Why Sales Reps Spend Most of the Week Not Selling (and 7 Ways to Fix It)

Sales productivity has a ceiling that rarely shows up on a pipeline dashboard: the share of the week a rep actually spends selling. According to Salesforce's State of Sales report (7th edition, 2026), the average seller spends 40% of their time selling. The other 60% goes to work that surrounds the sale rather than advancing it.

That gap is not a motivation problem. It is a design problem, and it can be fixed.

TL;DR

Sales reps spend most of the week not selling because data entry, account research and meeting prep land on their plate by default. Salesforce's 2026 State of Sales puts time spent selling at 40% of the week. The fastest way to increase sales productivity is to take those three tasks off the rep's workload, not to ask reps to move faster through them.

Table of Contents

• Where the Other 60% of the Week Goes
• Why More Effort does not Fix Sales Rep Productivity
• 7 Ways to Increase Sales Productivity and Win Back Time Spent Selling
• What Changes When the Three Biggest Time Sinks Disappear
• Where Kris@Work Fits
• FAQs

Where the Other 60% of the Week Goes

The 40% figure is a step up from earlier editions of the same research, which put time spent selling closer to 30%. It still means a rep working a full week sells for roughly two of those five days. Salesforce surveyed 4,050 sales professionals across 22 countries for the 2026 edition, and three non-selling sinks show up again and again.

Data entry and CRM hygiene. The record only knows what a rep last typed into it, so logging calls, updating stages and fixing fields compete with working deals. Salesforce found Gen Z reps sell just 35% of the time, losing about two hours every week to manual data entry. The problem reaches the whole team: 74% of sales professionals say they are focused on data cleansing to make their AI investments pay off.

Account research. Before a rep can say anything relevant, someone has to work out who the buyer is, what changed at the company and why now is the right moment. Sellers in the Salesforce study devote nearly a full day of their workweek to prospecting, and 48% still say they lack the bandwidth for adequate cold outreach.

Meeting and deal prep. Discovery questions, call briefs, proposals and business cases are often rebuilt by hand for every deal, from notes scattered across email threads, call recordings and the CRM.

Around all three sits the cost of switching between tools. McKinsey (2023) estimates that 23% of selling time is lost to a fragmented stack.

Why More Effort does not Fix Sales Rep Productivity 

The instinct is to add a tool for each gap: a data provider for research, an enrichment add-on for the CRM, a template library for prep. Each one helps in isolation. Together they create a new job, which is stitching the tools back together. In the Salesforce research, 51% of sales leaders using AI say disconnected systems are slowing their AI initiatives down.

Sales rep productivity improves when the non-selling work disappears from the rep's day, not when it gets spread across more screens. The seven fixes below are ordered from diagnosis to structural change.

7 Ways to Increase Sales Productivity and Win Back Time Spent Selling

1. Measure the week before you try to fix it

Most revenue leaders know reps are stretched but cannot say where the hours go. Ask a sample of reps to log their time in 30-minute blocks for two weeks, sorted into five buckets: selling, data entry, research, prep and internal meetings. Compare the result with what the CRM shows for the same period.

The gap between the two tells you which of the fixes below to start with. It also gives you a baseline, so any change you make later can be measured against something other than a feeling.

2. Take data entry off the rep's plate entirely

Shortening data entry is not the goal. Removing it is. The CRM should update from what actually happened in the deal, not from what a rep remembers to type on Friday afternoon. When you evaluate options, ask three questions:

• Does the stage move on evidence from calls, emails and meetings, or on a rep's manual update?
• Does every interaction get a disposition without anyone filling in a field?
• Is every change logged with what triggered it, so the record holds up when a number is questioned?

Kris AI CRM: The System of Record layer reads every call, email and meeting, then moves the deal forward or back based on what the buyer actually did and dispositions each interaction as it lands. Every change is recorded with its trigger in a full audit trail. The number of fields reps update by hand is zero, and Kris@Work positions the potential outcome as up to 2 hours per rep per day reclaimed from manual CRM entry and hygiene.

3. Turn account research into a single step

Research is where good reps lose the most time, because they care about walking into a conversation prepared. The fix is to have the research arrive already assembled, with the timing rationale attached, so the rep's job becomes judgment rather than collection.

Kris Capture: The Enrichment stage runs one-click deep enrichment on every account: verified email and phone, firmographics, funding, tech stack, hiring signals, recent news and org structure. Its why-now synthesis then generates the timing rationale and a consolidated research brief, and turns it into a ready-to-use hook covering why this account, why this person and why now. Kris@Work frames the potential impact as moving from 5 to 6 hours of deep research per account to under 5 minutes.

4. Generate meeting prep from the deal's own evidence

Prep built from a blank page tends to be generic, and generic prep produces generic meetings. Prep built from what the buyer has already said is both faster and sharper. Look for a system that holds the full interaction history for each deal and can draft the next deliverable from it.

Kris Close: In the Next Best Moves layer, Kris Close generates deal-stage deliverables ready before the meeting: discovery questions, meeting briefs, proposals and business cases, all built from the deal's own evidence base. Alongside them, Kris Guidance works live in the deal and tells the rep what to do at the moment it matters, whether that is on the live thread, before the meeting or at the objection.

5. Point effort at the accounts that are ready to buy

Time spent selling only matters if it is spent on the right accounts. Landbase (2024) found that 67% of lost B2B deals are tied to poor lead qualification rather than product or price. Every hour spent on an account that was never going to buy is an hour of selling time lost twice.

Grade accounts on both fit and signal, attach a reason to every grade so reps trust it, and let fresh buying signals such as funding, hiring or a technology change push an account up the queue while the moment is live.

6. Consolidate the stack around one record

Every tool that holds its own copy of the account creates a handoff, and every handoff means context gets re-keyed or lost. When you review the stack, count how many places a rep has to visit to answer a basic question such as "what happened on this deal last week?" Each extra place is a cost to sales productivity.

The goal is fewer systems sharing one record, so that research, outreach, deal activity and reporting all draw from the same source of truth and nothing restarts when an account moves from SDR to AE.

7. Coach on real conversations instead of adding more meetings

Internal meetings are part of the 60%, and pipeline reviews built on a stale CRM are some of the least productive. When the record maintains itself, status meetings can shrink, and the time can go to coaching instead.

That coaching is overdue. Among Gen Z sellers in the Salesforce study, 46% say they rarely get feedback on their sales conversations and 47% say they do not get enough roleplay before customer calls. Coaching grounded in specific, dated emails and calls gives reps a clear skill to work on, which is a better use of a manager's hour than another round of deal updates.

What Changes When the Three Biggest Time Sinks Disappear

Data entry, research and prep account for the bulk of the non-selling week, and they share a root cause: each one depends on a rep manually moving information from one place to another. Remove that dependency and selling time recovers on its own.

Revenue teams at companies including iCar Asia and XYZies run on Kris@Work. Ramin Heydari, CEO and President of XYZies, sums up the shift: "With Kris, now everything is under one umbrella." His team works from one place for leads, task assignment and coaching, rather than stitching tools together.

Where Kris@Work Fits

Kris@Work is an AI-native go-to-market platform built for B2B revenue teams. For sales productivity specifically, it removes the three biggest non-selling time sinks on a single record: