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Marketing & Demand Generation

Analyze campaign and social performance, identify audiences and signals, and connect them to outreach motions.

Bruce at work: Marketing & Demand Generation

Bruce
Bruce
Marketing & Demand Generation
Ads

This week

CISO campaign
412 clicks · 9 form fills · 1 meeting
Active
Spend is fine. The fills are the miss
9 names already closed-lost in CRM
Don’t buy more of the same titles
LinkedIn — product tour
Spend up · replies are ‘send a one-pager’
Hold
Creative is still the Q1 deck
That’s not a motion
Need you before more money goes on it
Audience
Accounts that match Northline + health systems
Done
Built from win accounts, not job titles
28 not in a sequence
3 already being worked by GTM
Handoff to outreach
28 names · GTM queue
Active
On the list, not a lead score
Sequence waits on GTM
Webinar no-shows from Thursday are in the same pile

Demand

Do we kill the CISO ads?

Demand•9:05 AM
Bruce

Don’t kill it. Kill the targeting. The fills are people we already lost. I built 28 accounts that look like Northline and aren’t in a sequence.

LinkedIn sits. They’re asking for a one-pager. That’s not outreach.

28 for GTM · LinkedIn hold

Bruce•9:06 AM

Put the 28 with GTM. Pause LinkedIn.

Demand•9:07 AM
Bruce

On the GTM list. Webinar no-shows from Thursday are in the same pile. LinkedIn is paused until you say it runs again.

Handoff done · LinkedIn paused

Bruce•9:07 AM
AdsLinkedInCRMWebMailbox

Industries

In your industry

The morning above is one company. This desk also runs in these industries.

SaaS · Ecommerce · CPG · All industries

Out of the box

What Bruce brings

The difference is what Bruce brings out of the box: a context graph, an execution graph, a feedback and eval layer, built-in enterprise execution, and a control plane.

  1. 01

    Context graph

    The picture of the enterprise stays current — structured and unstructured. Context is added, updated, and dropped when it goes stale. It is not a database we sell. It is the thing that dies in a thread.

  2. 02

    Execution graph

    Intent, then the tools, then a check, then recover, then done. Learned on real workflows. A miss does not kill the run.

  3. 03

    Feedback and evals

    Production traces, human corrections, failures, edge cases. Execution gets sharper from that. We score completion on ESE-1.

  4. 04

    Built-in enterprise execution

    The agents are already built. Role and workflow patterns from real businesses — sales, purchasing, finance, operations. Bruce already knows how that work runs.

  5. 05

    Control plane

    Permissions, approvals, what you can see, the log, and policy. Required if it acts on its own.

Bruce executes the business across the systems you already run. Connect the systems you run. In most cases it is working in under an hour.

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Also

Claude Cowork · ChatGPT Enterprise · OpenAI Frontier · Salesforce Agentforce · Microsoft Copilot Studio · 11x · Artisan · AiSDR · Regie

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