How to Tell a Story with Data on Accelerator Demo Day: Metrics Selection and Presentation Techniques

The 2025-2026 fundraising cycle has introduced a new level of scrutiny for early-stage startups presenting on accelerator demo days. The SFC’s 2024 Consultation Conclusions on the Proposed Amendments to the Code of Conduct for Persons Licensed by or Registered with the Securities and Futures Commission (the “Conduct Code”) explicitly tightened rules around “misleading or exaggerated claims” in fundraising materials, extending to private placements and pre-IPO rounds that frequently follow accelerator programs. For a Hong Kong-based founder targeting a Main Board listing within 18-36 months, the demo day deck is no longer a pitch; it is the first piece of a prospectus-level disclosure chain. Investors, particularly family offices and institutional funds in Hong Kong and Singapore, now expect data narratives that withstand basic due diligence. A startup claiming “300% user growth” without specifying the base period or cohort definition is not just unconvincing—it is a regulatory liability. This article provides a framework for selecting and presenting accelerator demo day metrics that satisfy investor scrutiny and pre-empt SFC enforcement risk, using real 2024-2025 data from programs such as HKSTP’s IDEATION, Cyberport’s Creative Micro Fund, and Y Combinator’s W25 batch.

The Regulatory and Investor Context for Demo Day Metrics

The shift from narrative-driven pitches to data-driven presentations is not stylistic; it is structural. The SFC’s 2024 Conduct Code amendments, effective 2 January 2025, require that any “financial projection, forecast, or estimate” presented to investors must be “based on reasonable assumptions and clearly state the underlying methodology” (SFC, 2024, para. 5.3.2). While this directly governs licensed intermediaries, the expectation cascades to any startup engaging with SFC-regulated funds or sponsors. A demo day pitch that violates this principle—for example, showing a hockey-stick revenue curve without disclosing that 80% of the projected revenue comes from a single, uncommitted LOI—creates downstream liability for the sponsor who later files the A1 application.

Investor behaviour reinforces this. Data from HKSTP’s 2024 IDEATION cohort evaluation shows that founders who presented “cohort retention rates” rather than “total registered users” received 2.3x more follow-up meetings from accredited investors (HKSTP, 2024, internal evaluation summary). The difference is qualitative: a total user number is a vanity metric; a cohort retention rate is a process metric that reveals product-market fit. For a B+ round startup targeting HKD 50 million in ARR, the investor is not evaluating the absolute number—they are evaluating the unit economics that support that number.

Why Vanity Metrics Fail Under Scrutiny

Vanity metrics—total downloads, registered users, page views—are the most common source of demo day rejection. They are easy to inflate and impossible to verify without a breakdown. A startup claiming 500,000 registered users on a B2C app might have 480,000 inactive accounts. The investor’s first question will be: “What is your DAU/MAU ratio?” If the answer is below 15%, the pitch collapses.

The SFC’s 2024 Conduct Code explicitly prohibits “presenting absolute numbers without context where the omission of context would be misleading” (SFC, 2024, para. 5.3.4). For a demo day deck, this means every metric must have a denominator, a time period, and a definition. “Revenue growth of 150% YoY” is insufficient. The correct presentation is: “Revenue grew from HKD 2.1 million in FY2023 to HKD 5.25 million in FY2024, representing 150% YoY growth, driven by a 40% increase in average contract value (ACV) from HKD 120,000 to HKD 168,000.” This allows the investor to test the claim: if ACV grew 40%, the number of customers grew only 78%, not 150%. The story is now verifiable.

The Shift to Unit Economics and Cohort Analysis

The most credible metrics for a demo day presentation are those that reveal the underlying business model. The three metrics that consistently rank highest in post-demo-day investor surveys (YC W25 investor feedback, n=87 respondents) are: gross margin, customer acquisition cost (CAC) payback period, and net revenue retention (NRR). Each of these is a unit economic metric that survives diligence.

Gross margin, for a SaaS startup, is straightforward: (Revenue – COGS) / Revenue. COGS must include hosting, payment processing fees, and customer support labour. A gross margin below 70% for a SaaS company is a red flag; below 50% suggests the business is a services company masquerading as software. The investor will ask: “What is your COGS breakdown?” The founder must have it on a separate slide.

CAC payback period is the number of months required for a customer’s gross profit to cover the cost of acquiring them. The formula is: CAC / (Monthly Recurring Revenue per Customer * Gross Margin). A payback period above 24 months is problematic for a B2B SaaS; above 36 months is uninvestable. The SFC’s 2024 Conduct Code does not prescribe a specific threshold, but the sponsor’s due diligence will require a sensitivity analysis showing payback under different churn scenarios.

NRR measures revenue retention from existing customers, excluding new business. An NRR above 100% means existing customers are expanding faster than they are churning. For a demo day, an NRR of 110% or higher is a strong signal. An NRR below 80% indicates the product has a retention problem that cannot be solved by adding new customers.

Structuring the Data Narrative: From Raw Numbers to a Coherent Story

A demo day deck is not a data dump. The goal is to lead the investor through a logical progression: problem → solution → traction → unit economics → ask. Each data point must serve that narrative. The most effective structure, observed across 15 demo day presentations at Cyberport’s 2024 Creative Micro Fund cohort, is a four-slide data sequence.

Slide One: The Traction Summary

This slide answers the question: “Is this real?” It should show three to five key metrics for the trailing 12 months (TTM), with month-over-month or quarter-over-quarter trends. The metrics must be the ones that matter for the specific business model. For a marketplace, that is gross merchandise value (GMV) and take rate. For a SaaS, it is ARR and net new ARR. For a fintech, it is total payment volume (TPV) and transaction margin.

The slide must include a time-series chart—a line graph showing the metric over 12-18 months. A bar chart showing month-over-month growth is acceptable but less informative. The investor needs to see the slope. A hockey-stick curve that starts six months ago is credible only if the founder can explain the inflection point: a new channel, a product launch, or a pricing change.

The presentation must include the base period. “ARR grew from HKD 1.2 million in January 2024 to HKD 3.6 million in December 2024” is a statement of fact. The investor will then ask: “What was the average monthly growth rate?” The answer should be 10.5% (compound monthly growth rate). The founder should have that number ready.

Slide Two: Unit Economics Deep Dive

This slide answers the question: “Does the business model work?” It should present three unit economic metrics: gross margin, CAC payback period, and NRR. Each must be defined and sourced. The slide should also show a cohort analysis—a table or heatmap showing retention rates for each monthly cohort over 12 months.

A cohort heatmap is the single most powerful visual in a demo day deck. It shows the investor exactly how each group of customers behaves over time. A healthy SaaS company will show a flat or slightly declining retention curve for months 1-3, then stabilising at 90%+ for months 4-12. A churn curve that drops below 70% by month 6 is a warning sign. The investor will ask: “What is the primary reason for churn?” The founder must have a qualitative answer: poor onboarding, lack of feature X, or pricing resistance.

The SFC’s 2024 Conduct Code requires that any “historical data presented as a basis for future projections must be accompanied by a statement that past performance is not indicative of future results” (SFC, 2024, para. 5.3.6). The founder should include this disclaimer on the unit economics slide, even if the deck is not a prospectus.

Slide Three: The Market Sizing and Go-to-Market Plan

This slide answers the question: “How big can this get?” It should present a bottom-up market sizing, not a top-down one. A top-down market size (“the global market for X is USD 50 billion, so if we capture 1%, that is USD 500 million”) is meaningless. A bottom-up market size starts with the number of addressable customers, the average revenue per customer, and the expected penetration rate.

For example: “There are 2,500 mid-market logistics companies in Southeast Asia with annual freight spend above USD 5 million. Our product reduces their freight cost by 12%, and we price at 20% of the savings. If we capture 5% of this market in 3 years, that is 125 customers at an average ACV of HKD 1.2 million, yielding HKD 150 million in ARR.” This is a testable hypothesis. The investor can verify the number of logistics companies, the average freight spend, and the savings percentage.

The go-to-market plan must specify the channel: direct sales, channel partners, or self-serve. The cost per channel must be stated. A direct sales team with a fully loaded cost of HKD 1.5 million per year must generate at least HKD 5 million in new ARR to be viable. The investor will calculate the sales efficiency ratio: (New ARR / Sales & Marketing Spend). A ratio above 1.0x is good; above 2.0x is excellent.

Slide Four: The Financial Projection and Ask

This slide answers the question: “What do you need, and what will you achieve?” It should present a 3-year financial projection: revenue, gross profit, operating expenses, and net income. The projection must be based on the unit economics from slide two. If the CAC payback period is 18 months, the revenue growth rate cannot exceed the rate at which the company can deploy capital to acquire customers.

The ask must be specific: “We are raising HKD 15 million in a Series A round, consisting of HKD 10 million in equity and HKD 5 million in a convertible note. The equity tranche will fund 18 months of runway, during which we will grow ARR from HKD 3.6 million to HKD 15 million.” The investor will then test the math: HKD 10 million in equity at a burn rate of HKD 550,000 per month provides 18 months of runway. To grow ARR by HKD 11.4 million in 18 months, the company must add HKD 633,000 in net new ARR per month. At a CAC of HKD 120,000 per customer, that requires 5.3 new customers per month. The investor will ask: “Is your sales team capable of closing 5 customers per month?” The founder must have a hiring plan.

Presentation Techniques That Build Credibility

The data is only as good as its presentation. A poorly designed slide can undermine even the strongest metrics. The following techniques are based on observed best practices from Y Combinator’s W25 batch demo day, as well as feedback from Hong Kong-based investors who attended the 2024 HKSTP IDEATION showcase.

Visual Design: The Rule of One Metric Per Chart

Each chart should communicate exactly one insight. A bar chart showing revenue, gross profit, and net income on the same axis is confusing. Instead, use three separate charts, or stack them vertically with a clear label. The investor’s eye should go to the trend line, not the legend.

Colour coding should be consistent: green for positive metrics (revenue, gross margin, NRR), red for negative (churn, CAC), and blue for neutral (users, transactions). Avoid using more than three colours per slide. The SFC’s 2024 Conduct Code does not regulate slide design, but a cluttered slide invites the question: “What are you hiding?”

Verbal Delivery: The “So What?” Test

Every data point the founder presents must pass the “so what?” test. If the metric does not directly support the investment thesis, remove it. For example, “We have 10,000 registered users” is a fact. “So what?” The answer is: “Our DAU/MAU ratio is 25%, which is above the industry average of 18% for B2C apps, indicating strong engagement.” The second statement is a data story. The first is a data point.

The founder should practice the three-sentence rule: for each slide, the founder should be able to explain the data in three sentences. Sentence one: the headline metric. Sentence two: the trend. Sentence three: the implication. If the founder cannot do this, the slide is too complex.

Handling the Q&A: Anticipating the Hard Questions

The most credible founders are those who pre-empt the investor’s questions. The deck should include a “risks and mitigants” slide, not as a separate section, but as a footnote to each data slide. For example, under the unit economics slide: “NRR is 105%, but this is based on a 6-month cohort. As cohorts mature, we expect NRR to stabilise at 100-102%, consistent with industry benchmarks for mid-market SaaS.”

The founder should also prepare a “diligence pack”—a separate document containing the raw data behind every chart. This is not presented on demo day, but it is available on request. The investor’s confidence increases when they know the data is auditable.

Closing: Three Actionable Takeaways

1. Replace vanity metrics with unit economic metrics (gross margin, CAC payback period, NRR) and present them with a cohort analysis heatmap; this is the single highest-credibility move a founder can make on demo day.
2. Structure the data narrative as a four-slide sequence—traction summary, unit economics deep dive, bottom-up market sizing, and financial projection with a specific ask—to lead the investor through a logical progression from “is this real?” to “can I make money?”
3. Prepare a diligence pack with raw data behind every chart and a “risks and mitigants” footnote for each key metric; this pre-empts the SFC’s 2024 Conduct Code requirements and signals that the founder is ready for institutional scrutiny.