
Closing the quota attainment gap: Lessons from Snowflake, Equinix, and more

Closing the quota attainment gap: Lessons from Snowflake, Equinix, and more
Quota attainment rates are falling across industries. Learn expert strategies from leaders at Snowflake, Equinix, and 糖心影视.ai to diagnose low attainment, set achievable quotas, and rebuild seller trust 鈥 and close the gap faster.

Closing the quota attainment gap: Lessons from Snowflake, Equinix, and more
Quota attainment rates are falling across industries. Learn expert strategies from leaders at Snowflake, Equinix, and 糖心影视.ai to diagnose low attainment, set achievable quotas, and rebuild seller trust 鈥 and close the gap faster.

Closing the quota attainment gap: Lessons from Snowflake, Equinix, and more
Quota attainment rates are falling across industries. Learn expert strategies from leaders at Snowflake, Equinix, and 糖心影视.ai to diagnose low attainment, set achievable quotas, and rebuild seller trust 鈥 and close the gap faster.
Closing the quota attainment gap: Lessons from Snowflake, Equinix, and more
Quota attainment rates are falling across industries. Learn expert strategies from leaders at Snowflake, Equinix, and 糖心影视.ai to diagnose low attainment, set achievable quotas, and rebuild seller trust 鈥 and close the gap faster.
Quota attainment is one of the clearest measures of sales success. Yet according to Salesforce only 鈥攁 figure underscoring just how pervasive the attainment gap has become.
Persistent shortfalls here signal deeper issues demanding attention. When sales teams consistently miss targets, it erodes forecast reliability, increases rep turnover, and strains relationships with executive leadership鈥攅specially when organizations are asking sellers to deliver more with fewer resources.
To help you address the quota attainment challenge, we hosted a value-packed session during our virtual conference RevOps Kickoff featuring Christina Straggas (Head of Global Incentive Compensation at Equinix), James Jackson, (Global Head of GTM Planning, Compensation, and Systems at Snowflake), and Nabeil Alazzam (糖心影视.ai鈥檚 Founder and CEO).
Below we鈥檒l dive into the state of the attainment gap, reasons organizations are seeing this trend, and tactical ways our experts suggest you can inch closer to closing the quota attainment gap at your org.
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The 3 most common culprits for low quota attainment today
So what鈥檚 causing the downward trend in quota attainment? 听
When we asked our guests, they spoke to three common culprits they see influencing the trend: 听
1. Misjudging macroeconomic influences
Today鈥檚 quota setting often, inadvertently, overlooks the volatility of macroeconomic swings鈥攅specially during periods of rapid growth. For RevOps leaders, today鈥檚 current challenge isn鈥檛 just forecasting the next quarter, but stress-testing whether current demand is sustainable. When this is missed, short-term surges can quickly become long-term setbacks.
For example, James Jackson experienced firsthand how misjudging macroeconomic shifts can widen the quota attainment gap. While at DocuSign during the pandemic, demand surged overnight鈥攔evenue doubled in a year, and his team hit 140% attainment. But much of that growth was driven by short-term, one-time use cases. When renewals came around, churn spiked. Team attainment dropped to 60%, and attrition followed. The culprit, he says, was a combination of macro influences and self-inflicted 鈥渂ullish鈥 estimations on whether growth was sustainable post-pandemic. 听
Further, real-time markets of today demand a new pace of sales planning鈥
2. The speed of information
As Nabeil shared in the discussion, in today鈥檚 market, information moves faster鈥攁nd the pendulum swings in either direction are bigger. A single news headline can wipe out hundreds of billions in market cap within minutes, as . 听
This rapid, high-magnitude flow of information doesn鈥檛 just affect investors鈥攊t鈥檚 fundamentally changing how we manage sales performance. For sales leaders, this means increased pressure on quota setting and growth forecasting. 听
The speed of sales planning that worked 10 or 15 years ago simply can鈥檛 keep pace with the velocity of today鈥檚 markets. To stay ahead, organizations need more adaptive, real-time planning processes that can respond to rapid shifts in demand and sentiment.
3. The rising complexity of the sales role itself
Additionally, we鈥檝e just come through a massive digital transformation鈥攐ne that鈥檚 forced even the most traditional industries to modernize overnight. Virtual selling, once novel, is now a baseline expectation. New tools, platforms, and data systems have flooded the sales stack.
In short: The bar for what it takes to succeed in sales has been dramatically raised. 听
As Nabeil noted, this shift is creating a 鈥淭ale of Two Sellers.鈥 On one end, some reps have adapted quickly, upleveled their skills鈥攖丑别测鈥檙e thriving. On the other, there鈥檚 a growing population of sellers struggling to keep up with the new demands of the role. The performance delta between the two is widening, meaning overall attainment numbers are dragged down鈥攅ven if top performers are hitting out of the park.
For sales leaders, this is a critical consideration when setting realistic quotas and support models in today鈥檚 post-digital-revolution environment.
As Nabeil Alazzam posited in our discussion: 听
"Are we just seeing those that are really good actually excel, and more of the people who just aren鈥檛 cutting it perform underneath?"
Quarterly attainment checks with sales leaders can make these discussions easier to manage, and pinpoint low attainment before it becomes a mad rush at year-end to meet targets. 听
Ultimately, in high-performing orgs, sales leaders don鈥檛 wait for missed quotas to diagnose problems鈥攖丑别测 track leading indicators and ask the right questions early. Ie.:
- Is this a comp issue?
- A GTM problem?
- A territory design flaw? 听
The goal isn鈥檛 to blame鈥攊t鈥檚 to fix.
So what can you do to close a quota attainment gap?
Based on our experts' insights, here are a few key strategies to tackle the root causes head-on.
Tip #1) Diagnose if you have quota attainment problem鈥攁nd understand why
Before rushing to adjust incentives or quotas, it's critical to diagnose the root cause of low attainment鈥攚hich starts with studying your quota attainment distribution at multiple levels.
As Christina Straggas highlighted, while a macro-level view of attainment across the organization is interesting, you鈥檒l get far better insights by slicing the data by segment: job role, level, and region. Look for where you have attainment that more closely resembles where you want to be, and the traits shared across segments.
In an ideal state, you'd expect a bell curve distribution, with most reps clustering around 100% attainment. Sharp bimodal distributions (lots of reps far below and above goal) are a warning sign that something systemic may be off in your quota setting, enablement, or segmentation strategy. 听

However, data alone isn't enough. Christina emphasized that RevOps leaders must also talk to reps directly to understand the experience behind the numbers:
- Are sellers truly enabled to succeed?
- Have new processes, tools, or lead sources been introduced that reps aren't yet comfortable with?
- Are expectations rising faster than enablement support?
A full-stack diagnosis includes not only reviewing attainment distributions but also examining:
- Sales processes: Are they efficient and customer-focused?
- Tooling and enablement: Are reps supported with technology that boosts productivity?
- Lead quality and conversion rates: Are inputs to the pipeline setting reps up for success?
Quota attainability isn't just a math exercise 鈥 it's about aligning expectations, enablement, and execution. Understanding both the data and the human experience is essential to closing the quota attainment gap.
To diagnose the reason for low sales attainment, you can use data on the distribution of quota attainment from your sales performance management (SPM) solution. Snowflake鈥檚 James Jackson, says he likes to see 50% of his reps to hit 80% mean attainment as a benchmark.
Tip #2: Recalibrate on growth expectations and how you鈥檒l meet targets
As Christina Straggas shared, one of the biggest pressures on today鈥檚 revenue teams comes from a disconnect between market reality and shareholder expectations. 听
Investors still expect performance. Boards still expect consistency. But the playing field has changed.
At the same time, many organizations haven鈥檛 adjusted their planning frameworks accordingly. From emerging AI tools to evolving coverage models, the pace of innovation has outstripped how many businesses set goals.
This means that as a RevOps leader, you鈥檙e in prime position to rethink how growth targets are set鈥攆rom both top down and bottom up. You need to modernize your approach to forecasting and territory design. Which means blending shareholder-driven growth expectations with more grounded, field-level data鈥攊dentifying the gap between the two, and addressing it proactively. 听
Tell executive leaders the full story鈥攊t鈥檚 not just about distribution curves, but how that translates into business performance.
Here鈥檚 a clip of Christina explaining the importance of resetting expectations:
Bear in mind: you don鈥檛 need to communicate the lowest level of granular detail. 听
- Offer a broad sense that you鈥檝e taken into account everything that would've changed quota, including levers in the comp plan as you were executing the strategic vision for the company. 听
- Some leaders are qualitative and numbers-based; others are not so much. A simplified traffic light system helps translate these principles and performance reports across departments for either type of stakeholder. 听
Tip #3: Use objective productivity metrics to guide quota setting and resource allocation
Sales teams are seemingly being asked to deliver more with less today鈥攁nd without a disciplined, objective view of productivity, our experts recognized quota setting can quickly become disconnected from reality.
James Jackson, drawing from his experience at DocuSign, explained how rising pressure to improve profitability led his team to build a straightforward but powerful productivity model. They compared dollars generated per rep to on-target earnings (OTE) across segments, geographies, and vertical teams.
This simple 鈥渄ollars in, dollars out鈥 metric acted as a kind of LTV-to-CAC, allowing them to see which teams were driving real return on investment鈥攁nd which weren't. Even within the same segment, they uncovered huge disparities in productivity, sometimes with certain teams outperforming others by 3鈥4x.
Rather than being influenced by assumptions, noise, or "strategic" labeling of certain verticals, this hard data provided a clear-eyed view of where to set quotas higher, where to recalibrate lower, and where to reallocate resources altogether.
As James emphasized, objective inspection is critical:
- Cut through the complexity and volume of sales data.
- Identify where your investments are truly paying off.
- Create a quota-setting process that reflects actual productivity, not just hopes or historical norms.
In a climate where sales reps are overloaded with tools, processes, and expectations, using a simple, focused metric to ground your decisions can be the difference between widening or closing your quota attainment gap.
Tip #4:Tie stretch quotas to rep-controlled inputs 鈥 and test for accuracy quarterly
In the conversation, Nabeil highlighted a crucial nuance: a well-designed quota isn't just aspirational鈥攊t鈥檚 grounded in data tied to factors the rep can control.
According to Nabeil, effective quotas should be based on concrete workload assumptions at the territory, account, and opportunity levels. 听
This means leveraging everything you know about how many opportunities a rep can realistically move through the pipeline, the close rates within specific customer segments, and how long deals typically take.
Only then can you set a "slightly stretched" quota 鈥 ambitious, but still attainable with consistent effort.
One major pitfall he warns against: failing to use the full breadth of available data leads to poor forecasting accuracy, both at the quarterly and annual levels. Without accurate quarterly forecasts, it鈥檚 nearly impossible to build a robust annual quota-setting process. 听
Treat each quarter as a live test of your quota assumptions, refining your approach based on real outcomes before locking in annual targets.
Nabeil also noted the balance RevOps teams must strike: while advanced data models (even AI-based ones) can help predict more precisely, they risk becoming too complex and opaque for frontline sales teams to understand. Transparency and simplicity remain critical if you want reps to trust the quotas they鈥檙e working toward.
Tip #5: Actively build credibility via seller feedback 鈥 before rolling out new quotas and comp plans
If you鈥檝e readjusted territories and recalculated fair quotas but attainment is still falling short, investigate how you're rolling out and communicating your sales compensation plans.
Sometimes sellers fail to hit quota because they're unclear of how the plan works. You want to know if there鈥檚 pushback around the plan or general misunderstanding of what you鈥檙e asking sellers to do strategically, especially in years where you鈥檙e making changes. 听
For example, when James Jackson joined Snowflake, one of the first things he did was hear feedback directly from over 80 sellers and leaders, with a note for the RevOps team to 鈥渢ake it on the chin鈥:
Quotas and plan changes were historically delivered with little transparency, often landing on sales teams' desks at the last minute without explanation.
To rebuild trust, James focused first on listening. His team gathered direct feedback from 83 sales and SE leaders through surveys, face-to-face sessions, and regional "tiger teams" 鈥 surfacing critical themes about what was broken and where improvements were needed.
Rather than surprising sellers with a finalized plan, Snowflake deployed a "pre-socialization" approach:
- Sharing back the key feedback themes they heard
- Clearly mapping those concerns to plan changes for the new fiscal year
- Rolling out enablement in waves 鈥 starting with third-line leaders, then front-line managers, and finally individual contributors 鈥 to ensure no one was caught off guard
As James emphasized (aligned to sales compensation plan best practices we've heard from other experts too!), building credibility in sales compensation isn't about agreeing to every piece of feedback. It's about making sellers feel genuinely heard, acting on the real insights buried within the noise, and avoiding surprises that erode trust. 听
Even unpopular plan elements (like Snowflake's now-retired decelerator gate) were addressed transparently to signal a new era of collaboration between the sales organization and the comp team.
So, before rolling out newly proposed plans, ask sellers: 听
- If given this comp plan previewed, how would you use it to make the most money possible? 听
- What鈥檚 a typical day in life? What鈥檚 your sales cycle look like? This will tell you how long they鈥檙e actually spending on the sales process and any hurdles harming productivity.
What you鈥檙e looking out for is words like 鈥渦nattainable鈥. Listen for hurdles they must go through or how engaged they are with their plans. Use the insights you find to communicate net new plans, including any adjustments. 听
When rolling out your sales comp enablement presentation, you could formatted like this:
- First slide: 鈥淲e heard you; here鈥檚 what we did to gather feedback.鈥
- Second slide: 鈥淭hese are the themes of what we heard. This is how we鈥檙e fixing it.鈥
Above all, remember that people aren鈥檛 always going to agree on your incentives鈥攋ust make sure they feel heard. Soft skills like active listening, empathy, and patience can go a long way to securing buy-in for sales compensation plans designed to close the attainment gap. 听
Tip #6: Use seller choice to uncover risk profiles and plan confidence
The most effective compensation plans are rooted in psychology and behavioral science and in this discussion, the panel explored an advanced 鈥 and underused 鈥 tactic: giving sellers a choice between two quota and pay curve structures to better understand their risk appetite and perceived plan attainability.
That is, you can offer sellers two options:
- A lower quota with a flatter, more punitive pay curve
- A higher quota with more upside potential
The results reveal meaningful differences in seller risk tolerance. Some reps choose the safer, lower-quota path, while others embrace the stretch for higher potential earnings. Importantly, the targets should be viewed as largely attainable 鈥 but seller behavior will still split based on personal risk profiles, sparking strategic discussions about the type of sales talent your company may want to attract and retain for different roles.
James Jackson added that small structural adjustments鈥攍ike tweaking rate tables based on book size for SMB versus enterprise reps鈥攃an further fine-tune incentive alignment without unfairly 鈥減eanut butter spreading鈥 quota expectations across different segments.
Critically, Nabeil emphasized the long-term value of tracking these individual choices over time. Monitoring how a rep's selection behavior changes year over year can offer an early signal if something shifts鈥攅ither in the market, the territory, or in the rep's own confidence:
鈥淚n that moment, [the choice is] not that powerful. But over time, tracking at a territory and rep level, these decisions that they make and seeing that pattern...If you do that multiple years in a row and suddenly see the same person that鈥檚 been choosing the high quota every year all of a sudden deviates, that could be a sign that something鈥檚 off.鈥
Ultimately, building flexibility and behavioral insights into your comp strategy can help RevOps and Sales Comp leaders design plans that are more personalized, predictive, and sustainable over the long term.
Tip #7: Calibrate quota overassignment carefully鈥攁nd act fast on risk signals
Overassignment 鈥 assigning more quota than your official revenue target鈥攊s a common tactic to hedge against risk. But as Christina pointed out, the amount of overassignment must be carefully calibrated based on the nature of your business.
In mature, renewal-driven models, overassignment might be as low as 3%. In new business or bookings-led models, it could be 15鈥30%. The key is aligning the level of overassignment to your actual risk profile, not applying a one-size-fits-all approach.
Here's Christina on this:
More importantly, experienced revenue leaders know that if growth expectations spike dramatically 鈥 for example, moving from a historic 15% growth rate to asking for 40% 鈥 sellers will instinctively feel quotas are unattainable. Those signals need to be anticipated early through careful quota methodology and validated through leading indicators like declining morale or rising attrition.
If warning signs appear, don't wait: act quickly to release quota relief through your overassignment buffer. Just as critically, prepare a clear and confident talk track for your CFO and executive leadership. CFOs just make sure you understand what outcome you鈥檙e trying to drive. 鈥淢ake them super comfortable that you鈥檙e not just addressing a specific problem and you鈥檙e not worried about the outcome financially,鈥 she says.
Finance leaders want to feel comfortable that you understand the cost implications. i.e.:
鈥淵ou鈥檝e got to give them to the talk-track鈥斺楩or quota, we鈥檝e overassigned by 10%. That 10%, if we release all of it at the end of the year, or some point throughout the year, will cost us this much on average.鈥欌
This transparency鈥攂oth with sellers and with leadership鈥攊s essential for maintaining trust and ensuring overassignment remains a tool for stability, not a hidden risk. 听
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