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Welcome to another Data Driven VC β€œInsights” episode where we cover the most interesting research & reports about startups and VC from the past week.

State of Funding Round Dilution

In one of his recent posts, Peter Walker analyzes dilution data from recent US venture rounds to challenge the idea that giving up 30% at seed is normal. Using Carta data, he shows how dilution has trended lower across stages, with notable differences between software and deep tech.

  • 3,112 Priced Rounds and Under 10% Above 30%: The analysis covers 3,112 primary priced rounds raised by US startups, excluding bridges and extensions. Fewer than 10% of software seed rounds in 2025 involved founders selling 30% or more of the company.

  • Seed to Series B Medians: 20% to 14%: Median dilution at seed sits at 20% for software and 21% for deep tech, then drops to 18% and 22% at Series A. By Series B, medians decline further to 14% in software and 16% in deep tech.

  • Only 3% With Liq Prefs Over 1x: Walker notes that aggressive terms are not replacing headline dilution. Just 3% of Seed and Series A deals in 2025 included liquidation preferences above 1x, suggesting market standards have tightened rather than shifted risk elsewhere.

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✈️ KEY TAKEAWAYS

The data suggests heavy dilution is increasingly an outlier rather than the norm, especially in software. While founders may still need to accept tough terms in constrained situations, citing β€œthe market” is less credible when median dilution is trending down and aggressive structures are being priced out.

Why Capital Recycling Quietly Drives Better LP Outcomes

John Rikhtegar explores how capital recycling can significantly improve net returns for LPs without changing a fund’s headline gross multiple. Using historical examples and industry data, the article argues that disciplined fund management deserves more focus in venture performance discussions.

  • USV Fund I: $125M Raised, $140M Deployed: USV Fund I raised $125M but only called $110M, then recycled early liquidity to ultimately deploy $140M. This approach offset management fees and increased effective capital invested without additional commitments from LPs.

  • 3.0x Gross vs 2.1x Net Reality: A 3.0x gross fund often compresses to roughly a 2.1x net after fees and carry, despite LP underwriting targets of 3 to 5x net. Cambridge Associates data shows only the 2010 vintage reaching a top-quartile DPI above 3.0x net.

  • 20% Recycling Can Lift Net to 2.8x: On a $100M fund, no recycling returns $212M to LPs with $28M in GP carry. Recycling 20% and generating a 5.0x return on that capital increases LP distributions to $276M and GP carry to $44M, all while maintaining the same 3.0x gross multiple.

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✈️ KEY TAKEAWAYS

The article shows that disciplined capital recycling can meaningfully improve net outcomes for LPs, even when gross fund performance stays constant. While not always feasible due to liquidity constraints, recycling reflects a long-term mindset that pairs investment judgment with rigorous fund management.

How Fund Distributions Work in Practice

The Carta team breaks down how fund distributions work in practice, focusing on mechanics, timing, and operational execution for emerging managers. The article emphasizes how distribution decisions affect LP trust, fund metrics, and long-term outcomes.

  • Waterfall Structure: Return of Capital, Hurdle, 80/20 Split
    The text walks through standard waterfall tiers, starting with full return of LP capital, followed by a preferred return, GP catch-up, and a final carried interest split that is commonly 80/20. It also contrasts whole-fund waterfalls with deal-by-deal models and explains how each shifts risk and timing of GP carry.

  • Liquidity Events: M&A, IPOs, Secondaries, Interest Income
    Distributions are triggered by liquidity events such as acquisitions, IPO share sales, secondary transactions, or recurring interest in credit strategies. Carta notes that after five years, over 60% of 2019 vintage VC funds had not yet returned any capital, highlighting why distributions remain top of mind for LPs.

  • Execution Steps: 4 Operational Actions, 27+ LPs Median
    Executing a distribution involves modeling the payout, issuing notices, sending payments, and updating the general ledger. Even sub-$25M funds typically manage around 27 LPs, which makes manual workflows error-prone and communication-heavy for emerging managers.

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✈️ KEY TAKEAWAYS

Carta shows that fund distributions are not just a financial outcome but an operational and strategic process that directly shapes LP confidence. For emerging managers, getting the waterfall right, managing liquidity choices like recycling, and executing cleanly at scale are as important as generating exits themselves.

Cracking the Customer Success Code: Benchmarks and Best Practices

MostlyMetrics surveyed 132 tech companies to examine how Customer Success (CS) teams are staffed, structured, and compensated, revealing just how little consensus exists across organizations. The analysis uncovers common patterns in team size, reporting lines, and incentive plans, as well as what actually impacts renewal and expansion outcomes.

  • Team Size and Coverage: CS intensity peaks between $10M-$50M ARR, then compresses at $100M+. Early-stage companies over-invest in CS relative to headcount, while scaling firms optimize coverage with segmentation and tooling. Most teams staff based on customer count rather than revenue, with little correlation to renewal rates.

  • Reporting and P&L Placement: CS orgs report to a CCO, CRO, or COO roughly in a three-way split, reflecting varied priorities. Placement on the P&L is also fragmented, with some treating CS as a cost center, others as part of sales, and some splitting it across functions, creating inconsistent incentives and accountability.

  • Incentives vs. Outcomes: Nearly 80% of CSMs have less than 20% of pay as variable, while expansion revenue often sits with Account Managers. Metrics like NPS, usage, and adoption are common proxies, but compensation rarely moves renewal rates. Data shows product quality and customer fit drive retention more than CS comp structure.

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✈️ KEY TAKEAWAYS

Customer Success is essential, but clarity beats complexity. Structuring CS as either a cost center or a revenue owner, aligning comp to controllable metrics, and focusing on staffing and coverage rather than chasing variable pay leads to better alignment, less frustration, and ultimately stronger retention outcomes.

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Investor Relations as a Strategic Discipline

This blog post from AngelList highlights how emerging managers can build trust with LPs throughout the life of a fund. It emphasizes that investor relations is not just a fundraising task but a long-term process that impacts credibility, operational readiness, and fund performance.

  • IR Focus - Trust Over Time:
    Investor relations is framed as a discipline that extends beyond fundraising. Consistent communication, transparency, and clear processes reinforce LP confidence and signal that the manager can operate at scale.

  • Fundraising as a Managed Process: Segmentation, prioritization, and a predictable cadence of touchpoints keep prospective LPs engaged without overwhelming them. Treating commitments operationally ensures smooth closes and preserves momentum through first close and beyond.

  • Evolving Expectations Across Funds: LP expectations shift from underwriting potential in Fund I to requiring consistent execution and scalable processes in later funds. By Fund III, formal reporting, repeatable decision-making, and institutionalized operations become essential.

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✈️ KEY TAKEAWAYS

Investor relations is a long-term operating function, not a temporary fundraising activity. Early investment in structured communication, transparency, and process discipline strengthens LP trust and reduces friction across fund cycles, supporting both fundraising efficiency and durable partnerships.

Thanks to Lea Winkler for her help with this post.

Stay driven,
Andre

PS: Reserve your seat for our Virtual DDVC Summit 2026 where expert speakers will share their workflows, tool stacks, and discuss the latest insights about AI for VC

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