A marketing qualified account (MQA) is a target account that has demonstrated sufficient engagement and fit to warrant direct sales involvement. Instead of marketing qualifying individual leads, ABM teams qualify entire accounts based on intent signals, engagement, and fit.
An MQA is your signal that it's time to stop nurturing and start selling to a specific company.
How MQA Differs from MQL
Traditional lead-based marketing uses Marketing Qualified Leads (MQLs). An MQL is an individual contact who has engaged with your content enough to warrant a sales conversation. They downloaded a guide, attended a webinar, or engaged with an email. Marketing passes them to sales saying "This person is ready for a conversation."
MQAs flip this model. Instead of qualifying individual leads, you qualify entire accounts. An MQA means: this company is in your target market, they're showing buying signals, and they have decision-makers engaging with your content. They're ready for coordinated account-level sales and marketing engagement.
Here's the practical difference:
MQL Approach: Marketing generates 200 leads. Sales nurtures the hottest 50. Most leads never get touched.
MQA Approach: Marketing identifies 100 target accounts. 40 show buying intent. Sales and marketing coordinate on those 40 together. Everyone on the buying committee gets reached by marketing while sales drives relationships.
The MQA is a better model for complex B2B SaaS deals because it reflects the reality that multiple people inside a company need to be convinced before a deal happens.
What Makes an Account "Marketing Qualified"
An account qualifies as an MQA when it meets a few criteria.
Fit Criteria
The account must fit your ideal customer profile. You've defined this in advance: company size, revenue, vertical, technology stack, geography. Is the account a logical customer for you? If your ICP is mid-market healthcare software companies and the account is a small professional services firm, it's not qualified regardless of engagement.
Intent Signals
Someone inside the account is actively researching the problem your solution solves. This might show up as:
- Search intent (they're searching for solutions you offer)
- Website engagement (multiple people from the account visiting your site, especially pricing or product pages)
- Content engagement (downloading research, attending webinars, reading case studies)
- Technology signals (they're installing tools that suggest they're building in an adjacent space)
The account doesn't need all of these. One or two strong signals can be enough. But there needs to be evidence that they're in-market.
Decision-Maker Engagement
At least one key decision-maker needs to be engaged. Not necessarily the CEO, but someone with authority over the purchasing decision. The difference between "someone from the company visited our site" and "the VP of Engineering downloaded our technical guide" is significant. MQA criteria should weight decision-maker engagement more heavily than general company engagement.
Receptivity
Sometimes you know an account is a good fit and someone is in-market, but they're not responding to outreach. They're ghosting your calls. In this case, the account might be qualified, but it's not time to escalate to sales yet. Keep the MQA bar tied to actual engagement, not just potential.
How to Operationalize MQA
Building an MQA process requires a few steps.
Define Your MQA Criteria
Work with sales to agree on what makes an account marketing qualified. Usually, it's something like:
- Target company size, vertical, or geography
- At least two website visits from different people at the company
- At least one engagement with gated content (webinar, guide, assessment)
- Confirmed decision-maker engagement in the past 30 days
These criteria vary based on your business. Enterprise software might weight decision-maker seniority heavily. SMB software might focus on volume of engagement. The point is: define it upfront so both teams know when an account crosses the threshold.
Automate Scoring and Routing
Use your marketing automation platform to score accounts based on these criteria. When an account hits your MQA threshold, it automatically routes to sales. This might be via CRM alert, Slack notification, or a sales dashboard.
If you're using account-based marketing tools or ABM-focused CRM integrations, this routing can happen automatically, sometimes even triggering sales workflows or task creation.
Create MQA Dashboards
Give sales and marketing visibility into the MQA pipeline. How many accounts have been qualified in the past week? How many MQAs are currently in active sales conversations? What's the average time from MQA to first sales meeting? These metrics tell you whether your MQA model is working.
Iterate and Refine
After three months, review your MQA criteria with sales. Are accounts that qualify actually converting into opportunities? If not, your criteria might be too loose. Are you missing good accounts? Your criteria might be too tight. Use real outcomes to refine your definition.
MQA vs. Scoring Models
Some teams use scoring models to rank accounts. Instead of a binary qualified/not qualified, you get a score: 75 out of 100. This account is hotter than that one.
MQA criteria can feed into scoring models. Fit criteria might be worth 20 points. Intent signals might be worth 40 points. Decision-maker engagement might be worth 40 points. An account with high fit, strong intent, and confirmed decision-maker engagement gets a high score.
The choice between binary MQA and scoring is partly organizational. Binary MQA is simpler-there's a clear threshold. Scoring gives more nuance. Many teams use both: once an account hits MQA status, they score it to decide sales prioritization.
The Timing Question
One challenge: How fresh do engagement signals need to be? If a company visited your site two months ago, are they still qualified?
Industry best practice: engagement signals should be recent-ideally within the past 30-60 days. You want to reach out while they're actively researching, not three months later after they've already made a decision.
This is why real-time intent data matters. If you can see that a company is actively in-market right now, you can reach out while they're hot. Stale engagement signals are less valuable.
Tools That Enable MQA
Account-based marketing platforms, revenue intelligence tools, and CRM systems all help operationalize MQA. They aggregate engagement signals from multiple sources-your website, email, ads, third-party intent data-and score accounts automatically.
Platforms like Abmatic surface which target accounts are showing intent, which decision-makers are engaging, and when accounts cross your MQA threshold. Instead of having MQA logic buried in spreadsheets, you get a unified view of which accounts are qualified and ready for sales.
The Bottom Line
A marketing qualified account is a target account that's ready for sales engagement. It meets your fit criteria, shows buying intent, and has decision-maker engagement.
MQA is more relevant to ABM and complex B2B SaaS selling than individual MQL qualification because it acknowledges that multiple people need to buy in. Define your MQA criteria upfront, automate the identification and routing process, and refine based on real conversion outcomes.
Start by listing five characteristics that define a good account for you: company size, vertical, headcount, technology usage, buying signal. Then define the engagement threshold: how many people from the account need to engage, and with what type of content? Once you have this definition, implement it in your CRM or marketing automation system and start qualifying accounts.
Want to identify marketing qualified accounts automatically and route them to sales? Schedule a demo with Abmatic to see how we aggregate engagement signals and surface which target accounts are ready for sales conversations.
