How is GTM Brigade configured differently for Series B–C versus earlier stages?

Series B–C means multi-pod watchlists, multiple exec voices, and CRM attribution at scale. Earlier stages run on a single 120-profile watchlist and one founder voice. At Series B–C, you typically have 4–8 segment pods (e.g. enterprise vs mid-market, by vertical, by region), each with its own 80–150-profile watchlist. You have 2–4 exec voices (founder, CMO, CRO, VP Product). And HubSpot attribution becomes a board-level metric, not a directional indicator.

What size revenue team does this fit?

25–80 reps spanning sales, SDRs, customer success, and marketing operations. Below 25, the multi-pod configuration is overkill — the founder-led 5-to-25 playbook fits better. Above 80, the configuration shifts toward our enterprise-revenue-org playbook with regional tenant segmentation and dedicated customer success engineering. The Dominate tier (unlimited enrichment, unlimited AI credits, custom seat count) is the right tier for 25–80 rep deployments.

How long does deployment take at Series B–C scale?

21 days. Days 1–7 are exec voice-model setups (supervised drafting per voice (2–4 voice owners)), pod definition, and watchlist builds per pod. Days 8–14 are HubSpot or Salesforce sync, Slack routing per pod, and team training. Days 15–21 are calibration — adjusting watchlist composition, voice tuning per exec, and signal routing thresholds based on first-week feedback. Single-tenant deployments take 14 days; multi-pod takes the extra week.

What does GTM Brigade integrate with for Series B–C revenue ops?

HubSpot and Salesforce contact sync — your tool reads contacts and deals so the watchlist stays anchored to real pipeline with the LinkedIn-sourced attribution lane wired into custom properties and revenue reporting. Slack handles per-pod signal routing. Sales Navigator data enriches watchlists. Most Series B–C teams pair GTM Brigade with their existing cold-email sequencer rather than replace it, using LinkedIn engagement as the warm-up layer in front of outbound and your tenant attribution as the unifying source of truth.

How is this different from giving each rep a Sales Navigator seat and hoping?

Sales Navigator is a searchable database. GTM Brigade is the daily engagement workflow on top of that database. Navigator tells you the 8,000 in-market accounts exist. GTM Brigade tells each rep which 80–150 profiles to engage with this morning, drafts the comment in the right exec voice, routes the signal to Slack, and writes the touch back to HubSpot. Series B–C teams typically keep both — Navigator for discovery, GTM Brigade for execution and attribution.

For Series B–C revenue teams scaling LinkedIn at scale

The problem you're trying to solve

You're at Series B or C with a revenue team of 25–80 people, and LinkedIn is producing visibility instead of provable pipeline. The founder still posts. The CMO has a ghostwriter producing two threads a week. SDRs are "active on LinkedIn" in some abstract way. The CRO is asking — on the next board call — how much pipeline LinkedIn produced last quarter, and the answer is some variation of "it's hard to attribute."

What it looks like in practice: there's no coordinated watchlist across pods. Enterprise SDRs are engaging on different buyers than mid-market AEs. Customer success leaders are posting expansion-focused content but it lands with no team amplification. The CMO ships a high-effort campaign with great impressions but zero traceable pipeline. Every team is "on LinkedIn" and no team is moving the metric that matters at this stage: LinkedIn-sourced bookings as a percentage of new ACV.

Worse, at Series B–C the board cares. "Brand reach" doesn't pass the next funding round. You need a number you can defend, and you need a system that produces that number reliably across 25–80 people without weekly heroics.

You need multi-pod coordination, multi-exec voice scaling, and CRM attribution at scale — exactly the gap the RevOps workflow is built to close from the attribution side.

What GTM Brigade configures on day one

Day one at Series B–C: 4–8 segment pods with their own watchlists, 2–4 exec voice models, HubSpot or Salesforce attribution at scale, and the Dominate tier covering unlimited enrichment and custom seat count.

The multi-pod watchlist

We segment your 25–80 rep team into 4–8 pods — typically by segment (enterprise vs mid-market vs SMB), by region (NA vs EMEA), or by product line. Each pod gets its own 80–150-profile watchlist mapped to that segment's ICP and active pipeline. An enterprise SDR doesn't engage on mid-market buyers; a regional team doesn't engage on out-of-region accounts. Each pod's reps see only their pod's feed in priority order each morning.

Multiple exec voices, captured

At this stage, the founder isn't the only voice — the CMO, CRO, and VP Product all post and all need amplification. We run supervised drafting per voice and feed each into its own voice model. When an SDR drafts a comment on behalf of "the company," the system picks the right voice for the context.

Signal routing per pod

Slack channels are configured per pod. When a watchlist person posts, comments, or DMs anyone, the signal fires in near real time to the right pod's channel. No cross-pod noise.

HubSpot or Salesforce attribution at scale

Every engagement writes back to your CRM with a LinkedIn-sourced attribution flag through our LinkedIn-to-HubSpot sync. Revenue ops surfaces it as its own pipeline lane in the next QBR — and the next board deck.

What the first 90 days look like

By day 21 the multi-pod configuration is live, by day 60 daily engagement is routine across all pods, by day 90 LinkedIn-sourced pipeline crosses 15% of new bookings.

Days 1–21: Pod definition, voice-model setups, watchlists built per pod, CRM sync, team training. First wave of coordinated engagement shipped.
Days 22–60: Daily engagement becomes routine across the team. Per-pod comment volume on ICP posts goes up 4–6×. Revenue ops starts tracking the LinkedIn-sourced lane weekly.
Days 60–90: LinkedIn-sourced bookings cross 15% of new ACV. The metric becomes board-defensible.

What this is not a fit for

Skip GTM Brigade if you're not yet at this stage, you're past this stage, or your revenue team doesn't have a defined ICP per pod.

You're not yet at this stage. Below 25 reps you don't need multi-pod configuration. The founder-led 5-to-25 playbook fits better and the Business tier is the right price.
You're past this stage. Above 80 reps you need enterprise-tier configuration with dedicated customer success engineering and regional tenant segmentation — the enterprise revenue orgs playbook covers that scale. The Dominate tier still works but the playbook shifts.
Your pods don't have defined ICPs. If your enterprise and mid-market teams are chasing the same accounts with the same playbook, pod segmentation can't produce useful watchlist separation. Fix the ICP work first.

How to know if this is the right play for you

A 30-minute walkthrough with one of our strategists is the fastest qualification path. Bring your team org chart, your CRM segment definitions, and your last quarter's pipeline mix by segment. We'll sketch what the 4–8 pod watchlists would actually look like, walk through the multi-exec voice model setup, and tell you within the meeting whether GTM Brigade fits — or whether your pod definitions need sharpening before the configuration will produce real attribution.