Snowflake Case Study
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Opportunity Scoring

Summary

What Is Opportunity Scoring?

Opportunity scoring is a way to rank open deals using evidence from the deal, not just the rep’s confidence.

The score can take into account buyer activity, stakeholder coverage, deal movement, recent conversations, missed next steps, and patterns from similar opportunities won or lost before.

In practice, it is one part of opportunity health scoring: turning everything happening inside a deal into a signal the team can compare across the pipeline.

The score is not a verdict. A deal scoring 82 can still fall apart. A deal scoring 46 may simply need the right person brought into the next call.

The useful question is not, “What is the score?”

It is, “Why did the score change, and what should we do about it?”

Why Score Opportunities?

Monday pipeline reviews tend to follow the same pattern.

The largest deals get discussed first. Commit deals are assumed to be in better shape. A rep who sounds confident gets fewer questions than one who sounds uncertain.

None of that means the deal is healthy.

A smaller opportunity may have three active stakeholders, a confirmed buying process, and a buyer-owned next step. A larger commit deal may be running through one friendly contact who has not replied in ten days.

Opportunity scoring puts those differences in front of the manager before the review begins.

It gives the team a better starting point:

  • Which commit deals are weaker than they look?
  • Which smaller deals are gaining momentum?
  • Which opportunities have stopped moving?
  • Where has buyer activity changed since the last review?

Used properly, scoring can also help improve forecast accuracy by forcing weak deals to earn their place in the forecast instead of staying there because nobody challenged them.

What Goes Into an Opportunity Score?

There is no single formula that works for every company, but the useful inputs are usually straightforward.

Buyer engagement: Is the buyer replying, attending meetings, and completing agreed actions, or is all the activity coming from the seller?

Stakeholder coverage: Is the deal connected to the people who can approve, block, fund, and implement the purchase?

Deal movement: Is the opportunity progressing at a normal pace, or has it been sitting in the same stage with the same close date?

Next steps: Is there a specific buyer-owned action with a date, or just “follow up next week”?

Deal risk: Have pricing, competition, implementation, security, or budget concerns appeared in sales conversations?

Historical patterns: How did similar deals behave before they closed, slipped, or were lost?

The score should show which of these signals changed.

If a deal drops from 76 to 58, the rep should be able to see whether that happened because the economic buyer missed two meetings, the close date moved again, or the buyer stopped completing agreed actions.

Without that explanation, the number is just another CRM field.

Opportunity Scoring vs. Lead Scoring

Lead scoring happens before there is a real sales opportunity.

It helps marketing and sales decide which prospects are worth contacting based on fit, interest, and activity.

Opportunity scoring starts after the deal is already open.

It is not asking, “Should we contact this company?”

It is asking, “Is this deal moving, and does the evidence support where we say it is?”

Rule-Based vs. Signal-Based Scoring

Rule-based scoring uses conditions the company defines.

For example:

  • Add points when the economic buyer joins
  • Add points when a mutual action plan is agreed
  • Subtract points when the close date moves twice
  • Subtract points when there has been no buyer response for ten days

This works well when the rules are clear and the CRM data is reliable.

The weakness is that many of the inputs still depend on someone updating a field correctly.

Signal-based scoring looks at the activity itself: buyer replies, meeting attendance, stakeholder changes, conversation topics, completed actions, and deal movement.

The strongest approach usually uses both.

Rules make the score understandable. Live signals stop it from becoming a prettier version of the rep’s opinion.

What It Looks Like in Practice

A manager has 40 open deals across three reps.

Two large opportunities are marked commit. Both have moved their close date once, neither has had a meaningful buyer interaction in two weeks, and each still depends on one contact.

Two smaller deals are marked best case. Both have several active stakeholders, confirmed next steps, and buyers completing actions on time.

Without scoring, the commit deals probably get the benefit of the doubt.

With scoring, the manager sees the mismatch before the meeting. The large deals get inspected first, and the smaller deals get the support needed to keep moving.

That is the real value of opportunity scoring. It changes where the team spends its time.

How MaxIQ Helps

MaxIQ combines CRM changes, buyer engagement, sales conversations, stakeholder activity, next steps, and deal movement to keep opportunity scores current.

Managers can see which deals are gaining momentum, which are starting to drift, and what caused the score to move.

When a score drops, the next step is not automatically to remove the deal. It is to inspect the evidence. This deal inspection checklist gives managers a practical way to do that.

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