Open the average deal team’s laptop and you’ll usually find the same picture: a master pipeline spreadsheet, a separate tracker someone built for their own strategy, an inbox full of introduction threads, a folder of meeting notes, and a CRM that holds a partial, slightly outdated version of all of it. None of these tools is wrong on its own. The problem is that the firm’s most valuable asset (who it knows, and the history of every relationship that got it there) lives across all of them at once, with no single place anyone can trust completely.
Why Spreadsheets Win by Default
Spreadsheets are flexible, fast to set up, and require no one’s permission to change. A deal associate can build a tracker for a new sector focus in an afternoon. That flexibility is exactly why they keep working this way and exactly why they fragment the firm’s data the moment more than one person needs the same information.
Each team tracks their own contacts, companies, and history thinking their version is the current version not knowing that they share the same data as other teams. Individually, every tracker makes sense to the person who built it. Collectively, the firm has no reliable answer to a simple question: what is our actual relationship with this person or firm, right now?
What Fragmentation Actually Costs
The cost shows up in ordinary moments rather than dramatic failures. A partner preparing for an LP meeting spends the morning before putting together the real history from three different sources. Two people email the same prospect within a week of each other, unaware the other has already reached out. A senior hire leaves the firm, and the context that only ever existed in their inbox and notes leaves with them because it was never written down anywhere shared.
Multiply this across every relationship a firm has, and the scale becomes clear. A 2026 Demand Gen Report benchmark survey found that only half of organisations across sectors currently report having a genuine single source of truth for their sales and relationship data [1]. For roughly half the market, this scattering of data is still the norm, not the exception.
It’s also a cost that’s easy to underestimate precisely because it’s distributed. No single spreadsheet is the problem. The problem is the sum of all of them, and the hours spent reconciling versions that a proper CRM would have made unnecessary.
Why This is Important in the Alternatives Space
First, deal flow here is relationship-driven, not RFP-driven. A private markets firm doesn’t win its next mandate, coinvestment, or LP commitment by being the lowest-fee bidder responding to a request for proposal, it wins because it was the first call, and being the first call is the output of years of trust built by specific people with specific counterparties. When that history sits in one person’s inbox instead of a shared system, the firm isn’t just risking inefficiency; it’s risking the deal flow itself.
Second, the relationships themselves are built to outlast the tools meant to track them. An LP relationship can span several fund vintages; a sourcing contact or co-investment partner might resurface after years of dormancy. Most systems that stand in for a CRM – the spreadsheets, the inboxes – are built around a much shorter memory: a sales quarter, a deal cycle, not a decade-long arc with multiple re-entry points. EY’s 2025 research on the sector points to why this gap is closing rather than staying comfortable: strategic technology investment is shifting deliberately toward front office, client-facing functions, where it has traditionally trailed the back and middle office [2]. As that investment lands, the patchwork of personal trackers that used to be tolerated becomes harder to defend, not just as inefficient, but as a visible gap relative to where the rest of the market is moving.
From Scattered to Centralised: What Actually Needs to Change
Bringing data into one system is necessary but not sufficient. A few things determine whether centralisation sticks or quietly changes back to spreadsheets within a year:
1) Make the CRM the easiest place to check, not just the official one
The real test isn’t whether the CRM is easier than a spreadsheet in theory, it’s whether it’s faster than pinging the analyst who ran the deal or searching a partner’s inbox for the last exchange with an LP. If it isn’t, people will keep doing the latter, and the CRM becomes a compliance chore rather than the place people actually go for answers.
2) Migrate context, not just contacts
In private markets, that context is rarely a single note field. It’s a co-investment history, a decade of fund commitments and re-ups, a note about what nearly derailed the last deal with this counterparty. A migration that captures fields but not the relationship narrative around them has just replicated the old spreadsheet’s structure without solving the problem it created.
3) Give every team a reason to stop keeping a separate version
Teams didn’t build separate trackers out of habit, they built them because a generic contact record doesn’t reflect how a deal team, an LP relations team, and a portfolio operations team each actually use relationship data. A deal team needs to see a contact’s multiple hats at once: the same person might be an LP in one fund, a potential co-investor on a live deal, and an advisor to a portfolio company – a structure that a standard contact-account-opportunity data model isn’t built to hold. An LP relations team needs a rollup of commitment history and re-up likelihood across vintages, not a single opportunity stage. A portfolio operations team needs board and operational relationships tracked against specific companies, not deals. Designing distinct views for each of these, on a data model that can hold many-to-many relationships between people, firms, and deals, is what actually gives a team a reason to retire its own tracker.
4) Plan for what happens when someone leaves
This is where adoption has to be deliberate rather than assumed. The people holding the most relationship value in a private markets firm are usually senior partners. The group least likely to change habits for a new system unless it’s wired into things they already have to do. Embedding the CRM into IC memo preparation, LP reporting cycles, and fundraising materials turns it into a mandatory touchpoint rather than an optional one. Treated this way, a centralised CRM stops being an IT initiative and becomes part of the firm’s succession and governance planning – insurance against a departure, but only if the record was being kept current in the ordinary course of business, not backfilled after the fact.
The Bottom Line
The scattering of data across spreadsheets, inboxes, and personal trackers isn’t a symptom of poor discipline, it’s a predictable result of flexible tools filling a gap that a shared system was never built to fill in the first place.
The stakes are moving, though. What looks today like an internal efficiency question is on a path to becoming a due diligence expectation: as LPs consolidate around fewer GP relationships and scrutinise platform quality more closely, a firm’s inability to produce an institutional record of its own relationships will read less as a technology gap and more as a governance one.
The practical next step isn’t choosing a CRM vendor. It’s auditing where the firm’s relationship-critical knowledge currently sits, in systems versus in individual inboxes, and treating whatever concentration that audit reveals as a succession risk owned by the IC or COO, not a backlog item for IT. Good looks like this: every senior person’s departure is a non-event for the firm’s relationship history, because none of it was ever only theirs.
How Alpha Alternatives Can Support Your CRM Journey
If you’re implementing a CRM within private markets, or already have one that’s still competing with spreadsheets for relevance, get in touch with Alpha Alternatives. A CRM operating model, in our work, means four concrete things: workflow design specific to how deal teams, LP relations, and portfolio operations each actually use relationship data; migration that carries context and history forward, not just contact fields; a data model built to hold the many-to-many relationships private markets relationships actually have; and an adoption plan that ties CRM use to processes your partners already have to complete, such as IC memos, LP reporting, and fundraising materials. We help private market firms build and run that model, not just select and deploy the software underneath it.
Sources
[1] Demand Gen Report, The Dawn of the Unified Data Strategy: Breaking Down Silos in 2026: https://www.demandgenreport.com/blog/the-dawn-of-the-unified-data-strategy-breaking-down-silos-in-2026/51565/
[2] EY, GenAI in Wealth & Asset Management Survey (2025): https://www.ey.com/en_us/insights/wealth-asset-management/gen-ai-in-wealth-asset-management-survey
