Compare every paid network through one commercial definition.
Normalise spend, impressions, clicks, conversions and revenue across advertising platforms, then reconcile network claims against actual commerce orders and contribution margin.
| Network | Spend | Platform revenue | Reconciled revenue | Contribution |
|---|---|---|---|---|
| Google Ads | A$72.4k | A$348k | A$291k | A$84.2k |
| Meta Ads | A$58.8k | A$311k | A$214k | A$49.6k |
| TikTok Ads | A$21.7k | A$96k | A$61k | A$11.8k |
| LinkedIn Ads | A$17.2k | A$82k | A$54k | A$17.1k |
| Microsoft Ads | A$14.2k | A$67k | A$58k | A$18.4k |
Stop comparing metrics that use different attribution windows and revenue definitions.
Standardise account hierarchy, timezone, currency and reporting period.
Map channel, objective, market, product, audience and funnel stage across networks.
Match platform events to actual orders, leads, accounts and approved revenue.
Compare concepts, formats, messages, fatigue, audience response and downstream quality.
Monitor planned versus actual spend and forecast month-end investment.
Evaluate contribution, customer quality, stock readiness and fulfilment cost—not ROAS alone.
Advertising data becomes useful when connected to the business constraint.
Reconcile media investment with actual trading performance.
Connect advertising accounts and commerce sources, then agree the revenue and contribution rules used for decisions.