Per-Buyer Statistics Across the Team

Why per-buyer statistics matter, not just team totals

An aggregated team number — total spend, blended ROI — looks fine in a report but hides what's actually happening: one buyer can drag the overall figure down while another compensates out of their own margin. Without a per-buyer breakdown, budget decisions get made blind — money keeps flowing wherever it always has, rather than wherever it's actually earning a return. Breaking out statistics by buyer isn't about control for its own sake — it's about letting a team lead see exactly where the next dollar of budget is actually worth putting.

Which KPIs to track per buyer

Spend and traffic volume are just a starting point — what matters more is CR at each funnel step (unique-install-registration-deposit) for that specific buyer and the real ROI on their combos, not raw spend numbers. It's worth tracking each buyer's active geos and verticals — specialization often delivers a more stable result than trying to cover everything at once. Reaction speed to bans and problems — how quickly a buyer noticed an issue and switched to a new domain or BM — is a less obvious but equally telling measure of work quality, one that rarely shows up in the financial numbers alone.

Roles and access across the team

Splitting roles — the CEO sees everything, a team lead sees their team's stats, a buyer sees only their own campaigns — isn't just an interface convenience, it's protection against combos leaking between buyers who can technically end up competing for the same geo or offer inside one team. Limiting a buyer's access to other people's numbers also removes a motivational distortion — comparing raw numbers against a colleague's without context (a different offer, a different geo) usually demotivates more than it helps. Access should be set up to match the team's actual structure, not defaulted to full visibility for everyone just because the system technically allows it.

Turning statistics into decisions, not just reports

Tying bonuses or pay rate to a buyer's real margin, rather than just budget volume spent, aligns individual motivation with the whole team's interest — a buyer running a lot of spend at a loss shouldn't out-earn one running a smaller, profitable volume. Per-buyer statistics help catch someone stuck on a clearly losing combo earlier, so a lead can step in before the budget behind it grows any further. Strong offers and geos are worth reallocating toward whoever consistently shows the best CR under similar conditions, rather than leaving them with whoever got there first.

FAQ

What's a fair way to compare metrics between buyers?

Only under comparable conditions — the same offer, a similar geo and time period — otherwise the comparison reflects differences in task difficulty rather than real differences in skill.

Should a buyer see other buyers' statistics on the team?

Usually not — access should stay limited to a buyer's own campaigns, both to prevent combos leaking between buyers and to avoid demotivating comparisons made without context.

How quickly can you tell a buyer is running at a loss?

Once there's a statistically meaningful amount of data on their combos — judging off a couple of days is risky, but regular ROI monitoring per buyer usually surfaces a problem before it does serious damage to the budget.

How do access roles help a team lead manage the team?

CEO/lead/buyer roles split data visibility by level in the structure — a lead sees their whole team, a buyer sees only their own campaigns, and the CEO sees everything, without manually configuring permissions for every new hire.

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