BARK

• Pricing model: Custom-quoted agency engagement, most likely a monthly retainer for ongoing performance marketing services, with project-based work also possible. The company positions itself as a specialist performance marketing agency delivering paid media, creative, and data science for ecommerce brands rather than a self-serve package or pay-per-lead offer.
• Starting price: $5,000+ project minimum
• Billing: Likely monthly retainer for ongoing services; Clutch also lists an hourly rate band of $300+ / hr, but Bark's own site does not publish billing mechanics.

I found no direct public price list, package table, retainer menu, or setup/onboarding fee on Bark's own website. The only concrete public pricing figures I found are third-party directory figures on Clutch, which lists BARK.London with a minimum project size of $5,000+ and an hourly rate of $300+ / hr; these appear to be directory-supplied profile data, not prices published on Bark's own site. Bark's own site strongly suggests bespoke engagements for ecommerce brands and repeatedly frames the relationship as an ongoing growth partner across paid media, creative, and data science, which supports a custom retainer-style model rather than per-lead or pay-on-performance pricing.

BARK engagements appear to start with a growth brief or pitch, then move into diagnosing channel and data issues, building an integrated strategy across paid media, creative, and data science, launching or restructuring campaigns, and then running a recurring cycle of testing, weekly updates, reporting, and optimisation. Evidence for customer-experience details is limited because BARK's Clutch profile is still not reviewed, but BARK's own case studies and approach pages consistently describe this sequence.

1. 1

   Define the growth brief

   The engagement begins with the client setting a measurable growth objective and selecting BARK after a call or pitch process. In BARK's case studies, clients brief them to improve acquisition efficiency, profitability, market expansion, or overall paid-media performance.

2. 2

   Audit channels, tracking, and constraints

   BARK then assesses the current paid-media setup and underlying data quality before scaling. Their case studies describe identifying issues such as poor event flows, fragmented campaign structures, limited creative workflows, and other blockers to growth.

3. 3

   Build an integrated media-creative-data strategy

   Next, BARK designs a combined plan spanning full-funnel paid media, creative strategy, and data science rather than treating these as separate workstreams. Their site repeatedly frames the service as an integrated approach across search/social, ad creative, and measurement or forecasting.

4. 4

   Set up reporting and feedback loops

   Before or alongside execution, BARK puts reporting and decision-support in place so the client can see performance clearly and approve or guide creative decisions. Evidence includes references to easy data visualisation, live reporting through Bark.Insights, clear creative reporting, and an end-to-end feedback process with the client.

5. 5

   Launch or restructure campaigns and creative production

   BARK then implements the strategy in-market by restructuring accounts or launching campaigns across channels while feeding in new creative assets. Case studies describe full-funnel campaign builds, campaign-structure changes, localisation for different markets, creator/content pipelines, and consistent production of high-performing creative.

6. 6

   Run experiments and weekly optimisation

   After launch, BARK continuously tests hypotheses and validates changes through experiments instead of relying only on platform-reported results. Their materials describe weekly updates, proactive account changes, conversion-lift studies, incremental attribution tests, MMM-informed decisions, and a repeated process of testing, proving improvements, implementing optimisations, and then moving to the next one.