Traditional opportunity qualification focuses on individual lead scoring — did this person’s
company fit our ICP, did they download enough content, did they attend a webinar?
In this use case, you shift to account-based qualification, where you’re evaluating whether the
entire account is truly engaged, whether you’ve reached the full buying group, and whether their
activity patterns suggest serious buying intent or casual research.
You’ll integrate account-based intelligence into how sales qualifies opportunities, manages
deals, and forecasts outcomes. You’ll use intent signals to validate that opportunities are real,
using buying group data to ensure you’re multithreaded, and engagement patterns to identify
deals at risk of stalling or competitors gaining ground.
The maturity progression breaks down like this:
Crawl
The account-based sales motion is integrated into deal management processes. Sales qualifies
6QAs (6sense Qualified Accounts) rather than just MQLs, looking at account-level engagement
and intent rather than individual form fills. Reps proactively engage multiple stakeholders rather
than single-threading whoever raised their hand. Qualification includes questions like:
- Is this account in our ICP?
- Are they showing intent?
- Have we identified the buying committee?
- What buying stage are they in?
Walk
Sellers use automated alerts to monitor current opportunity engagement — getting notified
when an account in their pipeline suddenly shows new intent, when additional buying group
members start engaging, or when engagement goes cold suggesting the deal might be at risk.
They’re using competitive research from the platform to understand what alternatives the
account is evaluating. They’re expanding buying group coverage to a large group of
stakeholders through systematic research and personalized messaging rather than hoping to
get introduced. Managers are coaching not just on “close the deal” but on “have you covered
the buying group?” and “what’s their intent telling you about timing?”
Run
Sellers create detailed account plans to develop winning strategies that use intent and
engagement signals, buying group data, next best actions suggested by the platform, and
engagement trends. They’re using account intelligence to predict which deals are likely to close
based on buying patterns that historically correlate with wins.
They’re adapting their approach in real-time as accounts show new signals — if a deal suddenly
shows competitive intent, they adjust messaging; if engagement goes cold, they trigger re-
engagement plays; if additional stakeholders appear, they orchestrate outreach to bring them
into the conversation.
Watch out for these common traps:
- Treating this as a checklist rather than genuine qualification means you’re just creating
process overhead without improving quality. The goal isn’t compliance with a
qualification framework; it’s ensuring opportunities in your pipeline are real and winnable. - Only looking at intent data at initial qualification but ignoring it throughout the deal
lifecycle wastes valuable signal. Intent patterns change as deals progress — increasing
intent often suggests a deal is heating up, while dropping intent may signal competitive
loss or internal reprioritization. Continuous monitoring provides early warning. - Failing to establish clear standards for what “qualified” means allows inconsistent
application. Some reps rigorously apply account-based qualification while others skip it,
leading to pipeline quality issues and inaccurate forecasting. - Building elaborate qualification frameworks but not actually using the data to manage
deals means the intelligence just sits unused. The point is to use this account
intelligence to win deals you would otherwise lose.
What you’ll need to make this work:
- A platform integrated with CRM so intent and engagement data appears on opportunity
records - Automated alerts when opportunities show meaningful changes (new intent,
engagement shifts, competitive signals) - Qualification frameworks that incorporate account-level criteria not just demographic
data - Account planning templates that guide reps through using intelligence effectively
- Manager coaching on account-based opportunity management not just traditional deal
coaching - CRM workflows that enforce minimum qualification standards before advancing stages
Measuring success
At Crawl, measure qualification quality:
- What percentage of opportunities have engagement from multiple account members?
- Are opportunities from 6QAs closing at higher rates than from non-6QA sources?
- How many buying committee members are identified per opportunity?
At Walk, measure management effectiveness:
- Win rate improvements for opportunities where buying committee is engaged (4-10
members) versus single-threaded - Time in sales stages for opportunities with active engagement versus stalled
engagement - Accuracy of at-risk identification (when engagement drops, do those deals actually
stall/lose?)
At Run, measure strategic impact:
- Win rate for opportunities with formal account plans versus without
- Deal velocity improvements from using intent signals to time actions appropriately
- Forecast accuracy improvements from incorporating engagement signals
- Percentage of pipeline from converted 6QAs versus other sources
Sales leadership owns this use case because it’s fundamentally about sales process and
methodology. Sales ops handles technical implementation and reporting. Marketing should
provide input on what account-level signals matter most for qualification.
