All skills

account-based-marketing

Run ABM programs — target account selection, personalized campaigns, sales orchestration, and account-level measurement.

Use this skill

  1. Read the full skill below — it’s all right here on this page. When you like it, hit copy.
  2. Paste it into a chat with Muse and add: “Please use this skill whenever I ask about account based marketing. Remember it for our future conversations.”
  3. That’s it. Muse follows the playbook for relevant tasks, and you approve anything it does.
View raw on GitHub ↗

The full skill

Overview

Account-based marketing flips the funnel: instead of attracting many leads, you target specific high-value accounts with personalized, orchestrated campaigns. This skill covers ABM strategy (1:1, 1:few, 1:many), account selection, personalization at scale, sales orchestration, and measuring account engagement and pipeline.

ABM fits where deal sizes justify the effort — typically enterprise and strategic mid-market.

When to use

  • Targeting enterprise or strategic accounts

  • Breaking into named accounts

  • Expanding within existing key accounts

  • Aligning marketing spend with sales priorities

  • Improving win rates on large deals

  • Measuring marketing impact at the account level

  • Expanding within existing enterprise accounts (land-and-expand plays)

  • Re-engaging stalled opportunities with multi-threaded outreach

  • Defending key accounts from competitors

  • Launching industry-specific solutions

Core concepts

ABM tiers. 1:1 (a handful of strategic accounts — fully bespoke campaigns), 1:few (clusters of similar accounts — personalized by segment), 1:many (hundreds of accounts — programmatic personalization). Match tier to account value.

Account selection. Marketing + sales jointly select: fit (ICP match), intent (showing buying signals), relationship (existing connections), and strategic value. Review quarterly — account lists go stale.

Buying committee mapping. For each target account: identify the 6–10 stakeholders, their roles, pains, and relationships. Personalize by persona within the account — the CFO and the end user need different messages.

Orchestrated plays. Coordinated touches across channels and people: marketing runs targeted ads + personalized content; SDRs run tailored outreach; executives do peer-to-peer outreach; events invite the account. Same account, same message, same timeframe.

Personalization depth. Tiers of personalization: account name/logo (table stakes), industry-specific content, account-specific insights (their earnings call themes, hiring patterns, tech stack), and truly bespoke assets (custom analysis for 1:1 accounts). Depth scales with tier.

Account-level measurement. Engagement (account scoring: web visits, content downloads, ad clicks, meeting activity aggregated per account), pipeline (opportunities at target accounts), win rate, deal size, and sales cycle vs. non-ABM accounts.

Engagement scoring at the account level. Roll individual touches up to an account score: website visits, content downloads, ad engagement, meeting activity, and stakeholder coverage weighted by persona importance. Set thresholds that trigger sales action — e.g., score 75+ with 3+ engaged stakeholders = SDR sequence launch. Review thresholds monthly; stale thresholds either spam sales or miss buying windows.

Intent data. Third-party signals (content consumption, review site visits, tech installs) indicating active buying research. Layer intent over your account list to prioritize outreach timing. Validate intent providers — signal quality varies enormously. Treat intent as a prioritization input, not a trigger for creepy outreach.

Practical workflow

  1. Select accounts with sales. Joint workshop: score candidates on fit, intent, and strategic value. Assign tiers. Get sales commitment — ABM without sales buy-in is just expensive advertising.
  2. Research deeply. Per account (depth by tier): business priorities, trigger events (funding, leadership changes, expansions), tech stack, buying committee members and their public content, competitor relationships.
  3. Build plays. For each tier: the orchestrated sequence (e.g., week 1: personalized ads + SDR outreach; week 2: custom content + executive email; week 3: event invitation). Define roles: who does what, when.
  4. Create personalized assets. Account-specific landing pages, industry playbooks, custom ROI analyses for 1:1 accounts. Build templates that make 1:few personalization efficient.
  5. Execute in sync. Launch plays with sales. Weekly standup during active plays: account engagement review, next moves, blockers. Marketing and sales operate as one team per account.
  6. Measure at the account level. Account engagement scores, meetings booked, pipeline created, win rate and deal size vs. baseline. Report per-account progress to sales — they care about their accounts, not aggregate MQLs.

ABM play example (1:few): Week 1–2: targeted ads + SDR personalized outreach → Week 3: industry-specific webinar invitation → Week 4: custom content piece + executive peer email → Week 5–6: direct mail + meeting push → ongoing: nurture + intent monitoring.

Tiered ABM model: 1:1 (5–20 strategic accounts; fully bespoke campaigns, executive engagement) → 1:few (20–100 clusters by industry or need; lightly customized plays) → 1:many (100–1,000 accounts; programmatic personalization via ads and content). Match investment to deal size — 1:1 for six-figure+ opportunities only.

Account plan one-pager: account objectives → key stakeholders (map with influence levels) → known pains and initiatives → our value hypothesis per stakeholder → engagement plan (tactics by quarter) → success metrics (meetings, engagement score, pipeline). Review monthly; retire accounts that do not engage after two quarters.

1:few cluster play (template): pick a cluster (e.g., 40 mid-market SaaS CFOs) → research shared pain (e.g., SaaS spend sprawl) → create cluster-specific asset (benchmark report) → run targeted ads + SDR outreach referencing the asset → invite to executive roundtable → measure meetings booked and pipeline per cluster. Repeat quarterly with new clusters; retire clusters that do not engage after two cycles.

Common pitfalls

  • Marketing-only ABM. Running "ABM" as ad campaigns without sales orchestration. ABM is a go-to-market motion, not a tactic.
  • Too many accounts. Spreading personalization so thin it's generic. Fewer accounts, deeper plays.
  • Stale account lists. Targeting the same accounts for a year regardless of signals. Refresh quarterly.
  • Shallow personalization. Slapping a logo on a generic ebook. Personalize the insight, not just the branding.
  • Measuring leads. ABM success is account engagement and pipeline, not form fills.
  • No sales commitment. Sales ignoring marketing's ABM efforts. Joint selection and joint accountability from day one.
  • Giving up too early. Enterprise cycles are long. ABM plays need 2–3 quarters to show pipeline impact.
  • ABM as just targeted ads. Running display ads to an account list and calling it ABM. Real ABM orchestrates sales, marketing, and executives around the account.
  • Marketing-only account selection. Accounts chosen without sales buy-in get ignored. Selection is a joint exercise with joint accountability.
  • No exit criteria. Keeping unengaged accounts in ABM motions forever. Two quarters without engagement = rotate out.
  • Vanity account engagement. Celebrating ad impressions on target accounts. Impressions are not relationships — measure meetings and pipeline.
  • Sales-marketing misalignment. Marketing running ABM without sales partnership. Joint account selection, joint planning, joint accountability — or it fails.
  • Ignoring existing relationships. Treating target accounts as cold. Map existing connections first — warm paths outperform cold plays.
Source: GitHub ↗License: MITAuthor: awesome-muse-skills