What is Deal Prioritization?
Deal prioritization answers the question every rep faces each morning: which deals deserve my best hours today.
Getting it right compounds. The same effort aimed at the right deals produces far more revenue than effort spread evenly or chasing the loudest prospect.
Short answer
Deal prioritization is the practice of ranking open deals to decide where a rep spends their limited selling time, based on expected value, winnability, and close timing. Because reps have finite hours, prioritization decides the quarter: focusing on high-value, winnable, in-period deals and minimizing effort on long shots is what maximizes results from the same effort.
Key takeaways
- Ranking deals for where to spend selling time.
- Based on expected value, winnability, and timing.
- Finite hours make prioritization decisive.
- Maximizes results from the same effort.
Why it matters
Selling hours are the scarcest resource, and where they go decides the quarter. Disciplined prioritization directs them to the deals with the best risk-adjusted return, rather than to whoever demands the most attention.
How Ardovo handles it
Ardovo scores deals on value, winnability, and timing, so Rook can hand each rep a ranked worklist every morning, pointing them at the deals worth their best hours and away from long shots.
Frequently asked questions
What is deal prioritization?
It is deciding which deals get a rep's best time, ranking open opportunities by expected value, winnability, and close timing so effort flows to the deals that matter most. It is how reps make the most of finite selling hours.
How should I prioritize my deals?
Rank by expected value (amount times win probability), adjusted for timing, so high-value, winnable, in-period deals get your best hours. Nurture big but later deals with light touches, and disqualify or minimally work long shots.
Why not just work the biggest deals first?
Because a huge deal you will probably lose is worth less of your time than a mid-size deal you will win this quarter. Prioritizing by expected value, not size alone, produces the best risk-adjusted return on limited hours.