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Why No Competitor Can Replicate This
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.
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.
170+ vendors benchmarked, and every study reads against every prior one. A competitor starting today starts at zero; our base only deepens.
The same evidence base serves sell-side, buy-side, portfolio, and public equity, reframed for the decision each party faces.
Across the Deal Lifecycle
Every engagement runs on primary research plus proprietary data from 100+ completed tech studies. A scored assessment comes back, not a raw transcript.
The Intelligence Moat
Not a better tool. A categorically different infrastructure, built over years and compounding with every engagement, measured against the alternatives your clients actually use.
| Capability | 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 |
Increasing Returns to Scale
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.
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 studySector 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+ studies2,500+ verified customer organisations. Cross-study percentile rankings. Longitudinal sentiment tracking. A competitor starting today must complete 100+ studies before reaching this baseline.
100+ studiesEach study makes the next one more valuable than the last - increasing marginal returns to scale, compounding with every engagement.
The Switzerland Model
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.
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.
Emphasize switching-cost depth in the mandate pitch. This is the headline retention story.
Your moat is real and verifiable. Lead with structural embeddedness in buyer conversations.
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 transactionsLed $500M Series C at $1B+ valuation, 2025
Led $60M Series B, 2026
Led Series C extension, Jun 2025
Led $51M Series C, Jul 2025
$75M investment, 2025
Field Notes
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.
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.
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.
Why We Built This
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.
Tell us the company or market you are evaluating and we will scope the right mix of Core and commissioned research.