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    Intelligence for Private & Public Markets

    Crossover Research

    Research designed for your specific needs. Make decisions with confidence.

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    Trusted by leading funds and advisors

    General Atlantic
    K1
    Francisco Partners
    Five Elms Capital
    Lead Edge Capital
    Tidemark
    JP Morgan
    General Atlantic
    K1
    Francisco Partners
    Five Elms Capital
    Lead Edge Capital
    Tidemark
    JP Morgan

    Why No Competitor Can Replicate This

    An edge no competitor can buy.

    Data and sourcing platforms tell you which companies exist. Crossover tells you whether their customers will stay, and why. That is primary evidence you cannot query from a database.

    Primary evidence we own

    Customer truth gathered directly and owned by the decision-maker: 16,000+ primary responses and 1,700+ verbatim quotes, never scraped or rented from a database.

    A corpus that compounds

    170+ vendors benchmarked, and every study reads against every prior one. A competitor starting today starts at zero; our base only deepens.

    One engine, every side of the deal

    The same evidence base serves sell-side, buy-side, portfolio, and public equity, reframed for the decision each party faces.

    See the full comparison

    Across the Deal Lifecycle

    How each deal team puts it to work.

    Every engagement runs on primary research plus proprietary data from 100+ completed tech studies. A scored assessment comes back, not a raw transcript.

    Sell-Side Advisory
    Mandate → Close
    Crossover Research

    Win the mandate, then carry the evidence through close.

    • Walk into the pitch with primary customer proof, know the company better than anyone else
    • Pre-empt diligence with an equity story buyers can underwrite
    Case · Nerdio

    J.P. Morgan won the exclusive sell-side mandate on the strength of 30+ customer interviews.

    View the study How Crossover helps here
    What Every Study Measures
    Customer Value & Market Need
    Competitive Performance
    Customer Loyalty
    Feedback Integration
    Brand Awareness

    The Intelligence Moat

    The architecture no competitor can replicate.

    Not a better tool. A categorically different infrastructure, built over years and compounding with every engagement, measured against the alternatives your clients actually use.

    CapabilityCrossover Research
    Expert Networks & AI Call Tools
    Tegus · GLG · AI diligence platforms
    In-House Analysts
    Internal team
    Proprietary network
    Our own expert network: 80,000+ tech leaders and 16,000+ verified respondents, with 600+ customer orgs sourced per study via our proprietary research engine Cortex
    Rented access to a shared third-party roster or AI index
    No standing network; built by hand from CRM and cold outreach each time
    Negative signal
    We choose respondents to surface negative signal, including churned and lost accounts rosters never include
    Skews to current, willing users; churned customers leave nothing to index
    Independent, but bandwidth limits how many detractors get reached
    Evidence standard
    Verbatim, every claim cited to a named customer conversation
    Anonymous notes; AI tools summarise and recombine, citing no named source
    Varies by analyst, typically summarised
    Data access
    You receive the raw underlying data cuts with respondent contact info, free to re-contact and audit any source
    Summary notes only, no way to re-contact; AI cites no source at all
    An internal deck; underlying data rarely shared or structured
    Structured scoring
    The Core 9 rubric scored on every respondent: NPS, retention, switching costs, expansion intent
    Qualitative call notes only; AI sentiment is not a rubric
    Custom per engagement, no consistent framework
    Turnaround
    2.5 weeks from kick-off to IC-ready deliverable
    1-3 weeks for calls; AI is instant but unverifiable
    6-12 weeks for comparable coverage
    Cross-study benchmarking
    Sector percentile rankings against 100+ completed studies
    No corpus; every engagement and every AI query starts from zero
    Knowledge lost at analyst turnover
    Compounding value
    Every study enriches all prior work. 950+ benchmarks and counting; each engagement is worth more than the last
    Resets every time; AI re-scrapes the same public web on each deal
    Resets at departure; no institutional memory
    Proprietary network
    Crossover Research
    Our own expert network: 80,000+ tech leaders and 16,000+ verified respondents, with 600+ customer orgs sourced per study via our proprietary research engine Cortex
    Expert Networks & AI Call Tools
    Rented access to a shared third-party roster or AI index
    In-House Analysts
    No standing network; built by hand from CRM and cold outreach each time
    Negative signal
    Crossover Research
    We choose respondents to surface negative signal, including churned and lost accounts rosters never include
    Expert Networks & AI Call Tools
    Skews to current, willing users; churned customers leave nothing to index
    In-House Analysts
    Independent, but bandwidth limits how many detractors get reached
    Evidence standard
    Crossover Research
    Verbatim, every claim cited to a named customer conversation
    Expert Networks & AI Call Tools
    Anonymous notes; AI tools summarise and recombine, citing no named source
    In-House Analysts
    Varies by analyst, typically summarised
    Data access
    Crossover Research
    You receive the raw underlying data cuts with respondent contact info, free to re-contact and audit any source
    Expert Networks & AI Call Tools
    Summary notes only, no way to re-contact; AI cites no source at all
    In-House Analysts
    An internal deck; underlying data rarely shared or structured
    Structured scoring
    Crossover Research
    The Core 9 rubric scored on every respondent: NPS, retention, switching costs, expansion intent
    Expert Networks & AI Call Tools
    Qualitative call notes only; AI sentiment is not a rubric
    In-House Analysts
    Custom per engagement, no consistent framework
    Turnaround
    Crossover Research
    2.5 weeks from kick-off to IC-ready deliverable
    Expert Networks & AI Call Tools
    1-3 weeks for calls; AI is instant but unverifiable
    In-House Analysts
    6-12 weeks for comparable coverage
    Cross-study benchmarking
    Crossover Research
    Sector percentile rankings against 100+ completed studies
    Expert Networks & AI Call Tools
    No corpus; every engagement and every AI query starts from zero
    In-House Analysts
    Knowledge lost at analyst turnover
    Compounding value
    Crossover Research
    Every study enriches all prior work. 950+ benchmarks and counting; each engagement is worth more than the last
    Expert Networks & AI Call Tools
    Resets every time; AI re-scrapes the same public web on each deal
    In-House Analysts
    Resets at departure; no institutional memory
    Structural advantage Partial / conditional Not available

    Increasing Returns to Scale

    Each study makes the next one more valuable.

    Every completed engagement enriches the corpus. Sector benchmarks sharpen. Contact coverage expands. The compounding advantage is structural - a competitor starting today begins at Study 1.

    01A data point
    Custom VoC Study

    A single mandate-level study delivers 30 to 100+ verified customer interviews. Sector benchmarks start from zero. Output is high quality but isolated, with no prior context to benchmark against.

    1 study
    10A benchmark
    Crossover Core

    Sector NPS benchmarks, retention norms, and competitive win-rate distributions become meaningful. Each new study is pre-contextualised; you already know what good looks like in this vertical.

    10+ studies
    100+A standard
    Crossover Intelligence

    2,500+ verified customer organisations. Cross-study percentile rankings. Longitudinal sentiment tracking. A competitor starting today must complete 100+ studies before reaching this baseline.

    100+ studies
    Corpus value per study rises with the number of completed studiesA smooth S-curve climbing from a single data point at one study, to a benchmark at ten-plus studies, to a standard at one hundred-plus studies.A data point1 studyA benchmark10+ studiesA standard100+ studies11020305080100+NUMBER OF STUDIES COMPLETEDCORPUS VALUE PER STUDY

    Each study makes the next one more valuable than the last - increasing marginal returns to scale, compounding with every engagement.

    The Switzerland Model

    We gather customer truth once. We speak every party's dialect.

    We do not manufacture different truths for different clients. The verbatim does not change. What changes is the framing: the same evidence, reinterpreted for the decision each party faces.

    Input · The verbatim truth
    “

    We would never switch; it is too embedded in our workflows. Rebuilding around something else would take 18 months and we have no appetite for that disruption.

    VP Operations, enterprise SaaS · 400+ seat deployment
    Output · Strategic dialects
    For the sell-side advisor

    Emphasize switching-cost depth in the mandate pitch. This is the headline retention story.

    For the portfolio company

    Your moat is real and verifiable. Lead with structural embeddedness in buyer conversations.

    For the buy-side investor

    High switching costs confirm defensible NRR. Churn risk is structurally constrained, not just management-claimed.

    From a team that did this work inside MBB, top TMT funds, and activist campaigns. Consultants are extractive and advocacy-driven; we are accumulative and truth-seeking.

    Associated Transactions

    22 transactions

    Deals the research supported.

    Nerdio
    Nerdio
    General Atlantic

    Led $500M Series C at $1B+ valuation, 2025

    GenLogs
    GenLogs
    Battery

    Led $60M Series B, 2026

    Onebrief
    Onebrief
    Battery

    Led Series C extension, Jun 2025

    Spacelift
    Spacelift
    Five Elms

    Led $51M Series C, Jul 2025

    RoomPriceGenie
    RoomPriceGenie
    Five Elms

    $75M investment, 2025

    Field Notes

    What our clients say.

    “

    Having a Voice of Customer document was seen as a differentiator by the client. The findings from your report were a key part of the equity story materials we presented.

    Executive Director, J.P. Morgan
    Sell-side mandate · $10B transaction
    “

    We use the reports to extract salient points onto two to four summary pages that show why our client is better than others and the key propositions by which they win in the market.

    Executive Director, J.P. Morgan
    Software mandates
    “

    The VoC content was well received during the pitch. The CEO told us we hit all the right points on customer highlights and concerns, and the client thought the work was differentiated and unique.

    Managing Director, J.P. Morgan
    Post-mandate debrief

    Why We Built This

    We built the firm we wish existed, after living the cost of not having it.

    Fifteen years running an institutional research desk across a 750+ company universe, plus three attempts to sell our own firm, taught us two things: the truth lives with the customer, and the wrong owner can quietly unmake a great business. Crossover is independent, primary Voice of Customer evidence, owned by the people making the decision.

    At Crossover we love what we do and we do not like losing.

    Brad Lyons
    Brad Lyons
    Founder, Crossover Research
    Read the full story

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