Case Studies

Incremental revenue contribution, conversion uplift, repeat purchase impact, and blended CAC improvement.

By attributing orders to tracked referral/affiliate journeys and separating influenced revenue from baseline performance.

Typically: link tracking, widgets/entry points, sharing flows (often WhatsApp-first), reward/commission rules, and payout automation.

Common changes: moving from coupon-only flows to link-led flows, reducing steps, and placing prompts at higher-intent touchpoints.

Most setups are fast once access is granted and the offer is finalized; deeper optimization happens iteratively.

Clear offer design, basic policy decisions (eligibility/returns), and the required store access for installation/configuration.

Rewards/commissions are approved only after validation checks and the return window, with rules to block misuse.

Yes—AOV, margins, repeat cycle, and customer advocacy level influence outcomes; case studies note what worked best where.

Reduce friction (auto-apply where possible), optimize touchpoints, tighten copy/templates, and align reward value to intent.

Compare AOV, margin, monthly order volume, repeat rate, and traffic mix—then match the offer + touchpoint strategy accordingly.