Jellyfish

• Pricing model: Primarily custom-quote B2B agency engagements for media, creative, data, cloud, and CRM services; publicly visible fixed pricing exists for Jellyfish Training as per-seat course purchases, with many 1-day courses sold individually and private team sessions quoted separately.
• Starting price: $495 ex tax
• Typical range: $495-$1,099 ex tax per course seat
• Billing: Agency services appear to be custom-quoted; third-party directories indicate project-budget qualification and possibly hourly-rate profiling, while Jellyfish Training bills per course seat for scheduled courses and separately quotes private team sessions.

I found no public self-serve pricing page for Jellyfish's core agency retainers/projects on jellyfish.com; those services appear to be sold via custom quote/contact sales. The strongest concrete public numbers are from Jellyfish's own Training business, where multiple scheduled courses are openly priced at $495 or $549 ex tax for 1-day sessions and $1,099 ex tax for at least one 2-day course. Third-party directories add buyer-qualification signals but should be treated as directory-entered estimates rather than official agency pricing: DesignRush lists a minimal budget of $1,000-$10,000 and Clutch exposes the profile as having hourly-rate/min-project fields, though the accessible snapshot did not show numeric values; GoodFirms lists '< $25/hr', which is likely directory metadata and not a trustworthy representation of this global agency's actual commercial pricing.

Jellyfish appears to run engagements as a strategy-plus-execution partner: it aligns on business goals and metrics, audits the current setup, builds or connects data/reporting infrastructure, then executes campaigns or experimentation in an always-on test-and-learn model with ongoing reporting and optimization. The clearest direct evidence comes from Jellyfish’s own expertise and case-study pages, supplemented by a third-party review and an external case study describing Jellyfish’s onboarding and client-facing workflow.

1. 1

   Align on goals and metrics

   Jellyfish first works to understand the client’s business and align on strategy and success metrics. Its data team says it acts as an extension of the client team and aligns from the start on strategies and metrics before moving into delivery.

2. 2

   Audit the current setup and diagnose opportunities

   The engagement then moves into assessment of the brand’s current digital, data, or experience setup. Third-party coverage says Jellyfish analyzes a brand’s digital footprint against competitors and runs technical analyses, while Jellyfish case-study language describes clients asking it to audit and plan a roadmap before implementation.

3. 3

   Build the roadmap, infrastructure, and reporting layer

   After diagnosis, Jellyfish puts in place the operating foundation for delivery: customized marketing infrastructure, connected platforms and datasets, and bespoke reporting or dashboards. External evidence also indicates Jellyfish has formal onboarding workflows where clients can track progress in a centralized, customer-facing interface rather than through fragmented tools.

4. 4

   Segment audiences and design the solution

   Jellyfish then translates the strategy into a concrete plan for activation by defining audiences, journeys, content, or channel tactics. In the HBO case, that meant segmenting key audiences with Optimizely, Google Analytics, and internal data, then defining personalized experiences and a roadmap for implementation.

5. 5

   Launch campaigns, content, or experiments

   Execution is hands-on: Jellyfish builds and deploys media, creative, CRM, personalization, or other digital programs on the client’s behalf. Its own pages describe end-to-end delivery from concept to completion, and third-party reporting says its AI-assisted media workflow can automate campaign setup tasks, organize campaign data, and stand up reporting dashboards at launch.

6. 6

   Report transparently and optimize continuously

   Once live, Jellyfish works in an ongoing test-and-learn cycle, using dashboards, reporting, and experimentation to refine performance. Its site emphasizes bespoke reporting, continuous optimization, and testing, while older company material and external sources point to a transparent model and ongoing client visibility into work and progress.