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Perksmith · Made for the next customer moment

Follow the numbers. Find the difference.

See campaign activity, reward costs and purchases in Perksmith. Separate what happened after an offer from evidence that the offer created additional business, so your next decision has a firmer basis.

A purchase total is the start of the question.

  1. What happened?Purchases and rewards used
  2. What did it cost?Messages and reward spend
  3. What changed?A suitable comparison
Review observed activity and costs, then use a suitable comparison to assess impact.

See the activity and the cost together.

Review participation, message delivery, rewards used and purchases under the reporting rules. Put message and reward costs beside them. Keep unused benefits separate from the cost of rewards already used, and export records to check the totals.

Ask what the campaign changed.

Purchases linked to a campaign are called attributed purchases; the link alone does not show cause. Growth and Scale support hold-back groups of customers who do not receive the campaign reward for comparison. Scale adds ongoing control groups and A/B splits for comparing two follow-up approaches. A credible comparison, clear timing and enough data help assess additional impact. Trial-run estimates stay separate from observed results.

A merchant compares purchase and reward records at a desk.
Review what happened after the offer.Compare purchase and reward records when assessing a campaign.

A promising total needs one more question.

Illustrative report: ₹50,000 of attributed purchases and ₹5,000 of reward cost describe association and cost. They do not establish extra profit caused by the campaign. A suitable comparison asks which purchases would otherwise not have happened, with uncertainty and other costs in view.

Before you call a campaign successful

Does attributed revenue mean the offer caused the sale?

No. Attribution links purchases to a campaign under defined reporting rules. Additional impact needs a suitable comparison.

Can I compare two customer journeys?

Scale supports journey A/B splits. Interpretation depends on the groups, sample and chosen outcome.

Are trial-run estimates real campaign results?

No. They help you plan possible choices. Observed outcomes and estimated outcomes remain separate.

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