How to Read Your Spend Concentration Report

The percentage of total spend consumed by the single largest campaign. Above 40% means your account's performance depends almost entirely on one campaign. If that campaign degrades — creative fatigue, algorithm reset, policy suspension — the whole account collapses.

Measures budget inequality across all campaigns. 0 = perfectly equal distribution. 1 = all spend in one campaign. Calculated using the standard Gini coefficient formula across ranked campaign spend. Above 0.6 is concerning. Above 0.8 is critical concentration.

Count of campaigns that are both efficient (CPA below account average) and budget-constrained (losing >5% impression share to budget). These are proven winners being denied the budget to scale — the most actionable finding in the audit.

If the first bar is 5x+ larger than the second, the account is structurally fragile. The algorithm has effectively decided to allocate almost all budget to one strategy — whether or not that's optimal.

The algorithm is concentrating on one proven campaign while burning budget on exploration in others. The exploiting campaign gets the budget because the exploring ones can't compete — creating a self-reinforcing cycle of concentration.

If 80%+ of spend is on one network, a single algorithm update to that network can destabilize your entire account. This isn't necessarily wrong — it depends on your business — but it's a risk to be aware of.

This campaign absorbs outsized budget but doesn't outperform the account average. The algorithm concentrated here because of historical conversion volume, not current efficiency. It's coasting on momentum.

This campaign earns its budget share through performance. The concentration is warranted, but the account is fragile — if this campaign degrades, there's no backup.

This campaign converts efficiently but can't show ads for all qualifying searches because its budget runs out. Every percentage point of lost impression share is a missed conversion at a proven CPA.

This campaign hasn't accumulated enough conversion data to bid reliably, but it already absorbs a large share of account budget. The algorithm is spending aggressively in a data vacuum.

This campaign has passed through learning and is bidding on proven signal. Budget increases here produce predictable, measurable returns.

This campaign outperforms the account average AND has room to grow. Budget increases here generate above-average returns and reduce overall concentration by building a second revenue pillar.

This campaign underperforms the account average while consuming a disproportionate budget share. The algorithm has over-concentrated here due to historical momentum. Cutting budget redirects spend to higher-return campaigns.

Performance is reasonable and the campaign is clearly budget-starved. Increasing budget here won't deliver the same outsized returns as SCALE campaigns, but it reduces fragility by diversifying the revenue base.

Google can spend up to 2x your daily budget on any given day. Consistently over-pacing campaigns are at risk of exhausting monthly budget early in the month, leaving the final week unfunded.

A campaign flagged as SCALE in the rebalance matrix is spending below its budget allocation. The algorithm isn't finding enough traffic at the current bid/targeting settings to use the available budget.

This campaign proves it can convert efficiently but misses 20%+ of eligible auctions due to budget. Increasing budget here is the single highest-ROI budget action available — no new creative, targeting, or structure changes needed.

You redistributed budget, but the algorithm funneled it back to the dominant campaign. This happens when the dominant campaign has historically strong signal and the algorithm gravitates toward certainty.

This campaign is still in its learning phase and has not yet accumulated enough data to be fairly evaluated. Cutting it now wastes the learning spend already invested. Wait until it reaches Exploitation before making rebalance decisions.

Budget inequality is increasing week over week. The algorithm is progressively consolidating spend into fewer campaigns, reducing diversification and increasing fragility.

If the campaigns marked for cutting consume over 30% of total spend, budget reallocation is a major structural move — not a tweak. Plan for a 2–4 week transition period where the algorithm re-learns.

This assumes SCALE campaigns maintain their current ROAS at higher budget levels. In practice, marginal ROAS may decline — but the projection uses current observed ROAS, not inflated targets, making it a conservative floor estimate.

One bidding strategy controls nearly all budget. If that strategy's algorithm hits a learning reset or the conversion signal it optimizes for degrades, every campaign is affected simultaneously.