Sales teams don’t fail from lack of effort. They fail from effort in the wrong place. The Pareto principle, also known as the 80/20 rule, provides sales professionals with a way to address that. It helps cut through clutter, focus on high-value actions, and work smarter, not harder.
By identifying the 20 percent of inputs driving 80 percent of results, salespeople can shift time, energy, and attention toward what moves the numbers. This article breaks down how the Pareto principle works in practice, and how I’ve used it to reduce wasted motion and improve deal quality.
What is the Pareto principle?
The Pareto principle is simple: not everything you do matters equally. In fact, a small part of your effort creates most of your results. In sales, this usually looks like 20 percent of your customers generating 80 percent of your revenue. Or 20 percent of your daily actions lead to most of your closed deals.
It’s not a perfect ratio every time. Sometimes it’s 70/30 or 90/10. But the core idea holds up. A few things drive most of the outcome.
For me, the most significant shift came when I stopped trying to do more and started focusing on doing the right things. The Pareto principle isn’t a productivity trick. It’s a filter — one that helps you cut the noise and spend time where it counts.
Where does the Pareto principle come from?
The rule was first observed by Italian economist Vilfredo Pareto, who noticed that 80 percent of Italy’s land was owned by 20 percent of the population. Later, management thinkers applied the same pattern to business: sales, production, and time all tend to follow similar ratios.
Over time, the 80/20 concept evolved from observation to an operating principle. It’s not always a perfect 80/20 split, but the imbalance holds. A few inputs drive most of the outcome. In sales, the Pareto principle is more than interesting. It makes it actionable.
How can you use the 80/20 rule in sales?
Here’s a simple, step-by-step workflow I’ve used to make the 80/20 rule drive real results.
Step 1: gather your raw sales data
Export your revenue or deal data from the last 6 to 12 months. Your CRM works, but a spreadsheet is fine. Make sure each row includes at least:
- Customer name or ID
- Total revenue or deal value
- Lead source (e.g., referral, cold outbound, website)
- Industry or segment
- Sales rep or team
- Product or package type
What’s easy to overlook here are the meetings and calls that led to these deals. That’s often where the “why” lives — why the deal closed, why the customer bought, why the conversation worked.
To avoid relying on patchy notes or memory, I use Plaud Note Pro to record and transcribe key sales calls. Every summary includes who said what, what decisions were made, and what objections came up. This AI note taker gives me context I’d otherwise forget, especially when reviewing older wins.
Step 2: sort and visualize
Once your list is built, sort your customers by revenue from highest to lowest. Then calculate their revenue share as a percentage of the total. Add a cumulative column next to it. This lets you see how fast the total stacks up.
If you're in Excel or Google Sheets, create a chart with two Y-axes. Use bars for raw revenue and a line for cumulative share. The point where your line hits 80% — that’s your “vital few.” These are the clients driving your business.
Step 3: analyze your 20%
Here’s where the 80/20 rule becomes useful. Look at those top customers and ask:
- What do they have in common?
- What product or plan do they buy most often?
- Which rep or team closed them?
- How did they find you?
- How long did it take to close the deal?
This is where conversation history becomes gold. I’ve gone back into Plaud Note Pro transcripts with Ask Plaud and found key moments I missed, like when a client revealed their main decision driver, or when a certain sales pitch angle made the deal click. Reviewing these conversations helps you spot repeatable cues, not just surface traits.

Step 4: dig deeper into root causes
Now shift from “who” to “why.” Start grouping your 20% by behavioral signals or process traits:
- How quickly did you follow up?
- Was the pricing clear early on?
- Were expectations aligned from the first meeting?
You can even reapply the 80/20 rule here. Often, a handful of small mistakes, such as slow response time, unclear next steps, and too many product options, cause most lost deals.
I use meeting templates inside Plaud App to make this easier. Templates help me structure key conversations, from discovery to pricing, so I can compare apples to apples later. Over time, this helped me trim fluff from my process and spot what’s working faster.

Step 5: turn insights into action
Insights are only useful if they change how you work. Once you know which clients and actions lead to the best outcomes:
- Prioritize those clients with better service or faster follow-up
- Shift spend to the sources that bring in the right leads
- Train your team to repeat high-performing sales angles
- Let go of customer segments that consistently cost more than they bring in
I’ve used AutoFlow with the Plaud App to send key insights from recorded calls to me and my team via email. That means others see what’s working in real time, not buried in a transcript days later.

When you stop chasing everything and start focusing on the few things that move the needle, your pipeline stops feeling like a grind. That’s when Pareto stops being a concept and becomes a system.
How to identify and replicate your top 20% customers?
You’ve found the 20% that drives your business. The next step is figuring out how to find more of them and stop wasting time on the wrong ones. This part is where the real leverage shows up.
Define your ideal customer profile based on revenue and efficiency
Don’t start with revenue alone. A client that pays big but drags out the sales cycle or creates endless support tickets isn’t a win. High value only matters if it comes with low drag.
Focus on accounts that:
- Close quickly
- Pay on time
- Don’t churn or escalate frequently
- Require minimal custom work or follow-up
Once you’ve identified those customers, look for shared traits:
- Industry or market segment
- Company size or team structure
- Purchase frequency or renewal cycle
Sales leaders on Reddit often say the real “ideal” client is boring — they don’t argue over price, respect timelines, and trust the process. That’s who you want more of.
Use historical data to identify shared traits in your top clients
Data makes the profile real. Start with your closed-won list from the past year and group accounts based on how they performed post-sale. Don’t just track deal size — look at:
- Time to close
- Cost to support
- Upsell or renewal activity
- Channel they came from (inbound, referral, outbound)
You can segment clients like this:
- High revenue + low cost to serve → ideal
- Low revenue + low cost → fine for automation
- High revenue + high cost → reassess
- Low revenue + high cost → cut quickly
One team found that most of their profitable clients came from a webinar lead source and closed within 30 days. That insight helped them cut outbound by 40% and improve conversion within a month.
Patterns in sales cycle length, deal size, or even product mix can signal what to pursue.
Avoid wasting time on low-conversion leads: focus on near-ICP
Not every lead will match your ideal profile perfectly, but some will come close. These “near-ICP” prospects are worth your time; they’re not ideal today, but they move fast, engage early, and show potential to scale.
What you want to avoid is dragging low-fit leads through the funnel out of optimism. Disqualify early when you see red flags like:
- Low engagement with emails or calls
- Unclear buying authority
- Long delays in the next steps
- Constant negotiation on pricing without a clear intent
A well-trained rep doesn’t just close deals. They walk away from the wrong ones quickly.
Conclusion
Most sales teams don’t need more tools. They need to focus on fewer things that actually work. That’s what the Pareto principle gives you — a way to stop chasing everything and double down on the deals and clients that truly matter.
Once I applied the 80/20 rule, my process got leaner. I spent less time chasing bad-fit leads and more time closing high-impact deals. It wasn’t about working harder. It was about finally knowing where to look.
FAQ
What are real examples of the 80/20 rule?
Apple earns over 80% of its revenue from fewer than 20% of its products — mainly iPhones. In sales, that’s the same pattern: a few clients or SKUs drive most revenue.
What are common mistakes when using the 80/20 rule?
Focusing only on revenue without factoring in the cost to serve. Also, failing to act on the insights after identifying the top 20%.
How can the 80-20 rule improve productivity?
It helps cut distractions and focus your time on clients, actions, or channels that consistently generate results.
