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Analytics

Viewing and understanding PPP discount analytics in the GoPayLocal dashboard.

GoPayLocal tracks the full discount funnel — from banner impression to coupon redemption — powered by Cloudflare’s Workers Analytics Engine.

The analytics dashboard shows four key metrics:

MetricDescription
ImpressionsNumber of visitors who saw the PPP banner
ClicksNumber of visitors who clicked the CTA button
CopiesNumber of visitors who successfully copied the coupon code
RedemptionsNumber of coupon codes used at checkout

The conversion funnel:

Impressions → Clicks → Copies → Redemptions
10,000 3,200 2,800 420
100% 32% 28% 4.2%

Filter analytics by:

FilterOptions
Date rangeToday, 7 days, 30 days, 90 days, custom range
CountryFilter by specific country or region
CampaignFilter by specific campaign
ProductFilter by specific product

View analytics broken down by country to see which markets are responding best to PPP discounts:

CountryImpressionsCopiesRedemptionsRate
India3,2008901344.2%
Brazil1,800420633.5%
Nigeria900310525.8%
Turkey650180274.2%

Compare performance across campaigns to identify the best discount strategies:

CampaignModeImpressionsRedemptionsRate
Pro MonthlyGroup (5-tier)8,2003123.8%
Pro AnnualPPP Factor4,1001984.8%
PlanRetentionExport
Free7 daysNo
Pro ($19/mo)90 daysCSV export
Business ($49/mo)365 daysCSV export
Scale ($99/mo)365 daysCSV export
Enterprise (Custom)365 daysCSV export

On Pro and Business plans, export analytics data as CSV:

  1. Set your desired filters (date range, country, campaign)
  2. Click Export CSV
  3. The file downloads with columns: date, country, campaign, impressions, clicks, copies, redemptions

Analytics data is available in near real-time (within seconds of events occurring), powered by Cloudflare’s Workers Analytics Engine. There is no batch processing delay.

Analytics track aggregate events, not individual users:

  • No personal data is stored
  • No cookies are used
  • IP addresses are used for geolocation but not stored
  • Country-level granularity only (no city or region data)