WE7

WE7 AI — Digital Advertising GHG Estimation Methodology

GMSF-Aligned Standards for Transparent Carbon Tracking

WE7 AI employs a comprehensive lifecycle assessment approach to measure greenhouse gas emissions from digital advertising campaigns. Our methodology follows GMSF (Global Media Sustainability Framework) standards and accounts for all three phases of the advertising lifecycle: Creation, Distribution, and Consumption. This document provides complete transparency into our calculation methods, data sources, and reporting standards.

Section 0

Scope & Functional Unit

Functional units

CO2ePM = kgCO₂e per 1,000 impressions

Lifecycle phases

Total emissions are the sum of: CO2e_total = CO2e_creation + CO2e_distribution + CO2e_consumption

Section 1

Data Model (Inputs, Defaults, Constants)

1.1 Inputs

Impressions (I), creative format (display/video/instream), creative weight (MB), view time (seconds), device mix by country, geo (country/region), buying method (RTB/programmatic vs direct), supply path proxy.

1.2 Defaults

Default creative weight per format, default view time per format, default fixed vs mobile network ratios by region, default ads.txt lines/server factors, default payload sizes.

1.3 Constants

Grid carbon intensity CI_grid (kgCO₂e/kWh) location-based, network energy intensity (kWh/MB or kWh/KB), embodied emissions intensity, server PUE, overhead multipliers, amortization lifetimes.

Section 2

CREATION Phase — Post-Production Storage

Post-production storage emissions

WE7 AI models storage energy and converts it to CO₂e using: E_storage = S_MB × t_storage × EI_storage, then CO2e_creation = E_storage × CI_grid. If storage data is not available, WE7 AI flags Creation as "data required / RFI to creative agency".

Section 3

DISTRIBUTION Phase — Ad Space Selection + Creative Delivery

3A) Ad Space Selection (RTB / Programmatic)

WE7 AI models RTB as "ad opportunities" that trigger server processing and network calls. Total auction events multiplier: M_auction = P × A × (1 + R_req) × (1 + R_res). Includes data center server use-phase, data center server embodied, network use-phase, and network embodied emissions.

3B) Ad Creative Delivery

Creative delivery is driven by data transferred per impression. MB_out = W_MB + Payload_MB. Total data delivered: D_delivered,MB = I × MB_out. Includes delivery infrastructure (servers/edge/CDN) use-phase and embodied, plus delivery network use-phase and embodied emissions.

3C) Special Cases

End-to-end platforms (e.g., social) use platform guidance defaults. Direct deals use direct-sale server count + call count defaults, with creative delivery applying as above.

Section 4

CONSUMPTION Phase — User Device Use + Embodied

4.1 Device use-phase emissions

Total energy: E_device,use = I × Σ(r_d × t_view,d × EI_d). Emissions: CO2e_device,use = E_device,use × CI_viewer_grid

4.2 Device embodied emissions

CO2e_device,emb = I × Σ(r_d × t_view,d × EF_d,emb). Total: CO2e_consumption = CO2e_device,use + CO2e_device,emb

Section 5

"Data Hacks" / Missing Data Guidance

WE7 AI Rules

WE7 AI uses "data hacks" only when inputs are missing, with conservative defaults and explicit labeling. If creative type is video and weight unknown → default 4 MB. If view time unknown: display → 3s, video → 30s. Every "hack" triggers Data Quality Tier annotation and sensitivity notes.

Section 6

WE7 AI Output Metrics

What We Report

At minimum: CO2e_total (kgCO₂e), CO2ePM (kgCO₂e / 1,000 impressions). Breakdown by phase: Creation / Selection / Delivery / Consumption. Use vs embodied split. Optional: kgCO₂e per click, kgCO₂e per conversion, "Carbon efficiency" = ROI / kgCO₂e (reported as comparative trend).

Section 7

Product-State Disclosure

DD-Safe Language

Current state: standards-aligned analytical model + prototype workflow; partial manual inputs. Target state: automated ingestion (ads + platform + supply path signals) + real-time decision intelligence.

Section 8

What WE7 AI Adds Beyond "Just GMSF Math"

Our Differentiation

Decision-time optimization recommendations (pre-campaign + mid-flight), waste detection signals (invalid traffic / supply inefficiency), integration with your SDG-aligned Growth layer.

Key Formula Reference

Total Emissions:
CO2e_total = CO2e_creation + CO2e_distribution + CO2e_consumption
Per 1,000 Impressions:
CO2ePM = (1000 × CO2e_total) / Impressions
Phase Components:
CO2e_phase = CO2e_use + CO2e_embodied

Standards Compliance

Our methodology aligns with international standards including GMSF (Global Media Sustainability Framework), IFRS S2, and CSRD requirements for Scope 3 emissions reporting.

GMSF-Aligned
IFRS S2 Compatible
CSRD Ready