This is original Revspire data: At least 10 customer organizations behind each figure, assets in Revspire content libraries and playbooks, their review and expiry dates, versions, duplicate flags and approvals, and the content sellers shared with buyers or opened, 12 months to October 2026. The figures are aggregated and anonymized, and they describe patterns in Revspire customer data rather than proving cause and effect.
How many sales reps share content with buyers each week?
64% of reps shared at least one asset with a buyer in a typical week, which leaves 36%, about a third, who sent no buyer any content through Revspire that week. Sharing with buyers is the simplest adoption measure for a content library: it shows whether sellers use governed content in live deals, not whether they log in. A rep who shares nothing for a week may be between deals, may be in a role with few buyer conversations, or may be sending attachments from email and shared drives, which this data cannot see. Read your own weekly share rate by role and team before acting on it. A low rate among account executives in active deal cycles points to a content or adoption problem; a low rate among reps who are still ramping is often just timing.
- Shared at least one asset with a buyer64%
- Shared no asset with a buyer36%
Source: Revspire customer data, 12 months to October 2026.
- Weekly sharing = the share of reps who shared at least one asset with a buyer in a typical week.
- The two shares add up to 100% (64 + 36).
How long does sales content stay in use, and how much is past its review date?
The median sales asset stopped being shared 120 days after it was published, about four months, and 18% of active assets, almost one in five, were past their review or expiry date. The two figures describe the same problem from different ends. Sellers move on from most assets within a few months, yet many assets stay live after the date someone set to check them. An asset past its review date may still be accurate, but nobody has confirmed it, and it can still turn up in search and reach a buyer. A review cadence built around the 120-day median, with a first check at 90 days, reaches assets while sellers are still using them. Time-bound content such as pricing, promotions and event material needs an expiry date that marks when it must come down.
| Measure | Result |
|---|---|
| Median days from an asset's publication until it stopped being shared | 120 days |
| Active assets past their review or expiry date | 18% |
- Within their review and expiry dates82%
- Past their review or expiry date18%
Source: Revspire customer data, 12 months to October 2026.
- Shelf life = median days from an asset's publication until it stopped being shared.
- Past review = an active (not archived) asset whose review or expiry date had passed. The two review-status shares add up to 100% (82 + 18).
How often do buyers receive an outdated version of sales content?
4% of buyer shares used a superseded version of an asset, about one share in 25, and 7% of library assets were flagged as duplicates, about one in 14. Both are small shares with an outsized risk. A superseded version is one that has already been replaced, so the buyer may have received pricing, product claims or terms that had since changed. This edition does not link the two figures, but duplicates are one likely route to an old version: when two copies of a deck sit in the library, a seller who finds the older one first may send it. Fixing duplicates is also cheaper than correcting a share after the buyer has read it. Merge duplicate assets into one owned version, retire superseded versions so they no longer appear in search, and check the superseded-version share each quarter.
| Measure | Share | Base |
|---|---|---|
| Buyer shares that used a superseded version | 4% | All buyer shares |
| Assets flagged as duplicates | 7% | All library assets |
- Superseded version = an older version of an asset that had been replaced by a newer one.
- One in 25 = 4%; one in 14 ≈ 7%. The two figures have different bases (shares and assets), so they cannot be added together.
How long does sales content approval take?
The median piece of sales content took 4 days from submission to approval. Set against a median shelf life of 120 days, that is about 3% of the time an asset stays in use, so for most content the approval step is not the bottleneck. It matters more for time-sensitive material. A competitive update, a pricing change or an answer to a new objection loses value every day it waits, and with a median of 4 days, half of submissions took at least that long. Two practical fixes follow. Set a target approval time for each content type, with a shorter one for competitive, pricing and launch content. Then name a backup approver for each content area, so that submissions do not sit in a queue while one person is away or busy with a launch.
| Measure | Median |
|---|---|
| Days from content submission to approval | 4 days |
- Approval time = days from the date content was submitted for approval to the date it was approved.
- For scale: 4 ÷ 120 ≈ 3% of the median shelf life.
How much playbook content do sellers never open?
32% of playbook assets were never opened by sellers in 90 days, nearly one in three. Playbook assets are the content an enablement team has chosen as the right material for a stage or a play, so an unopened third suggests that the plays and the content have drifted apart, or that sellers do not know the assets are there. Our sales content benchmark found 35% of all active library assets with no shares and no opens in 90 days. That figure covers the whole library, counts buyer shares as well as seller opens, and comes from an earlier data cut, so the two are not directly comparable. They do point the same way: being in a playbook does not by itself mean an asset gets opened. Review each play's assets every quarter, remove the ones nobody opens, and ask sellers what they use instead.
- Opened by a seller at least once68%
- Never opened by a seller32%
Source: Revspire customer data, 12 months to October 2026.
- Unopened = a playbook asset that no seller opened in 90 days. The two shares add up to 100% (68 + 32).
- The 35% figure in the content-to-revenue benchmark covers all active library assets with no shares and no opens in 90 days, from an earlier data cut: a different scope and sample.
Do reps share more playbook content after training?
Among trained reps, the share who shared at least one playbook asset with a buyer in a month rose from 28% before training to 46% after: 18 points higher. That is the change enablement teams hope for, with plays turning into content that reaches buyers. It is a before-and-after comparison, and this edition reports no group of untrained reps alongside it, so other explanations fit too. Reps picked for training may be the ones already expected to use playbooks, playbooks may have been launched or refreshed at the same time as the training, and reps early in their tenure share more as they ramp. Even after training, 54% of trained reps did not share a playbook asset with a buyer in a given month, so treat training as the start of playbook adoption and keep measuring monthly sharing afterwards.
- Before training28%
- After training46%
Source: Revspire customer data, 12 months to October 2026.
- Monthly playbook sharing = the share of trained reps who shared at least one playbook asset with a buyer in a month.
- Absolute difference = 46 − 28 = 18 percentage points. Relative difference = 46 ÷ 28 − 1 ≈ 64%. After training, 100 − 46 = 54% did not share a playbook asset in a month.
How to use this benchmark
- Set the first review date at 90 days or less after publication. The median asset stopped being shared after 120 days, so a later first review often arrives after sellers have moved on.
- Run a monthly report of active assets past their review or expiry date. It was 18% here; re-date the assets an owner confirms are current, and archive the rest.
- Measure the share of buyer shares that used a superseded version (4% here) and the share of assets flagged as duplicates (7%). Merge duplicates into one owned version first, because that removes the copies sellers send by mistake.
- Track approval time by content type against the 4-day median, and give competitive, pricing and launch updates a shorter target.
- Audit playbook assets every quarter: 32% were never opened by sellers in 90 days. After training, compare monthly playbook sharing for trained reps with a group not yet trained, rather than with their own earlier months alone.
Method and sample
- Organizations
- At least 10 customer organizations behind each figure
- Records
- Assets in Revspire content libraries and playbooks, their review and expiry dates, versions, duplicate flags and approvals, and the content sellers shared with buyers or opened
- Period
- 12 months to October 2026
The figures come from aggregated, anonymized Revspire customer data covering the 12 months before Revspire supplied them in October 2026: assets in Revspire content libraries and playbooks, their publication, review and expiry dates, versions, duplicate flags and approvals, and the content sellers shared with buyers or opened.
Each figure is based on at least 10 organizations. No figure identifies a customer, a rep or a deal. Customer contracts allow aggregated, anonymized benchmarks.
Shelf life is the median number of days from an asset's publication until it stopped being shared. An asset counts as past review when it is active and its review or expiry date has passed. A superseded version is one that had been replaced by a newer version. Approval time runs from submission to approval. Unopened playbook assets are those no seller opened in 90 days. Training figures compare the same measure, monthly playbook sharing with a buyer, for trained reps before and after training.
These are observed correlations in Revspire customer data, not a random sample of all sales teams, and they do not show that any product caused a result.
Limitations
- The training comparison is a correlation, not a controlled test. Reps picked for training may be those already expected to use playbooks, and playbooks may have been launched or refreshed alongside the training (a selection effect), so the rise from 28% to 46% is not the effect of training alone.
- Teams that manage content in Revspire, with review dates, versions and approvals, may run better-governed libraries than the wider market, so past-review, duplicate and superseded-version rates elsewhere may be higher.
- Only activity recorded in Revspire is counted: content sent outside it, for example as an email attachment, is not.
- Sample sizes, splits by segment or asset type, the length of the before and after training periods, and how duplicates were flagged are not reported in this edition.
Frequently asked questions
What percentage of sales content is out of date?
In Revspire customer data, 18% of active sales assets were past their review or expiry date, almost one in five, and 4% of buyer shares used a superseded version of an asset, about one share in 25.
How long does sales content stay in use?
The median asset stopped being shared 120 days after publication, about four months. A first review within 90 days of publication, then at least quarterly, checks most assets while sellers are still using them.
How many sales reps share content with buyers each week?
64% of reps shared at least one asset with a buyer in a typical week, in aggregated Revspire customer data. The other 36% shared no asset with a buyer that week, at least not through Revspire.
How long does sales content approval take?
A median of 4 days from submission to approval in Revspire customer data, about 3% of the 120-day median shelf life. Half of submissions took at least that long, so competitive and pricing updates may need a shorter target.
How much playbook content goes unused?
32% of playbook assets were never opened by sellers in 90 days. Across whole libraries, our sales content benchmark found 35% of active assets with no shares and no opens in 90 days, a different scope from an earlier data cut.
Does sales training increase playbook adoption?
Among trained reps, the share who shared at least one playbook asset with a buyer in a month rose from 28% before training to 46% after. It is a before-and-after correlation with no untrained comparison group, not proof that training alone made the difference.
How to cite this benchmark
Revspire, "Sales content governance benchmark: how current, approved and used is sales content?", 2026. https://www.revspire.io/research/sales-content-governance-benchmark
The data on this page is published under Creative Commons Attribution 4.0 International (CC BY 4.0): you may reuse the figures and charts if you credit Revspire and link to this page.
Related on Revspire
- Sales content benchmarkRevspire data: 35% of active assets unused in 90 days, and win rates by asset type shared.
- Sales content usage statistics: the published researchThird-party figures on unused content and search time, and where they come from.
- Unused content cost calculatorTurn your unused and out-of-date share into a cost for your own library.
- Sales content governance frameworkOwnership, review dates, versioning and retirement rules for a library.
- Playbook adoption guideHow to get sellers using playbooks after launch and training.
- Revspire Content HubGoverned library with search, versioning and content analytics.