Promo Code Report — Detail View

Promo Code Report: How to Read the Detail View

The Detail tab under Analytics → Promo Codes gives you one row per promo code — a unique code for targeted campaigns, distinct from automatic bonus-on-top-up rewards. Each row shows: how many times the code was activated, how many unique client accounts used it, how much revenue those clients generated, and how many bonus credits were issued. To open it: Analytics → Promo Codes → Detail tab → set the date filter. This is where you see which campaigns actually convert into revenue and which only drain your bonus budget without return — compare revenue per activation across codes to identify formats worth repeating. For an aggregated picture across all codes for a period, switch to the Summary tab.

What the Detail Report Shows

One Row per Code

Every row in the detail table corresponds to a single promo code. Key columns:

Column	What it means	How to use it
Promo code	The code string or campaign name	Campaign identification
Activations	Total times the code was applied	Campaign reach
Unique clients	Distinct accounts that activated	Distribution quality
Bonuses issued	Total bonus credits granted	Campaign cost
Revenue	Payments from clients who activated the code	Return on investment
Period	Active dates of the code	Campaign context

Activations vs. unique clients. When activations significantly outnumber unique clients, one account is applying the code multiple times. This either means no per-account limit is set, or users are working around limits with multiple accounts. See Discounts and Promo Codes for limit configuration.

Revenue per Activation: the Core Efficiency Metric

Absolute revenue does not tell you whether a code performed well. A code with 1,000 activations and 50,000 in revenue can be worse than one with 100 activations and 30,000, when you look at per-client efficiency.

Calculate revenue per activation:

Revenue per activation = Revenue from code ÷ Number of activations

Comparing this metric across campaigns is the fastest way to identify which format attracts higher-value traffic. A collaborator code with above-average revenue per activation is a signal to repeat that format. A high-activation code with low revenue per activation means clients claimed the bonus but did not stay.

Bonuses Issued: the Cost of the Campaign

The Bonuses Issued column shows how much bonus balance the campaign distributed — your direct cost for the promotion.

The ratio of bonuses issued to revenue is an ROI proxy:

Ratio = Bonuses issued ÷ Revenue × 100%

Ratio	Interpretation
Under 15%	Efficient: bonus cost is low relative to revenue generated
15–30%	Moderate; depends on campaign goal (retention vs. acquisition)
Above 30%	Expensive relative to return — review bonus amount or activation terms

These thresholds are parametric. For your club, the “good” ratio depends on your average AOV and tariff margin. Calculate from your own baseline AOV, not from absolute figures.

Filtering and Comparing Data

Date Filter

The report shows promo codes that had activations within the selected period. A code created earlier but still active will appear if it received activations within the filter range.

Useful pattern: set the filter to a single campaign’s active month — you see only the codes belonging to that event.

Comparing Two Campaigns

To compare campaigns that ran at different times:

1. Note the key metrics for the first campaign (revenue per activation, bonus ratio)
2. Adjust the date filter to the second campaign’s period
3. Compare the same metrics

IZI does not offer a side-by-side two-period comparison on a single screen — for parallel comparison, use the CSV export and merge the data in a spreadsheet.

Exporting Data

The export button in the top-right corner downloads the full detail table as CSV. Useful for:

• Quarterly reviews of campaign effectiveness
• Sharing with a marketing manager or partner
• ROI calculations in external tools

Signals and Actions: What to Do with the Data

Code That Does Not Convert

Signal: high activations, low revenue, bonus-to-revenue ratio above 30%.

Possible causes:

• Clients claim the bonus but do not return
• Bonus amount is too small to trigger a first payment
• Code is reaching the wrong audience

Actions:

1. Check individual client records from the campaign — how many made a follow-up payment?
2. If repeat payments are rare, consider adding a condition: “bonus unlocks on first top-up above X”
3. If the audience is off-target, narrow the distribution channel

Code Being Used Up by a Single Client

Signal: activations much greater than unique clients (e.g., 50 activations, 5 unique clients).

Action: in the promo code settings, add a “1 activation per account” limit and cap total activations. See Discounts and Promo Codes for abuse-prevention details.

High-Performing Code

Signal: revenue per activation above average for your other codes, bonus ratio below 15%.

Action: record the parameters that made this campaign work:

• Distribution channel (influencer, offline, email)
• Bonus amount and activation condition
• Timing (day of week, season)

Replicate these settings in the next campaign.

Parametric Approach to Campaign Planning

Promo codes have predictable economics if you set a clear goal before launch.

Planning formula:

Target activations = Expected revenue lift ÷ Target revenue per activation

Campaign budget = Target activations × Bonus amount per activation

Substitute your own numbers:

• Target revenue per activation = your average AOV × a coefficient (e.g., 0.5–1.5 depending on campaign type)
• Bonus amount = the percentage of AOV you are willing to invest in acquisition

If your AOV is N and you want the code to pay back within a single visit, revenue per activation must be at least N. That means the bonus amount should not exceed N × (your target ROI percentage).

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Illustrative scenario (substitute your own figures). A club launches a code for a partner channel. Forecast: 200 activations, partner audience AOV ~1.5× club average, bonus = 10% of AOV. If the forecast holds, the bonus-to-revenue ratio is approximately 10% — the campaign is efficient. If only 50 activations occur and revenue is below forecast, the issue is audience quality in that channel, not the promo code format. The detail report is exactly where you see this.

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Typical Promo Code Use Cases

Promo codes serve different goals — evaluate them accordingly:

Scenario	Success metric	What to watch in the report
Club opening	Activation rate vs. codes distributed, repeat visits	Unique clients, revenue trend after campaign
Influencer collaboration	Revenue per activation vs. integration cost	Revenue ÷ activations, bonus ratio
Referral program	New clients acquired through the code	Unique clients with registration date in campaign window
Corporate client	Revenue volume on a personal code	Revenue, activation frequency
Lapsed-client reactivation	Return of accounts with zero recent activity	Unique clients, prior payment history

Related Sections

• Promo Code Report — Summary — aggregated view across all promo codes for a period on one screen
• Discounts and Promo Codes: Setup and Protection — how to create a promo code, set limits, and prevent abuse
• Bonus Report — Metrics — how promo code spend relates to the overall loyalty program
• Daily Analytics — day-level revenue slice to see the effect of a campaign over time
• AOV for Gaming Clubs — average order value as the base parameter for evaluating promo effectiveness