Salesforce data shows reps spend only 28% of their week on core selling activities. This guide analyzes how the other 72% is spent on non-selling tasks.

According to the Salesforce State of Sales report, sales representatives in 2024 spend only 28% of their week on actual selling activities. The remaining 72% of their time is consumed by non-selling tasks, including administrative work, data entry, internal meetings, and account research. This highlights a significant productivity challenge where the majority of a sales professional's work week is dedicated to activities that do not directly generate revenue.

TL;DR

Salesforce's research finds reps spend just 28% of their week actively selling, with 72% on non-selling tasks.
Manual CRM data entry is a major drain, consuming 17% of a rep's week according to a Forrester study.
The average sales team uses 10 different tools to close deals, and 72% of reps feel overwhelmed by them.
Account research and call preparation alone take up 14% of a rep's week, equivalent to 5.6 hours.
Gartner predicts that by 2027, 95% of sellers' research workflows will begin with AI, up from less than 20% in 2024.

The 28/72 Split: A Breakdown of the Modern Sales Week

The modern sales week is defined by a stark imbalance, with multiple studies confirming that representatives spend a fraction of their time on direct selling. Research from Salesforce's State of Sales report, which surveyed 7,775 sales professionals, reveals that only 28% of a representative's week is dedicated to revenue-generating activities like calls, demonstrations, and negotiations. This means the vast majority of their time, a staggering 72%, is consumed by a host of non-selling responsibilities. This division of labor highlights a critical inefficiency in the sales process, where the primary function of the role is overshadowed by operational and administrative duties. For an individual working a standard 40-hour week, this translates to just 11.2 hours spent actively engaging with prospects and customers to advance deals. The remaining 28.8 hours are allocated to tasks that support the sales function but do not directly contribute to closing business, a finding that underscores a systemic productivity challenge across sales organizations globally.

The 72% of the week not spent selling is a chasm of administrative tasks, internal meetings, and other operational duties that dilute a representative's focus. A Forrester Activity Study that tracked 3,031 sales reps confirmed this reality, finding that reps burn nearly two full days per week on administrative work alone. A detailed breakdown from aggregated industry research provides a clear picture of where this time goes: approximately 17% is spent on CRM and data entry, 15% on internal meetings, 14% on account research, another 14% on general email and administrative tasks, and 12% on scheduling and logistics. These figures are not abstract; they represent concrete drains on productivity. For example, research from ZoomInfo and Everstage shows reps lose about 546 hours annually, or 27.3% of their time, simply working with inaccurate contact data. This misallocation is further compounded by the proliferation of tools, with some reports indicating the average seller now juggles eight different applications to close a single deal, creating more work instead of streamlining it.

While the 28/72 split represents the industry average, top-performing sales representatives manage to significantly alter this ratio in their favor, creating a substantial competitive advantage. These high-achievers consistently dedicate 35-40% of their time to active selling, a notable increase from the 28% average. This efficiency gain is not typically the result of working longer hours, but rather the systematic application of better systems, prioritization, and technology. By automating manual research, streamlining CRM updates with activity capture tools, and using signal-driven intelligence to focus on qualified accounts, top performers reclaim valuable selling hours. This reclaimed time compounds over the year, equating to an extra five to eight selling weeks annually compared to their peers. This productivity gap demonstrates that overcoming the 72% administrative burden is not just a theoretical goal but a practical strategy that directly correlates with higher performance and revenue generation. The difference lies in moving beyond individual discipline and implementing systems that automate the non-selling tasks that consume the average performer's week.

Non-Selling Task Category	Percentage of Week (Average Rep)	Hours per 40-Hour Week	Primary Vendor/Tool Category
CRM & Data Entry	17%	6.8	CRM Platforms (e.g., Salesforce Sales Cloud)
Internal Meetings	15%	6.0	Communication Platforms (e.g., Slack, Teams)
Account Research & Preparation	14%	5.6	Account Intelligence & Data Providers
Email & General Admin	14%	5.6	Email Clients & Office Suites
Scheduling & Logistics	12%	4.8	Calendar & Scheduling Automation Tools
Quote & Proposal Generation	9%	3.6	CPQ & Document Generation (e.g., Docusign DocGen)

Where Does the Time Go? The Anatomy of Non-Selling Tasks

The single largest category of non-selling work is administrative tasks, with a significant portion dedicated to CRM data management. According to data from the Salesforce "State of Sales, 6th Edition" (2024), which surveyed 5,500 sales professionals globally, CRM data entry and pipeline updates consume 17% of a representative's week. [1] This figure highlights a major inefficiency, as it translates to nearly seven hours of a standard 40-hour work week spent on internal record-keeping rather than customer interaction. Reinforcing this finding, a separate analysis from HubSpot indicates the problem is widespread; their research found that nearly a third of sales reps spend an hour or more every single day just on data entry. [17] This burden is not just a minor inconvenience; it represents a systemic drain on productivity. A Forrester sales activity study further quantifies the issue, finding that administrative tasks, which include order booking and expense reporting, take up more than a quarter of a rep's working hours, time that could otherwise be allocated to revenue-generating activities. [2] The cumulative effect is a sales force perpetually occupied with process, not persuasion.

Account research and pre-call preparation represent another substantial block of non-selling time, accounting for 14% of a sales professional's week. [1] This equates to roughly 5.6 hours in a 40-hour week dedicated to activities that happen before any direct engagement with a prospect occurs. While essential for effective selling, the sheer volume of time spent on this phase underscores a significant operational challenge. This research phase involves a wide range of tasks, from identifying key decision-makers and understanding a prospect's business challenges to analyzing competitor presence and preparing tailored talk tracks. A 2019 Forrester study, which analyzed feedback from 3,031 sales reps, identified finding relevant content and information as a major distraction from active selling, illustrating the friction involved in this preparatory stage. [10] The challenge is often compounded by disorganized or sprawling internal knowledge bases, forcing reps to spend precious time hunting for materials instead of strategizing. As detailed in the Salesforce State of Sales Report 2024, the pressure to deliver personalized, high-value interactions means this research phase is non-negotiable, yet its time cost directly competes with active selling. [19, 21]

When combined, the various non-selling activities create a staggering time deficit that keeps reps from their primary function. A Forrester Activity Study found that the combination of administrative tasks, research, and internal meetings consumes nearly 29 hours per week for the average sales rep, leaving only a small fraction of the week for direct buyer interaction. [8] This figure aligns with multiple industry reports, including the Salesforce "State of Sales, 6th Edition" (2024), which places total non-selling time at 72% of the week. [1] The study, a double-anonymous survey of 5,500 sales professionals across 27 countries, paints a clear picture of a workforce bogged down by internal process and preparatory work. [19, 21] This productivity drain is not a new phenomenon, but its persistence highlights a fundamental challenge in sales operations. Even older data from a survey of over 700 reps showed that administrative tasks alone took up nearly six hours per week, time spent on paperwork, internal policies, and approvals instead of engaging with customers. [5] The consistent finding across different methodologies and years is that the majority of a sales professional's expensive time is dedicated to activities that do not directly generate revenue, as detailed in this Forrester research brief. [8]

Task Category	Task Description	Percentage of Week (Salesforce, 2024)	Equivalent Hours (40-Hour Week)
Direct Selling	Engaging with prospects and customers via meetings, calls, and demos.	28%	11.2
CRM & Data Entry	Updating the CRM, logging activities, and managing pipeline data.	17%	6.8
Internal Meetings	Attending team meetings, forecast calls, and one-on-one sessions.	15%	6.0
Account Research & Prep	Researching prospects, preparing for calls, and finding content.	14%	5.6
Email & Admin Tasks	Managing inbox, handling internal correspondence, and other administrative duties.	14%	5.6
Scheduling	Coordinating and scheduling meetings with prospects and customers.	12%	4.8

The Tool Sprawl Problem: How Many Applications Are Too Many?

Sales teams now use an average of eight to ten tools to close deals, a figure that highlights the growing complexity of the modern sales process. According to the fifth edition of the Salesforce "State of Sales" report, which surveyed over 7,700 sales professionals, teams rely on an average of 10 applications, while a separate 2026 Salesforce analysis places the number at eight. [6, 10] This collection of tools, often called a tech stack, typically includes a core CRM like Salesforce Sales Cloud, prospecting and data enrichment platforms, sales engagement solutions for automating outreach, conversation intelligence software, and scheduling applications. While each tool is adopted to solve a specific problem, the sheer volume creates significant operational drag. Reps are forced to constantly switch between different user interfaces, manually transfer data from one system to another, and reconcile conflicting information, all of which detracts from the 28% of their week actually spent on selling activities.

The proliferation of sales technology has led to a significant portion of sellers feeling overwhelmed, which directly impacts their effectiveness and well-being. A Gartner Seller Skills Survey conducted from January through March 2024, which included 1,026 B2B sellers, found that 70% of sellers reported being overwhelmed by the number of technologies required to do their work. [2] This sense of being inundated is not just a matter of inconvenience; it represents a serious cognitive load that contributes to burnout and disengagement. [3] The constant need to learn, manage, and navigate a disjointed web of applications creates friction in daily workflows. Instead of technology acting as a seamless aid, it often becomes a source of frustration, forcing reps to spend valuable time on administrative tasks and tool management rather than on building relationships with buyers and understanding their needs. This overwhelming environment undermines the very productivity the tools were meant to enhance.

The negative sentiment toward tool sprawl is directly correlated with poor sales outcomes, creating a clear business case for simplification. The same 2024 Gartner survey revealed that sellers who feel overwhelmed by their technology are 45% less likely to attain their sales quota. [1, 3] This statistic quantifies the damage of a bloated tech stack, showing it actively hinders revenue generation. The path to missing a quota is paved with the small inefficiencies caused by tool overload: time wasted logging into multiple platforms, data entry errors from copying and pasting information, and missed follow-up opportunities because an alert was buried in the wrong application. [11] When a significant portion of a sales team is operating at a disadvantage due to technological complexity, the impact on the organization's bottom line is substantial, affecting everything from revenue forecasting to overall company growth. [8]

In response to the clear productivity costs of tool complexity, a vast majority of sales organizations are now prioritizing the simplification and consolidation of their technology stacks. Research from Salesforce's fifth edition "State of Sales" report revealed that 94% of sales organizations reported plans to consolidate their technology stacks to boost productivity. [6] This near-unanimous trend signals a strategic shift away from accumulating best-of-breed point solutions and toward adopting more unified and integrated platforms. [4] The primary goal of this consolidation is to create a more streamlined workflow, reduce the cognitive load on sellers, and ensure data flows seamlessly across the entire sales process. By reducing the number of applications a rep must interact with daily, organizations aim to give back precious selling time, improve the overall seller experience, and ultimately drive more predictable revenue growth by ensuring technology serves as an enabler, not a bottleneck. [5]

The High Cost of Manual Prospecting and Bad Data

Sales representatives lose a significant portion of their workweek, between 5.6 and 11 hours, to manual prospect research and data entry. [5, 9] According to the Salesforce State of Sales report, account research and call preparation alone consume roughly 14% of a rep's week, which translates to 5.6 hours in a standard 40-hour workweek. [9] Other analyses find the time commitment is even higher; Pintel.AI's 2026 review of sales representative time allocation determined that reps spend about 11 hours per week on prospect research alone. [5] This time is spent toggling between professional networking sites, company websites, news articles, and CRM systems to piece together a coherent picture of an account. [3] For a mid-market B2B representative, this non-selling activity, which includes CRM updates and internal meetings, can consume up to 28.8 hours per week, leaving only 11.2 hours for direct revenue-generating tasks. [1] The process is not only time-consuming but also inefficient, as the intelligence gathered begins to decay almost immediately, forcing reps into a constant, costly cycle of verification and re-verification before they can even begin to sell.

The relentless decay of CRM data makes consistent, manual verification a structural necessity for sales teams. B2B contact data decays at a startling rate, with industry benchmarks placing the annual decay rate between 25% and 30%. [7] This degradation is not a sign of poor initial data entry but a natural consequence of a dynamic business environment where contacts change jobs, companies merge, and contact information becomes obsolete. [7] Some analyses suggest the problem is accelerating; a report from RevenueBase noted that business email addresses decayed at a rate of 3.6% in November 2024 alone, nearly double the historical monthly average. [13] This means that for a CRM with 10,000 contacts, approximately 2,400 records will become inaccurate within a single year, rendering nearly a quarter of the database unreliable. [2] This constant state of decay forces sales reps to spend valuable time re-verifying information, a task that directly subtracts from the 28% of their week dedicated to active selling, as highlighted in the Salesforce State of Sales, 6th Edition (2024).

Poor data quality is a primary driver of wasted time, directly translating into massive financial costs and lost productivity. According to joint research from ZoomInfo and Everstage, sales representatives lose approximately 546 hours per year dealing with the consequences of inaccurate contact data. [1] This figure, which equates to 27.3% of their time, is spent on unproductive tasks like calling incorrect phone numbers, managing bounced emails, and researching contacts who have long since changed roles. [1] The financial impact is substantial; Gartner's 2024 analysis estimates that poor data quality costs the average organization $12.9 million annually. [9] For a sales team, this cost can be calculated more directly: for a 10-person team where each representative spends over five hours per week on manual research, the lost selling time can cost the business more than $130,000 annually. [9] This calculation, based on a model from Cleanlist's 2026 ROI framework, frames the issue not as a minor inefficiency but as a significant structural drag on revenue capacity, equivalent to paying for full-time sellers who do nothing but chase bad information. [14]

Can AI and Automation Reclaim Selling Time?

Artificial intelligence and automation are rapidly becoming foundational to modern sales, with a significant majority of sales organizations already leveraging these technologies to drive growth. According to joint research from Salesforce and Sopro in 2025, 81% of sales teams are already using or experimenting with AI tools. This widespread adoption is not merely a trend; it is directly correlated with performance, as the same research indicates that over 80% of sales teams using AI have reported increased revenue. This shift is underscored by a key market prediction from Gartner, which anticipates that by 2025, 80% of all B2B sales interactions between suppliers and buyers will happen in digital channels, many of which will be powered by AI. This projection signals a fundamental change in how sales cycles operate, moving away from traditional, manual processes and toward a more data-driven, digitally native approach. For sales leaders, this data confirms that integrating AI is no longer optional but a competitive necessity for reclaiming valuable selling time and achieving revenue targets in an evolving digital marketplace.

AI is uniquely suited to automate the high-volume, repetitive tasks that consume the majority of a sales representative's week, directly addressing the 72% of time spent on non-selling activities. Platforms are now capable of performing sophisticated account research, continuous signal monitoring, and drafting personalized outreach in minutes. For instance, AI tools can analyze thousands of sources, such as SEC filings, earnings call transcripts, and hiring patterns, to identify buying triggers and intent signals. Vendors are embedding these capabilities directly into their platforms; a 2026 report on AI sales agents highlights systems that autonomously aggregate data from over 75 sources to identify and act on real-time events like funding announcements or leadership changes. This automation liberates sales professionals from manual data entry and prospecting research, allowing them to focus their expertise on strategic relationship-building and complex deal negotiation. By handling the data-intensive groundwork, AI enables reps to engage with high-value prospects at precisely the right moment with the most relevant information, transforming operational efficiency into a direct line to revenue.

Despite the clear efficiency gains from AI automation, the human element remains indispensable, particularly when it comes to building trust and finalizing decisions. A 2026 Gartner survey, based on responses from 645 B2B buyers between August and September 2025, revealed that 69% of buyers prefer to validate AI-generated insights with a human sales representative. This finding highlights a critical psychological component in the buying process: while buyers use AI for initial research and to structure information, they seek human assurance before committing to a significant purchase. The same research points out that buyers perceive the risk of misleading information to be nearly equal from both AI (51%) and sales reps (49%), reinforcing their need to cross-reference and validate. This dynamic positions the modern sales professional not merely as an information provider but as a crucial validator and risk mitigator. The most effective sales organizations will therefore adopt a hybrid model, using AI to augment their teams and handle repetitive intelligence tasks, while empowering reps to focus on judgment, empathy, and the complex conversations that build buyer confidence and close deals.

Frequently Asked Questions

How much time do sales reps spend selling per day?

Sales representatives spend only about 2.24 hours per day on direct selling activities. [21] Based on a 40-hour work week where only 28% of time is dedicated to selling, this leaves the majority of the day for other duties. [21] Research from 2025 confirmed that reps get roughly two hours of active selling time daily, with the rest consumed by non-revenue-generating tasks like administration and data entry. [22]

What percentage of time do sales reps spend on administrative tasks?

Sales reps spend a significant portion of their week on administrative tasks, with estimates ranging from 17% to over 40% depending on the study. A 2026 breakdown found that 17% of a rep's week is spent on CRM data entry and pipeline updates alone. [21] Other research from 2025 suggests the total time on administrative work can be as high as 40%, which equates to nearly two full days a week. [18] This administrative burden includes tasks like logging calls, generating quotes, and handling internal communications, which detracts from available selling time. [18]

How many tools does the average sales rep use?

The average sales representative uses between 5 and 10 different software tools to manage their workflow and close deals. [17] However, a 2024 Gartner survey noted that reps use an average of 8 tools, leading to significant inefficiency. [7] This tool sprawl is a major issue, with 72% of sellers reporting they feel overwhelmed by the number of applications they are required to use. [6]

What is the biggest waste of time for a sales rep?

The single biggest waste of time for a sales rep is dealing with bad data and pursuing unqualified leads. Research shows that working with inaccurate contact information consumes 27.3% of a rep's time, which is over a quarter of their workweek. [6, 21] This includes time spent on bounced emails and calling wrong numbers for contacts who have already left their company. [21] A Forrester study further quantified this, finding that sales reps can waste up to 50% of their time on leads that will never convert. [20]

How does AI help with sales productivity?

AI helps with sales productivity primarily by automating repetitive, low-value tasks, which frees up representatives to focus on selling. AI tools can handle administrative work like data entry, call transcription, and scheduling, saving reps significant time. [3, 5] Furthermore, AI provides data-driven insights for lead scoring and forecasting, helping reps prioritize the most promising opportunities. [1] According to Salesforce, 80% of reps using AI find it easier to get the customer insights they need to close deals. [1]

What is a good percentage of time for a sales rep to be selling?

A good target for the percentage of time a sales rep should be selling is between 60% and 70% of their workweek. [2] While the current average hovers around 28-30%, top-performing reps manage to spend 35-40% of their time on active selling. [9, 16] Achieving a higher percentage requires systematically reducing time spent on non-selling tasks through automation and process improvements. [9] Increasing selling time from 28% to just 38% can provide the equivalent of adding multiple full-time sellers to a team over the course of a year. [21]

Last updated: September 2026

Sales Rep Time Allocation: How Much Time is Spent Selling?