Pipeboard

Customer stories

Stories from the teams running the accounts.

Learn from the marketers who build campaigns faster, catch problems sooner, and spot trends and opportunities before everyone else.

Used by teams and partner agencies working with

McDonald'sPumaSonyUnileverRenaultThe North Face

Gauntlet AI

Story 01 of 03

In-house teams · Education & training

The campaign that took weeks, live in one afternoon.

Gauntlet AI needed paid search to hire software engineers. The build was briefed out to specialists, and every change waited on the next round trip.

“The work is the same. What disappears is the assembly line.”
Tom Babb

Tom Babb

Director of Marketing, Gauntlet AI

From his talk, Distribution Is The New Moat

The story in four steps

  1. 01

    The job

    Hire software engineers, with paid search as the channel that reached them.

  2. 02

    What got in the way

    The build ran 20 to 50 hours of specialist work, so it was briefed out — and every change waited on another round of briefing and approval.

  3. 03

    What changed

    The research and the business context went to Claude, which built the campaign directly in the live account.

  4. 04

    The result

    The campaign was live the same afternoon, and a scheduled task has reported on the accounts every morning since.

35 min

from research brief to a live campaign

20–50 h

of manual build work the campaign used to take

$2.9K/mo

idle spend surfaced in one routine check-up

< 1 min

from approval to the change confirmed in the account

LangChain

Story 02 of 03

In-house teams · AI developer tools

Paid media went from zero to a fifth of the pipeline in six months.

For three years LangChain's pipeline grew on open source, YouTube, community and meetups. In January the team set out to add five paid channels in six months, with the marketing team it already had.

“Treat agents like knowledge workers. The strongest results came from giving the agent a well-designed workspace with a sandbox, software, business context, and clear operating instructions.”

LangChain

Key takeaway from their engineering write-up

How We Built LangChain's Paid Media Agent · September 2026

The story in four steps

  1. 01

    The job

    Scale from a largely organic growth engine to five paid channels in six months, reaching the prospects content and community were not reaching — new regions, enterprise decision makers.

  2. 02

    What got in the way

    Every ad platform has its own data schema, so performance could not be reconciled across channels, and campaign parameters did not map cleanly to the outcomes that mattered: sales inquiries, signups, content downloads. As campaigns multiplied, tracking what was running, what was working and what to try next became hard to manage by hand.

  3. 03

    What changed

    An agent now combines ad-platform data with leads and pipeline from the warehouse every Monday, posts what changed and why, answers follow-up questions in the thread, and proposes keywords, targeting changes and new campaigns for the team to approve.

    Pipeboard's tool catalog lets the agent search for the right advertising tools before loading their full schemas, reducing the initial tool context from ~38K to ~12K tokens.

  4. 04

    The result

    Paid media became a fifth of marketing pipeline, and the cost of a qualified lead fell while spend scaled — 40% below January on LinkedIn, their largest social channel.

20%

of marketing pipeline, from zero in six months

−30%

cost per qualified lead, June to August

+60%

monthly spend over the same period

~$5K/mo

saved bringing analysis and reporting in-house

An Oscar-winning film studio

Story 03 of 03

Awards display in a film studio office, with the Hollywood hills beyond the window

Film & entertainment · Global

Every release, every market, changed one ad at a time.

An Oscar-winning independent film studio launches each movie across multiple markets and platforms at once.

“Pipeboard has been incredible at speeding up our ad building process, as well as allowing us to make quick changes across many ads at the same time.”

Paid Media & Research

An Oscar-winning independent film studio

The story in four steps

  1. 01

    The job

    Launch and manage campaigns for new movie releases across multiple markets.

  2. 02

    What got in the way

    Each launch meant campaigns spread across many platforms and markets, which made it hard to move quickly and keep everything up to date.

  3. 03

    What changed

    Ad building got faster, and changes could be made across many ads at once rather than one at a time.

  4. 04

    The result

    Faster campaign execution, and a change that lands across a whole launch without touching each ad individually.

Spot trends and opportunities before everyone else.

The teams in these stories do not wait for a monthly deck. A scheduled task reads the accounts on their own cadence — every morning at Gauntlet AI, every Monday at LangChain — and the follow-up questions get answered in the same thread.

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Customer figures as published or verified with the customer. Names used with consent.