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Case Studies

Case Studies

Research-backed growth breakdowns without fake result claims.

These case studies are written as public-footprint and category-learning breakdowns. They show how TMG would diagnose business context, funnel risk, acquisition logic, content direction, tracking, and execution priorities. Verified revenue numbers can be added later only when real client data is available.

No fake ROASNo invented sales numbersPublic signals + strategic diagnosisClear execution direction
Public research case01

Ant Esports — ecommerce hardware and gaming accessories

Ant Esports operates in a product-heavy gaming category: PC components, peripherals, accessories, cabinets, power supplies, storage, gaming chairs, and value-oriented hardware. The GTM challenge is not only traffic. The challenge is category clarity, product comparison, trust, availability, pricing logic, review proof, and direct-store conversion against marketplaces.

What TMG would review

Search demand, category pages, product-page proof, bundle opportunities, cart abandonment, review placement, GA4/Search Console signals, paid campaign structure, and marketplace-vs-website flow.

Likely growth leak

High product depth can create confusion if comparison pages, buying guides, filters, reviews, and retargeting journeys are not connected into one decision path.

Execution direction

Build category landing pages, product comparison content, offer bundles, stock-aware ads, remarketing flows, cart recovery, and a dashboard that separates traffic volume from buyer-quality signals.

Public research case03

Fly2Flight — travel booking platform conversion flow

Fly2Flight represents a travel-booking and flight-search journey where users compare routes, dates, prices, layovers, ticket classes, and convenience. In this category, the conversion problem is often not only demand. It is trust, speed, clarity, support availability, transparent pricing, and recovery of users who compare but do not finish booking.

What TMG would review

Search UX, filters, route pages, price clarity, support CTAs, booking friction, mobile speed, abandoned enquiry recovery, remarketing audiences, and SEO pages for high-intent travel searches.

Likely growth leak

Travel users often compare multiple platforms. If trust signals, cancellation clarity, support access, and price confidence are weak, the user leaves even when flight options exist.

Execution direction

Improve route-based landing pages, booking-flow trust modules, WhatsApp/support prompts, retargeting by destination interest, email/SMS recovery, and reporting that separates search users from serious booking intent.

How To Use This Page

Replace research cases with verified client stories when data is ready.

Keep the structure: context, what we reviewed, likely leak, execution direction, and verified outcome. Do not add revenue, ROAS, CAC, or conversion claims unless the source data is available and approved.

Recommended verified outcome fields

  • Before/after conversion rate
  • CAC or cost-per-lead change
  • ROAS or ROI movement
  • Revenue leakage fixed
  • 90-day execution summary
Case Study Framework

Context, diagnosis, execution direction, and verified proof belong in one clear story.

Context, diagnosis, execution direction, and verified proof belong in one clear story.