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Part of Lusha’s ongoing measurement of B2B data decay. Every finding in one place: How fast B2B contact data decays.

All data in this report is drawn from Lusha’s live signal database. Signal counts reflect contacts with a detected company change event between January 1 and June 1, 2026. Role counts reflect contacts with a confirmed company change signal and a current title matching Chief Revenue Officer as of June 1, 2026. All data is aggregate; no individual names or employers are disclosed. Role totals reflect Lusha database coverage and are directional rather than exhaustive. Source: Lusha Executive Mobility Report Q2 2026.

601 CROs changed companies between January and June 2026. That is 5.6 moves per working day.

The CRO is not the busiest C suite role. The CIO moves more, and so does the CMO. What makes a CRO change worth acting on is what happens next: a new CRO arrives with a number set by the board before they accepted the job, and the fastest lever they control is the tooling. The revenue stack review starts early and closes fast.

This report maps what those 601 moves mean for sales technology vendors: what we measured, what we did not, why timing on this role is tighter than on the others, where CROs moved in this window, and what to do about the account they left as well as the one they joined.

What is measured and what is judgement. The move counts on this page come from Lusha’s database and are counts, not estimates. The evaluation windows, the number of vendor decisions per arrival and the outreach timing are drawn from how these reviews are understood to run in practice. They are a planning frame, not values we measured, and they are labelled wherever they appear.


The numbers at a glance

CRO mobility · Q1 to Q2 2026 · Lusha live signal database

SignalQ1 to Q2 2026Source
CRO company changes detected601Measured
Average CRO moves per working day5.6Measured
Rank among the four C suite roles trackedThird, behind CIO at 869 and CMO at 792Measured
Vendor decisions a new CRO typically makesThree to five, often including a data providerJudgement
Stack evaluation window30 to 60 days from startJudgement
Suggested outreach windowWithin seven days of the detected moveJudgement

Part one: why the CRO window is tighter than the others

The CIO moves more than the CRO. So does the CMO. Neither creates the same urgency when it happens at a target account.

A new CIO reviewing an IT stack has a review that runs long, because infrastructure decisions carry migration risk. A new CMO has a stack to assess and a brand to learn. A new CRO has a number, usually set by the board before they took the job, and a quarter in which to show movement against it. Tooling is the fastest lever they fully control, so the review starts early and the decisions land inside a couple of months.

For a data provider specifically, the new CRO is asking one question. Does the contact data the team is working from produce pipeline? If bounce rates are high, if direct dials are stale, if the ICP is moving faster than the database refreshes, the data provider is an easy thing to change and an early thing to look at.

C suite comparison · moves measured, windows are judgement

RoleMoves, measuredTypical review lengthUrgency for a vendor
CIO86960 to 90 daysHigh
CMO792About 60 daysHigh
CRO60130 to 60 daysTightest window
CISO287Up to 90 daysHigh

Move counts are measured. Review lengths and urgency are a planning frame drawn from how these evaluations run, not values from the database. The same frame appears in the Executive Mobility Report.


Part two: the seven day rule, and what it rests on

A new CRO three weeks in is already in vendor conversations. One five days in is still forming opinions. The difference between those two moments is the difference between arriving before a shortlist exists and arriving into one.

This is judgement, not a measured conversion curve. Our database counts moves; it does not track which outreach landed on which day or what happened next. We are not going to dress a sensible rule of thumb as a finding. What the data supports is the volume and the timing of detection. What the seven days rest on is how these reviews are understood to run, and it is offered on that basis.

The CRO outreach window · a planning frame

PhaseTimingWhat the CRO is doingOutreach opportunity
Days 1 to 7Week 1Onboarding, meeting the team, forming first impressions of the stack.Best time to arrive
Days 8 to 21Weeks 2 to 3Diagnosing the revenue motion, finding gaps, informal vendor conversations.Still open
Days 22 to 45Weeks 4 to 6Shortlist forming, formal evaluations starting, first board update being written.Closing
Day 46 onwardWeek 7 onwardDecisions made or close to it, contracts in negotiation.Displacement play only

Detection lag is real, and it works against you

A seven day rule is only useful if the move surfaces inside seven days, and our own measurement says that is not guaranteed for anyone, including us.

When we measured job change rates over three different windows, the three month window returned about half the monthly rate of the twelve and twenty four month windows. Job changes do not slow down in recent months, so the gap is detection lag: a change takes time to surface in any dataset that observes employment rather than being told about it directly. The full measurement is published here.

Two things follow. A signal based approach still beats waiting for a LinkedIn notification or a bounce, because it is checking continuously rather than by accident. And “detected seven days ago” is not the same as “started seven days ago”, so treat the outreach window as running from the start date where you have it, and from the detection date only when you do not.


Part three: where CROs moved in this window

Geographic concentration: US and UK

CRO moves in this window weight toward the United States and the United Kingdom, which tracks the concentration of B2B software companies, the depth of the sales leadership talent market in both, and the fact that named revenue leadership at C suite level is more common in those markets than elsewhere. For sales technology vendors that is where the density sits.

The AI native company pattern

A visible and growing subset of moves are executives joining AI native companies that are building an enterprise sales motion for the first time. These organisations hire a CRO to create the revenue infrastructure rather than to inherit it.

A CRO joining a company like that is not deciding whether to replace a data provider. They are choosing the first one. That is a different conversation from a displacement sale, and it is only visible to someone watching role changes at the right companies.

CRO move types and what each one opens

Move typeWhat it signalsVendor opportunity
CRO into established softwareStack review and possible vendor replacementDisplacement sale
CRO into an AI native companyBuilding the revenue stack from nothingFirst vendor in
CRO into a PE backed companyRevenue motion restructure under an efficiency mandateEfficiency narrative

Part four: the account they left

Every CRO departure opens two situations at once. At the new account a window opens. At the old one, a different clock starts.

A departing CRO takes the revenue strategy, the vendor relationships and the internal advocacy for every sales technology decision with them. Whoever arrives inherits a stack they did not choose and a motion they had no hand in designing. If they were hired to accelerate growth, the instinct is to review all of it and make it theirs.

For a vendor embedded at that account through the departed CRO, the risk is not a cancellation email. It is quieter than that: the new CRO does not treat the renewal as urgent, the person who advocated internally is gone, and by the time the contract comes up nobody has a relationship with the person signing it.

The quiet churn risk. The expensive CRO departure is rarely the one where the new leader rips the stack out. It is the one where they simply do not re sign, because nobody rebuilt the relationship after the champion left.


Part five: three actions for sales technology vendors

1. Watch CRO changes at target accounts on a rolling cadence. 601 moves in five months is 5.6 a working day across the database. On your own target list the number will be small, which is the point: it is a short list of accounts where something specific just changed. Checking weekly is enough to stay inside the window; checking quarterly is not.

2. Have the outreach written before the signal fires. A sequence that references the move, connects it to a revenue problem you can name, and asks for twenty minutes is a different email from a generic introduction. It has to be ready when the signal arrives, not assembled afterwards, because the assembling is what costs the week.

3. Flag customer accounts where the CRO changed, and rebuild the relationship before renewal. A CRO departure at a customer is a churn risk, not a data quality ticket. Assign someone to introduce the vendor to the new CRO inside 30 days. It does not need to be a renewal conversation. It needs to happen before one.


What we did not measure

Three boundaries, stated because the counts above are only worth as much as the line around them.

Outreach outcomes. We count role changes. We do not track which outreach was sent, when, or what it produced, so nothing here is a conversion finding.

Evaluation length. The 30 to 60 day window, the three to five vendor decisions and the comparison against other C suite roles are a planning frame drawn from how these reviews run, not values from the database.

Undetected moves. Only detected changes are counted, and detection lags reality, so 601 is a floor. Role totals also reflect our coverage of the CRO title, which is a younger and less consistently used title than CIO or CMO, so some moves sit under other names.


Methodology and data notes

Data source: Lusha live signal database, 515M+ verified contacts, signals pulled June 1, 2026.

Signal window: January 1 to June 1, 2026, 108 working days.

Signal definitions: CRO company change signals reflect contacts with a confirmed company change event and a current title matching Chief Revenue Officer as of June 1, 2026. Role totals reflect Lusha database coverage and are directional rather than exhaustive. All data is aggregate; no individual names or employers are disclosed.

Privacy and compliance: all data is aggregated and anonymised. No individual contact details are included or derivable from the figures presented. Current certifications are listed on the trust center.

Source report: Executive Mobility Report: C suite, Q2 2026


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