A 90-day ABM launch plan is the structured rollout B2B revenue teams use to move from decision to running operating model. Days 1 to 30 design the system. Days 31 to 60 ship the first plays. Days 61 to 90 measure, iterate, and decide. Skip the structure and the launch becomes a campaign that produces activity without pipeline.
Intent data is signal information that indicates which companies and individuals are actively researching a product, category, or solution at a given moment. In B2B, intent data is used to time outreach, prioritize accounts, and personalize advertising so that revenue teams act when buyers are in market rather than running on calendar cadence. The 2026 stack combines third-party, first-party, and product-usage signals into one routing layer.
An ABM platform is software that consolidates the account graph, intent layer, advertising layer, and orchestration layer into one workspace so that B2B revenue teams can run account-based marketing as an operating model rather than a campaign. The platform replaces a stack of point tools (data enrichment, intent feeds, ad targeting, orchestration scripts) with one integrated system that operates at the account level instead of the lead level.
Account-based marketing (ABM) in 2026 is a coordinated revenue motion where marketing, sales, and customer success target a defined list of high-fit accounts with personalized programs, intent-driven timing, and shared pipeline goals, instead of casting a wide lead-based net. The approach replaces individual lead scoring with account-level scoring, signal-based timing, and buying-committee orchestration.
A sales qualified account (SQA) is a marketing qualified account that sales has reviewed, accepted, and committed to actively work, with assigned ownership and a follow-up cadence. It is the account-level equivalent of the SQL and is the gate between marketing-driven engagement and sales-owned pipeline in account-based marketing programs.
A marketing qualified account (MQA) is an account whose combined fit and engagement signals exceed a defined threshold, indicating that the account is ready for sales engagement. The MQA is the account-level analog of the MQL and is the standard handoff unit in modern ABM programs because B2B buying is committee-driven rather than contact-driven.
An intent spike is a measurable surge in a B2B account's research activity above its baseline, signalling that the account has moved from passive consideration into active in-market behavior. It is detected through first-party engagement, third-party intent feeds, or both, and it is the timing trigger that converts ABM targeting into outbound action.
Firmographic segmentation is the practice of grouping B2B accounts by company-level attributes such as industry, employee count, annual revenue, geography, and ownership structure (public, private, PE-backed, VC-backed). It is the structural foundation of ICP definition, target account list construction, and account-based marketing prioritization across all motions, and it remains separate from behavioral or intent-based segmentation because firmographic attributes describe what an account is rather than what it is doing right now.
A buying committee is the group of stakeholders inside a B2B account who jointly evaluate, approve, and ratify a purchase. Modern enterprise software deals involve 8 to 12 stakeholders across champion, economic buyer, technical evaluator, end users, procurement, and security, and account-based marketing programs are designed to engage the full committee rather than only the champion.
An account fit score is a numerical or letter grade that measures how closely a specific company matches a vendor's ideal customer profile, based on firmographic, technographic, and behavioral inputs. Fit scores answer the question of whether a vendor should sell to an account, separate from whether the account is currently in-market.
Buyers asking about Snitcher alternatives are usually choosing between like-for-like account-level identification at a different price band and graduating to person-level resolution or full ABM orchestration.
RB2B and Warmly both deanonymize site visitors but solve different jobs. RB2B is low-cost US person-level reveal priced for self-serve. Warmly bundles reveal with chat and SDR triggers for warm outbound. Pick RB2B when the only need is anonymous visitor identification. Pick Warmly when the goal is SDR-led activation on those visitors.
RB2B and Warmly often show up in the same shortlist, but they solve different sides of the visitor problem. RB2B leans person-level identification with rep alerts; Warmly leans inbound AI chat plus account-level identification.