNet lift vs control wards
OperationsNoneNoneSame map as delivery tiers, zones and new-store planning
Data & security

Start with the data you already have, handled safely

What we need

Order and delivery data (by delivery ward) and store locations. Population statistics and boundaries are included.

Aggregates first

Analysis uses ward and grid totals only. Areas with few orders are hidden automatically.

Nothing leaves your systems

Customer lists stay inside your own systems. They are not uploaded to ad platforms.

Separated per client

Each client's data is stored separately, never mixed, in line with local data protection rules.

How to start

Start small, confirm the effect, then expand

Pricing depends on the number of stores and scope. We share it after a consultation.

Recommended start 8–12 weeks

Pilot

Price on request

  • Penetration diagnosis for 1–3 key stores
  • Target and control ward selection, plus 1 campaign
  • Results report and roll-out proposal
Request a pilot
Monthly · per store

Subscription

Price on request

  • Penetration map and untapped-ward dashboard
  • Segment and campaign management with measurement
  • Regular trade-area reports
Contact us
Per project

Dedicated build

Price on request

  • Direct integration with your systems and data
  • Custom metrics and a dedicated cloud environment
  • Operations support after launch
Contact us
  1. Data review
  2. Penetration map
  3. Pilot campaign
  4. Results review
  5. Roll-out

How to win each ward around your stores —
let's look at it in the first meeting

Leave your name, company, work email and message. We'll reply by email and set up a meeting.