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📊 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\text{Fortnightly Footfall} = \text{Weekly Footfall} \times 2Fortnightly 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=FootfallNumber of Changing Rooms\text{Audience per Poster} = \frac{\text{Footfall}}{\text{Number of Changing Rooms}}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=(Footfall×2Changing Rooms)×15\text{Impacts} = \left(\frac{\text{Footfall} \times 2}{\text{Changing Rooms}}\right) \times 15Impacts=(Changing RoomsFootfall×2​)×15


Bar Posters (per poster)

Impacts=(Footfall×2)×25\text{Impacts} = (\text{Footfall} \times 2) \times 25Impacts=(Footfall×2)×25


Example (Typical Club)

  • Weekly footfall: 500
  • Changing rooms: 3
  • Bar posters: 2

Changing Room Poster:

(1000/3)×155,000 impacts per fortnight(1000 / 3) \times 15 \approx 5,000 \text{ impacts per fortnight}(1000/3)×15≈5,000 impacts per fortnight

Bar Poster:

1000×25=25,000 impacts per fortnight1000 \times 25 = 25,000 \text{ impacts per fortnight}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.

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