Practical research for people doing the work

Measure well.
Check the data.

Evaluate organic and paid distribution with matched costs and outcomes, and investigate suspicious traffic without pretending to detect bots from one metric.

Delivery

Verify the actual placement.

Attention

Preserve metric definitions.

Economics

Include all relevant costs.

Attribution

Explain the credit-assignment model.

A cheap view is only valuable when it belongs to the result you need.

Keep delivery, attention and business value separate

Delivery asks whether the approved asset appeared on the intended account. Attention asks what people watched or did. Business value asks whether a defined customer outcome followed. A dashboard should preserve these layers rather than collapse them into one fleet score.

Use consistent time windows and platform definitions. Do not sum unlike view metrics and call the total unique people. Report deduplicated reach only when the data actually supports deduplication.

Compare complete costs

Organic distribution includes production, review, tools, people and exception handling. Paid media includes creative and operating costs as well as spend. Compare equivalent outcomes and cohorts. A low CPM alone does not establish that either channel scales profitably.

The calculator reports cost per thousand entered impressions and cost per entered qualified action. Revenue contribution uses your entered contribution per action. It is an accounting scenario, not proof that the program caused the action.

Investigate anomalies without inventing a bot score

Unexpected geography, repeated patterns, unusual engagement or a mismatch between views and downstream activity can justify investigation. None alone proves purchased traffic. Ask for platform-native reports, source breakdowns, post URLs and a clear measurement definition.

YouTube prohibits fake engagement. A supplier’s promise of guaranteed views should therefore prompt careful scrutiny of how the result is produced. Preserve evidence and separate confirmed facts from suspicions; do not accuse a provider based only on a cheap quote.

Treat attribution as a model

First-touch, last-touch and multi-touch systems assign credit under different rules. They do not automatically measure incrementality. Check identity matching, consent, missing events, attribution windows and CRM reconciliation when evaluating attribution tools.

Investors and operators need the underlying cohort, retention and contribution picture. A blended headline can conceal a small number of strong assets or a changing acquisition mix. Show distributions and denominators where available.

Use the result to choose a next test

A program with strong reach and weak qualified response may need a clearer audience or offer. A program with useful outcomes but high labor may need a better workflow. Inspect the actual bottleneck before adding accounts or budget. Keep the next experiment specific enough to learn from.

Distribution economics worksheet

Replace the illustrative inputs with your own evidence. Build and download a result you can review with your team.

Change the example inputs, then build your result.

The worksheet calculates in your browser. It does not connect to your social accounts. Examples are hypothetical. The site uses its usual analytics.

Put the evidence to work.

Can low CPM prove bot traffic?

No. It is a reason to inspect evidence, not a diagnosis.

Is multi-touch attribution causal?

Credit assignment does not by itself establish incrementality.

Does organic mean free?

No. Include production, review, tools and operating labor.

Research you can inspect.

Reviewed October 6, 2026. Primary documentation supports the linked factual claims; workflows and examples are our editorial recommendations. Product capabilities and policies can change. No vendor performance or enforcement benchmark was conducted.

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