Swishiy is an independent marketing measurement and paid-media intelligence firm that helps businesses reconcile platform-reported performance with actual business outcomes. The company audits tracking setups, builds server-side measurement infrastructure, and provides ongoing advisory services to identify budget leaks and guide scaling decisions. Its flat-fee model ensures recommendations are unbiased by ad spend, with services including profit leak audits, measurement architecture builds, and monthly paid-media intelligence retainers.
Funding
Funding not disclosed
Founders
Product
Problem
Most businesses rely on ad platform dashboards that report inflated or misattributed revenue, mixing branded demand with new-customer acquisition and failing to reconcile with CRM or backend data. This fragmented measurement leads to poor budget decisions, wasted spend on existing customers, and optimization toward metrics that don't reflect real business outcomes.
Solution
Swishiy provides independent marketing measurement and paid-media intelligence, sitting between a company's marketing stack and budget decisions. The company audits existing tracking setups, builds complete measurement infrastructure including server-side tracking, conversion APIs, and CRM revenue feedback loops, then reconciles platform-reported performance against source-of-truth business data. Swishiy offers a fixed-price Profit Leak Audit to identify waste and misattribution, a Measurement Architecture build for reliable signals, and an ongoing Paid Media Intelligence retainer for monthly account re-audits and budget guidance. The firm's flat-fee model ensures recommendations to scale, hold, or cut spend are unbiased by ad spend levels.
Target Audience
Primary customers are eCommerce and DTC brands, B2B businesses, marketing teams, and agencies that spend meaningfully across paid media and need independent measurement expertise to validate performance and guide budget allocation.
Features
- Profit Leak Audit: founder-led review of ad accounts, analytics, tracking, and revenue reconciliation, delivering a quantified written report with prioritized fixes and a green-light/red-light scalability view
- Measurement Architecture: server-side GTM, Meta Conversions API, Google Ads enhanced conversions, LinkedIn/TikTok/Microsoft conversion integrations, with browser+server deduplication and event ID validation
- Revenue feedback loops: CRM lifecycle stages (lead, qualified, opportunity, closed-won) mapped back to ad platforms so bidding optimizes toward pipeline and revenue rather than form submissions
- Consent-aware routing: CMP integration and Consent Mode with consent state carried into server-side processing, ensuring user choices are respected while permitted data isn't lost
- Measurement Acceptance Test: every build ends with a reconciliation document showing event firing, deduplication, consent behavior, CRM imports, and platform conversion comparisons against source of truth
- Paid Media Intelligence retainer: monthly account re-audits, measurement drift checks, new-vs-returning customer analysis, lifecycle audience mapping, and creative learnings from performance data