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MotoAdNetwork • Methodology

Placed with data. Backed by standards.

How we choose every site — and how we prove your campaign actually ran.

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Site selection

More than six official standards. 
This is a taste, not the recipe.

OpenStreetMap

Open, community-maintained map data.

Overture Places

Independent, licensed point-of-interest data.

PSA statistics

The Philippines’ official statistics authority.

ITE Parking Generation Manual

The industry-standard US traffic engineering reference.

National Building Code

Official Philippine building-code standards.

Google Places taxonomy

The category system media buyers already know.

Many more sources feed the model — exactly how we combine them into a  site score is our secret sauce.

Filter by what matters

Every site is tagged, 
not just mapped

Browse the network by the same filters we use to qualify it — 
the tags are open, even if the formula isn't.

Location Grade
A+ A B C
SEC Proxy
Mass Mid-Market Premium
Deployment Type
Live Ready for Partner Confirmation On-Demand
Dwell Time
High Turnover Medium Dwell Long Dwell
Peak Traffic
Commuter Pattern Nighttime Heavy All-Day Steady Evening-Leisure Peak Weekend Peak
Brand Safety
General Audience Age Restricted Political Advertising Accepted Religious Advertising Accepted
Site Classification
QSR Cluster Office-BPO District Near Transport Hub Near Mall Near University Banking-Finance Corridor Palengke Zone
Area Context 
(Main characteristic)
Shopping Business Transportation Education Health and Wellness Government Food and Drink Housing Places of Worship Automotive Culture Entertainment and Recreation Facilities Finance Geographical Areas Lodging Natural Features Services Sports
Eligible for
Automotive Banking/Finance FMCG Healthcare Retail/Mall Telco/Tech Beauty & Personal Care Convenience/Grocery Education Food & Beverage Fuel Government Leisure & Tourism Pharmacy Real Estate/Office Religion Transport/Logistics Other
Operator Notes
24/7 Illumination High Frequency Presence Visible from Public

Brand intelligence

We check every site against 2,000+ known brands

Every site is scanned against a growing database of Philippine brands — 
so placement isn’t just about location — it’s about the brands around it.

Find your fit

See which sites sit near brands relevant to your campaign — from national chains to neighborhood staples.

Stay competitor-clear

A site’s own anchor category is automatically excluded from eligibility — no mall pitches a rival mall brand, no bank sits eligible for a rival bank.

How we measure

Numbers built to make it easy

We make performance simple to understand, so your team can present the value clearly and close with confidence.

Reach
11,000
Unique visitors in 30 days
×
Frequency
3.2
Average exposures per visitor
=
Impressions
35,200
One site, 30-day flight

About ~500 people pass this site each day — that daily count is called OTS (Opportunity To See). Over the full flight, those same people add up to the Reach number above — each one counted once, not once per visit.

What it means in practice

Reach × Frequency = Impressions — a straightforward multiplication, not a chained or exponential estimate. More sites or a longer flight scale the Reach and Frequency numbers themselves; the formula never changes.

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Straight answers

Questions you’d ask anyway.

We’d rather tell you the limits up front than have you find them later.

Our turnover model starts from the ITE Trip Generation Manual — the same peak-hour, floor-area-based reference U.S. city planning departments use. It’s a starting point, not a live traffic count, and it gets replaced by real install-log data over time.

Most are pulled directly from sourced data. A minority are professionally derived using the same industry logic where no direct data point exists yet — flagged internally for ongoing review, never presented as measured fact when it isn’t.

Tier is set at the province level, using official PSA poverty statistics. That’s coarser than city-level would be — some neighborhood-level variation gets smoothed out. We’d rather say that plainly than imply false precision.

No — by design. Market-type sites are capped at Mid-Market tier regardless of how affluent the surrounding neighborhood is. We don’t inflate a Tier just because of location.

Capacity follows a confidence order: tagged counts first, then measured area, then a conservative placeholder — used only when neither exists, and flagged for field verification before that site goes live.

Not necessarily. Brand detection depends on how well an area is mapped — in lightly-mapped regions, real nearby businesses can be missed. An absent tag isn’t proof of absence.

No — it’s a simple commercial rounding convention, not a delivery-risk safeguard. Delivery risk is already handled separately, by daily capacity and turnover.

We default to the conservative, data-backed daytime ratio unless we have direct evidence — like posted hours — that a site runs nighttime-heavy. Intentionally conservative, never an optimistic guess.

No — Frequency follows a site’s traffic rhythm, not its audience Tier. A commuter-heavy or office-district site, where the same people pass every day, naturally produces higher frequency than a one-off destination site. You can already see this pattern in the Dwell Time and Peak Traffic filters above.

Takeover

Dominate the attention. Book it all.

Buy a site's full capacity and it's exclusively yours for the flight — no other brand shares that space while your campaign runs.


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Availability, honestly labeled

We don’t reserve inventory on a maybe

Every site carries one of three honest statuses — 
no fake scarcity, no overselling.

Live

Bookable now — once your creative is ready, installation starts from the date you choose.

Ready for Partner Confirmation

The contract’s already in place with the site owner — just one quick confirmation step left.

On-Demand

Book with confidence — based on our track record, these go live within about a week too.

Always improving

The data keeps getting sharper.

Estimates start from official standards — but every installation feeds back into the model.

Calibrated by real installs

Field data from every install feeds back into our traffic and turnover estimates — real numbers gradually replace conservative starting assumptions.

Recomputed, not re-guessed

When our standards or technology improve, we recompute from the data we already hold — no starting over, no stale numbers carried forward.

Launch Your Campaign

from 50 PHP/motorcycle/day

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