ABM

ABM Articles

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SaaS ABM Tech Stack: The Tools That Drive Pipeline at Scale

The SaaS ABM tech stack covers four functions: account identification and enrichment, intent signal aggregation, multi-channel campaign activation, and account-level attribution. The minimum viable stack is CRM plus G2 Buyer Intent plus LinkedIn Campaign Manager — costing $2,000-4,000/month. Advanced stacks add predictive scoring, website personalization, and multi-touch attribution for Series B+ companies.

Jordan Reeves

Apr 8, 2026 · ABM

ABM 2 min read

ABM Content Strategy: Creating Assets That Move Buying Committees

ABM content strategy maps content assets to buying committee roles and deal stages — not to generic buyer personas or content marketing goals. Effective ABM content includes role-specific value propositions for each stakeholder, account-level personalized assets for Tier 1 programs, and stage-specific content that advances deals rather than generating new leads.

Jordan Reeves · Apr 4, 2026

ABM 2 min read

Building Your Target Account List (TAL) from Scratch

A Target Account List (TAL) is the set of companies an ABM program focuses resources on — typically 200-2,000 accounts depending on company size and deal complexity. Building a high-quality TAL requires applying ICP criteria to market data, layering intent signals to surface in-market accounts, and tiering by potential deal value and conversion probability using an objective scoring model.

Jordan Reeves · Apr 1, 2026

ABM 2 min read

How to Measure ABM ROI: Pipeline, Velocity, and Account Engagement

Measuring ABM ROI requires account-level metrics — not MQL volume. The four core ABM measurements are account engagement rate (target accounts engaging with content), pipeline coverage (target accounts with open opportunities), pipeline velocity differential (deal speed in ABM vs non-ABM accounts), and win rate differential. These metrics tell the ABM story in terms leadership cares about.

Jordan Reeves · Mar 25, 2026

ABM 2 min read

Intent Data for SaaS ABM: G2, Bombora, and First-Party Signals

Intent data identifies which target accounts are actively researching your product category right now, before they engage with sales. For SaaS ABM, layering G2 Buyer Intent (review site research signals), Bombora (B2B content consumption patterns), and first-party behavioral signals creates a composite intent score enabling precise timing of outreach to accounts most likely to buy in the near term.

Jordan Reeves · Mar 21, 2026

ABM 2 min read

Mapping the 6-Person SaaS Buying Committee: A Tactical Guide

The average enterprise SaaS purchase involves 6-10 stakeholders, yet most ABM programs engage only 1-2 contacts per account. Buying committee mapping identifies every role in the purchase decision — economic buyer, technical buyer, end users, champion, influencer, and blocker — enabling account-based programs to engage the full committee with role-specific messaging simultaneously.

Jordan Reeves · Mar 13, 2026

ABM 2 min read

How to Build an ICP That Sales and Marketing Actually Agree On

Building a SaaS ICP that sales and marketing both trust requires grounding the definition in closed-won customer analysis — not hypothetical ideal buyers. Effective ICPs combine firmographic filters (company size, industry, funding stage) with technographic signals and behavioral trigger data drawn from your actual best customers, producing a scoring model both teams can apply independently.

Jordan Reeves · Mar 9, 2026

ABM 2 min read

Account-Based Marketing for SaaS: The Complete 2026 Framework

Account-Based Marketing (ABM) for SaaS concentrates sales and marketing resources on a defined set of target accounts rather than broad demand generation. Effective 2026 SaaS ABM combines ICP scoring, buying committee mapping, intent data activation, and coordinated multi-channel campaigns across LinkedIn, email, and paid — generating pipeline from the right accounts at the right time.

Jordan Reeves · Mar 5, 2026

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