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Dolphinze — Dolphinze

Dolphinze

Efficient early-stage Google + LinkedIn acquisition foundation.

Year
2024
Sector
Early-stage · Digital
Channels
Google Ads · LinkedIn
Focus
Efficient acquisition base

Dolphinze is a technology-led digital brand running paid acquisition across Google and LinkedIn in its early growth phase. As an emerging business still building traction and product-market validation, it depends on establishing an efficient acquisition foundation and a reliable flow of qualified traffic before scaling spend.

The client engaged us to run a multi-channel paid programme — Google Ads for demand capture and LinkedIn for targeted B2B reach — supported by analytics, to build early traffic, test messaging, and lay the groundwork for sustainable lead generation.

Dolphinze — Dolphinze
Dolphinze — Dolphinze

Client Brief

The brief was to establish an efficient early-stage acquisition engine: driving qualified clicks at a controlled cost, testing channel and audience fit across Google and LinkedIn, and building the analytics foundation to learn what converts. With the business early in its journey, the emphasis was on learning velocity and cost discipline as much as immediate lead volume.

The programme needed honest, granular reporting so that weak weeks could be diagnosed quickly and budget redirected toward the channels and audiences showing the most promise.

Dolphinze — Dolphinze

Campaign & Funnel Experience Strategy

We ran parallel Google and LinkedIn campaigns, using Google to capture search demand at low cost-per-click and LinkedIn to reach a targeted professional audience, optimising both week over week. In softer weeks, the focus shifted to diagnosing drop-offs, refining targeting, and protecting cost efficiency rather than forcing volume.

The funnel was treated as a learning system in its early phase — testing audiences, messaging, and channel mix to find the combinations that would reliably convert as spend scaled.

Dolphinze — Dolphinze

The Idea Behind the Strategy

The guiding idea was build-the-foundation-first: for an early-stage brand, the priority was efficient, well-instrumented acquisition and rapid learning, rather than chasing large lead numbers before product-market fit was clear.

The second principle was cost-disciplined experimentation. By keeping cost-per-click low on Google and testing LinkedIn audiences deliberately, the programme preserved budget while gathering the signal needed to scale confidently.

Dolphinze — Dolphinze

Technical & Martech Architecture

The programme combined Google Ads and LinkedIn Ads with GA4 analytics, tracking users, sessions, channel groups, and conversions to understand where engagement and intent originated. Per-period cost-and-click reporting kept spend efficiency visible across both channels.

Channel-group and location reporting were used to read early audience signals and guide where to concentrate future budget as the programme matured.

Dolphinze — Dolphinze
Dolphinze — Dolphinze

Across representative weeks, the programme maintained efficient media — blended Google cost-per-click around ₹0.80 and LinkedIn around ₹1.50 — while gathering early conversion signal, against a backdrop of week-to-week volatility typical of an early-stage account (including soft weeks with minimal leads). Projected across a year, this points to an estimated low hundreds of conversions as targeting and messaging mature, built on a deliberately efficient cost base.

The stack we run on.

  • Google AdsGoogle Ads
  • MetaMeta
  • Google AnalyticsGoogle Analytics
  • Tag ManagerTag Manager
  • Looker StudioLooker Studio
  • HubSpotHubSpot
  • GoogleGoogle
  • SemrushSemrush
  • Google AdsGoogle Ads
  • MetaMeta
  • Google AnalyticsGoogle Analytics
  • Tag ManagerTag Manager
  • Looker StudioLooker Studio
  • HubSpotHubSpot
  • GoogleGoogle
  • SemrushSemrush
  • Google AdsGoogle Ads
  • MetaMeta
  • Google AnalyticsGoogle Analytics
  • Tag ManagerTag Manager
  • Looker StudioLooker Studio
  • HubSpotHubSpot
  • GoogleGoogle
  • SemrushSemrush
  • Google AdsGoogle Ads
  • MetaMeta
  • Google AnalyticsGoogle Analytics
  • Tag ManagerTag Manager
  • Looker StudioLooker Studio
  • HubSpotHubSpot
  • GoogleGoogle
  • SemrushSemrush
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