📊 How We Calculate Impacts Across the Grassroot Media Network
At Grassroot Media, one of the questions we’re asked most often is:
“How do you calculate your impacts?”
It’s a fair question. Grassroots sport isn’t a traditional media channel, so standard OOH methodologies don’t always apply cleanly. Instead, we’ve built a model grounded in real-world behaviour inside sports clubs: how people actually move, socialise, and spend time in these environments.
This article breaks down that methodology in a transparent, defensible way.
🧠 Step 1: Start With Real Footfall
We begin with weekly footfall, not assumed impressions.
This includes:
- Players (home and away)
- Coaches and volunteers
- Officials and referees
- Spectators and social members
It reflects people physically passing through the club each week, not passive or digital audiences.
Across our network, this totals hundreds of thousands of weekly visits
🔁 Step 2: Convert to Campaign Timeframe
Most campaigns are measured in fortnights or months, so we scale footfall accordingly:Fortnightly Footfall=Weekly Footfall×2
This gives us the total number of visits during the campaign period.
👀 Step 3: Apply Realistic Viewing Behaviour
This is where grassroots environments become powerful.
Unlike traditional OOH (where exposure is fleeting), sports clubs offer:
- Long dwell times
- Repeated movement through the same spaces
- Social environments (bars, changing rooms, terraces)
We therefore apply “views per visit” multipliers, based on environment:
🚿 Changing Rooms (High Attention, Repeated Exposure)
- Players spend extended time:
- Pre-match
- Half-time
- Post-match
- Posters are viewed repeatedly at close range
Assumption: ~15 views per visit
This reflects:
- Natural eye movement
- Idle time (waiting, changing, showering)
- Group environments where attention lingers
🍻 Clubhouse Bars (High Frequency, Social Viewing)
- People spend longer periods (often 1–3 hours)
- Frequent glances while:
- Talking
- Waiting at the bar
- Watching sport
Assumption: ~20–30 views per visit
We use a defensible midpoint of 25
📺 Digital Screens (Structured Loop Exposure)
Screens run on structured playlists:
- Typically 10-second content slots
- Rotating continuously throughout opening hours
- Content repeats at DOOH standards of every ~60–120 seconds depending on agreed frequency
This creates high-frequency exposure within a single visit.
📐 Step 4: Account for Environment Structure
Not every person sees every asset.
Changing Rooms:
- Audience is split across rooms
- Each person typically uses one changing room per visit
Audience per Poster=Number of Changing RoomsFootfall
Bars:
- Shared, communal space
- Full audience has visibility
- No division required
🧮 Step 5: Final Impact Formula
Changing Room Posters (per poster)
Impacts=(Changing RoomsFootfall×2)×15
Bar Posters (per poster)
Impacts=(Footfall×2)×25
Example (Typical Club)
- Weekly footfall: 500
- Changing rooms: 3
- Bar posters: 2
Changing Room Poster:
(1000/3)×15≈5,000 impacts per fortnight
Bar Poster:
1000×25=25,000 impacts per fortnight
⚖️ Why This Method Is Right
This approach is grounded in observable behaviour, not inflated assumptions:
1. Real Environments, Not Passing Traffic
People are not walking past at speed—they are:
- Sitting
- Socialising
- Spending extended time in place
2. Repetition Drives Recall
Campaign results support this model:
This level of recall is only achievable through high-frequency exposure in trusted environments.
3. Conservative, Not Inflated
We:
- Use mid-range assumptions (not maximums)
- Avoid double-counting across environments
- Separate spaces (changing rooms vs bars)
📍 The Key Takeaway
Grassroots sports clubs are not just another OOH environment.
They deliver:
- High dwell time
- Repeated exposure
- Trusted, social settings
- Consistent weekly audiences
That combination creates something rare in media:
👉 High-frequency, high-attention impacts at scale
🚀 Final Thought
We don’t claim to be traditional OOH.
We’re something different:
Active-Social OOH: built around real behaviour, not assumed visibility.

