WhatsApp-only trackingBTL campaign tracking model where WhatsApp groups serve as both the input layer and the monitoring system. Works for small campaigns; breaks at modern scale.
Hybrid WhatsApp + Dashboard2026 winning model. WhatsApp continues as the input layer (cultural adoption); dashboard runs as the intelligence layer (verification + visibility + scorecards).
Input layerWhere data enters the system. WhatsApp / agency app at the field worker's hands. Optimised for adoption, not for analytics.
Intelligence layerWhere data becomes operational truth. Dashboard + verification engine + AI models + structured retention. Optimised for visibility, accountability, audit defensibility.
WhatsApp Business APIMeta-approved enterprise API for high-volume business messaging. 284M global active accounts (2026). 1.9B daily messages routed.
EXIF metadataImage metadata including GPS coordinates, capture timestamp, camera model, device authenticity markers. Standard WhatsApp compression strips this on ~89% of photos.
9-layer mock-location detectionGPS authenticity model catching location-spoofing apps. 100% detection rate.
Live-capture enforcementPhoto must be captured in real-time through the app camera; gallery uploads disabled.
SHA-256 + perceptual hashImage fingerprinting catching exact and near-duplicate photos across campaigns.
Edit-signature detectionCV model identifying Photoshopped or AI-generated images.
Face-match + Aadhaar identityWorker identity verification at app login; persistent across campaign duration.
Continuous audit trailImmutable structured log of every campaign event with who/what/when/where.
Per-vendor Tier A+ to DReal-time classification by VER, fraud flags, customer satisfaction. Refreshed continuously.
Verified Execution Rate (VER)% of activities passing all verification layers. Headline KPI replacing self-reported completion.
Campaign Health ScoreComposite 0-100 score weighing 8 verification layers. Replaces "completion %" as headline KPI.
Effective visitVisit verified to be at correct asset, by correct worker, of correct duration (≥4 min typical). Replaces "drive-by" submissions.
Drive-by visitWorker drove past asset, captured photo from car, marked complete. Identifiable by sub-4-minute dwell + GPS movement pattern.
Photo recyclingSame photo submitted for multiple assets or campaigns. Caught by perceptual hash + 12-month rolling archive.
Ghost outletOutlet recorded as visited but verification absent. Identifiable by missing geofence check + low effective visit duration.
Proof Before Payment (PBP)Procurement standard tying invoice approval to verified per-event execution.
Field Execution Intelligence (FEI)Purpose-built software category for live verification of every offline campaign event.
gOGig AI14 production models. 100% verification accuracy. 100% fraud detection rate.
Verified by gOGigEarned certification with cryptographic signature indicating evidence chain integrity.