Case studies

How teams use Ocean

Real stories from go-to-market teams who use Ocean to find, segment, and target the right accounts.

Clay case study

Clay

Clay scales lookalike matching with Ocean's API

Clay integrated Ocean's Company and People Lookalikes to help their go-to-market customers build smarter expansion lists — without standing up an ML team.

1.5M+ actions run Read story
Monta case study

Monta

How Monta used Ocean to fill their new market pipeline

Monta used Ocean's Lookalike Search to build a hyper-targeted account list for the French market — and closed a deal 11 days after the list was created.

11 days to first deal Read story
Tele2 IoT case study

Tele2 IoT

How Tele2 IoT pinpointed in-market prospects with Ocean

Tele2 IoT used Ocean's Intent Data to find accounts actively researching IoT — entering conversations before competitors even knew the opportunity existed.

In-market before competitors Read story
LeadBird case study

LeadBird

LeadBird improves cold email efficiency with Ocean

LeadBird replaced their manual, unreliable list-building process with Ocean's Lookalike Search — booking 20–30 meetings using data they could trust from day one.

20–30 meetings booked Read story
Cross-Border Communications case study

Cross-Border Communications

How CBC improved campaign efficiency with Ocean

CBC put Ocean's AI-generated account lists head-to-head against their own hand-picked targets — and Ocean outperformed on every metric.

23% lower cost per MQL Read story
Leadinfo case study

Leadinfo

How Leadinfo doubled their demo rate entering new markets

Leadinfo used Ocean's Lookalike Search to scale into the UK, DACH, and Scandinavia — doubling their demo booking rate in the first week.

2× demo rate in week one Read story
DigiPly Media case study

DigiPly Media

How DigiPly Media builds stronger lead lists with Ocean

DigiPly Media replaced hours of manual list-building with Ocean's Lookalike Search — and closed their biggest client to date just 10 days after purchase.

10 days to first close Read story
Surfe case study

Surfe

How Surfe uses Ocean to automate lookalike prospecting at scale

Surfe integrated Ocean's lookalike API into their LinkedIn-to-CRM platform — giving their users an automated way to expand prospect pools without any manual research.

100+ users in early rollout Read story
Brandwatch case study

Brandwatch

How Brandwatch uncovered their full TAM with Ocean

Brandwatch's SDR team was running dry on accounts in Central and Northern Europe. Ocean filled those data gaps — and gave them confidence they were reaching every company that could buy.

Full market coverage Read story
Zen Media case study

Zen Media

How Zen Media raised lead quality by 25% with Ocean

Zen Media replaced broad LinkedIn industry targeting with Ocean-powered lookalike audiences — and immediately saw a 25% improvement in their lead quality scores.

25% higher lead quality Read story
Netmore case study

Netmore

How Netmore grew their prospect pipeline by 900% with Ocean

Netmore's sales team was spending hours on Google searching for relevant prospects in a highly niche market. Ocean replaced that process — delivering 900% more prospects per month.

900% more prospects/month Read story
Electric House case study

Electric House

How Electric House finds higher-quality leads with Ocean

Electric House needed prospects with the right web traffic and social media presence in the UK. Ocean was the only tool that could surface them — and the quality difference was immediate.

Higher quality than any tool Read story
Brandbassador case study

Brandbassador

How Brandbassador put prospecting on autopilot with Ocean

Brandbassador's SDRs were spending entire days finding new accounts. Ocean replaced that with a reliable, repeatable flow of qualified prospects — in a fraction of the time.

Prospecting on autopilot Read story
Scalestack case study

Scalestack

How Scalestack uses Ocean to scale targeted outreach for their customers

Scalestack integrated Ocean's lookalike API to expand their customers' prospect pools automatically — then layers on AI prioritisation so revenue teams know who to reach out to first.

Full top-of-funnel pipeline Read story

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