The State of SME Growth (2026)

STATUS: DATA COLLECTION IN PROGRESS. This page is the published research outline, methodology, and framing for Hiilite’s flagship annual report. The underlying study is still running. Every finding below is marked [DATA FORTHCOMING] and will be filled with real, sourced numbers when the data lands. We are publishing the method before the results on purpose. You can read exactly how this study works, judge it for yourself, and decide whether to trust the findings before you ever see them. That is what credible research looks like.

THE SHORT VERSION: The State of SME Growth is original research into how small and medium businesses actually grow, drawn from a mixed-method study of 20 SMEs run through William Walczak’s doctoral work at UBC-Okanagan. It tracks real KPI panels (acquisition, retention, revenue, profitability) across each business over time, pairs the numbers with owner interviews, and reports what moved growth and what did not. The report is built to answer one question most growth content dodges: for a resource-constrained company, which moves actually work, and how do you know. Data collection is underway. This page is the outline, the methodology, and the consent and anonymization firewall that governs it. Get notified when it drops.

Why this report exists

Most “state of” reports are surveys of opinion. Someone polls a few hundred marketers about what they think is working and publishes the averages. That is not what this is.

The State of SME Growth is built on observed behavior and measured outcomes, not self-report alone. It follows a small set of real businesses, pulls their real numbers over time, and pairs those numbers with structured interviews about what the owners actually did. The result is a study of cause and effect at the scale where most of the economy lives: small businesses make up 98.2% of all employer businesses in Canada (ISED, Key Small Business Statistics 2025), and most growth advice is written for the other 1.8%.

The premise is simple and uncomfortable. The growth tactics that get written about are unicorn tactics, built for big, well-capitalized firms. They do not transfer cleanly to a 15-person company that cannot afford a data team, cannot run a thousand-user A/B test, and cannot wait two years for a payoff. This report studies what does transfer. It is grounded in growth-hacking research (Bohnsack & Liesner, 2019, Business Horizons) and the discipline of running marketing as a series of measured experiments (Thomke, “Building a Culture of Experimentation,” HBR, 2020).

What the report will reveal

When the data is in, this report will answer questions an SME owner asks out loud and rarely gets a straight answer to. Each is a section below, and each currently carries a placeholder.

  • Which growth moves produced measurable results for small businesses, and which produced activity but no growth. [DATA FORTHCOMING]
  • How long it actually took for a given move to pay back, by domain. [DATA FORTHCOMING]
  • The gap between what owners believed was working and what the numbers showed. [DATA FORTHCOMING]
  • What separated the businesses that grew from the ones that stalled. [DATA FORTHCOMING]
  • How profitability, not just revenue, changed the ranking of what was “worth doing.” [DATA FORTHCOMING]

Why this is credible

Three things make this report defensible rather than just clever.

  1. It is doctoral research. The study is part of “Growth Mapping: A Mixed-Method Study of Growth Hacking,” William Walczak’s PhD at UBC-Okanagan under Dr. Eric Li, targeting 2026. It is bound by a university research ethics process, not a marketing calendar. Read the full background on the research hub and the framework page.
  2. It measures behavior, not just opinion. The core of the study is real KPI panels pulled from each participating business over time, paired with interviews. That is the standard for analytics-driven decision research (Davenport & Harris, “Competing on Analytics,” HBR, 2006).
  3. The method is public before the findings are. This page. You can scrutinize the design, the sample, the consent model, and the anonymization firewall before a single number is reported. Research you cannot inspect is just an assertion with a chart on it.

Methodology

This section is complete and final. It does not change when the data lands. Publishing it now is the point.

Research question

How do resource-constrained small and medium businesses grow on purpose, and which growth moves produce measurable results across acquisition, retention, revenue, and profitability? Stated in the language of the underlying framework: which directional growth vectors move the KPI panels, for whom, and at what cost.

Design: mixed-method, 20 SMEs

The study follows 20 small and medium enterprises using a mixed-method design that combines quantitative KPI tracking with qualitative owner interviews.

  • Quantitative spine. For each business, the study tracks a standard set of KPI panels over the observation window (see below). Numbers are pulled from each business’s own connected data sources, not estimated or recalled.
  • Qualitative layer. Structured interviews with each owner or decision-maker capture what they did, why, what they believed was working, and what changed. This is what turns a chart into a finding.
  • Within-case and cross-case analysis. Each business is analyzed against itself over time (did the move move the number), then patterns are compared across the 20 to find what generalizes and what is idiosyncratic.

Sample size note, stated plainly: 20 is a small-N, deep study, not a large survey. The trade is depth and causal clarity for one business against breadth across thousands. Findings will be reported as patterns and directional evidence, with effect ranges and caveats, not as population-level statistics. This is an appropriate design for the question and is the standard for interpretable, small-sample analytics research (Chen, Chiang & Storey, 2012, MIS Quarterly). We will not overclaim. [FINAL SAMPLE COMPOSITION — industry mix, size distribution, region — DATA FORTHCOMING]

The KPI panels

Each business is tracked across four panels, mapped to the operational domains of the Growth Mapping framework (the 3Rs):

Panel Domain (3R) Representative KPIs (final list per case)
Acquisition Recruitment leads, cost per acquisition, channel mix, conversion to customer
Retention Retention repeat rate, churn, lifecycle revenue, referral
Revenue Revenue top-line, average order/contract value, pricing changes
Profitability Revenue + the 3Ps rubric margin, cost to serve, true profit per customer

The profitability panel is what separates this study from a marketing report. Most growth research stops at revenue. This one asks whether the growth was worth it once the cost to acquire and serve is counted. That is the same axis the platform uses to rank which move to run next.

Treating each move as an experiment

Where a business made a deliberate growth move during the window, the study treats it as a quasi-experiment: define the move, identify the panel it should affect, observe the before/after, and interview the owner on confounds. This is marketing run as a series of measured experiments rather than a pile of activity (Thomke, HBR, 2020). The growth moves themselves are drawn from an established growth-hacking taxonomy (Bohnsack & Liesner, 2019; Troisi et al., 2019, Industrial Marketing Management).

Observation window

[DATA FORTHCOMING — exact window and cadence.] The study tracks each business across a multi-period window so that moves have time to show payback. Cadence and start/end dates are fixed in the study protocol and will be reported with the findings.

Consent and anonymization firewall

This is the part we will not be casual about. The same study underpins both a university dissertation and a commercial company, so the governance is explicit.

  • Informed consent. Every participating business consents to the study, to the specific data pulled, and separately to any use of aggregated findings in public reporting. Consent for the academic study and consent for commercial reporting are distinct.
  • Aggregation and anonymization. Public reporting uses aggregated and anonymized data only. No individual business is named, no figure is reported in a way that could identify a single participant, and small-cell results are suppressed or banded.
  • Researcher-as-vendor firewall. Because the author is both researcher and agency operator, the roles are walled. Participation in the study is not a sales relationship, study data is not used to sell to participants, and the academic ethics process (UBC research ethics) governs the data, not Hiilite’s commercial interest.
  • Right to withdraw. Participants may withdraw, and the protocol specifies how their data is handled if they do.

If you cannot trust how the data was collected, you cannot trust the data. So we are telling you first.

Report outline

This is the structure the finished report will follow. Every finding is a placeholder until the study reports it. We are showing you the skeleton so you know exactly what is coming and can hold us to it.

Section 1 — The state of SME growth in 2026

A plain-language picture of how the studied businesses grew over the window: who grew, who stalled, and the headline pattern. [DATA FORTHCOMING — headline growth distribution across the 20 businesses.]

Section 2 — What actually moved acquisition

The acquisition panel across cases. Which moves brought customers in at a cost that made sense, and which channels looked busy but did not convert. [DATA FORTHCOMING — ranked acquisition moves by measured result and cost per acquisition.]

Section 3 — Retention: the under-counted growth lever

The retention panel. How much growth came from keeping and expanding customers versus chasing new ones, and what that did to the economics. [DATA FORTHCOMING — retention contribution to total growth; churn and repeat-rate patterns.]

Section 4 — Revenue and the pricing question

The revenue panel. What happened to top-line and to average contract/order value, including any deliberate pricing changes and how owners felt about them. [DATA FORTHCOMING — revenue movement and pricing-change outcomes.]

Section 5 — Profitability: was the growth worth it

The profitability panel, and the reframe that comes with it. The move that grew revenue is not always the move that grew profit. This section re-ranks the findings of Sections 2 through 4 once cost to acquire and cost to serve are counted. [DATA FORTHCOMING — profitability-adjusted ranking of growth moves; true profit-per-customer shifts.]

Section 6 — Belief versus reality

The gap between what owners believed was working and what the numbers showed. This is the qualitative-meets-quantitative payoff of the mixed-method design, and historically the most cited part of research like this. [DATA FORTHCOMING — magnitude and direction of the belief-reality gap, by domain.]

Section 7 — What separated the growers from the stallers

Cross-case analysis. The patterns shared by the businesses that grew and absent from the ones that did not, stated as directional evidence with caveats, not as a recipe. [DATA FORTHCOMING — distinguishing patterns across cases.]

Section 8 — What this means for your business

The practical translation. How an SME owner with no data team should read these findings and what to do differently next quarter. Ties directly to the Growth Mapping framework. [DATA FORTHCOMING — owner-facing recommendations grounded in the findings.]

Appendix — Full methodology, KPI definitions, and limitations

The complete protocol, the per-case KPI definitions, the consent and anonymization detail, and an explicit limitations section. Small-N studies have real limits and we will name them. [DATA FORTHCOMING — limitations and threats to validity, stated in full.]

How to cite this report

When the report publishes with data, cite it as:

Walczak, W. (2026). The State of SME Growth (2026). Hiilite Creative Group. Retrieved from https://hiilite.ai/reports/state-of-sme-growth

For the underlying academic work, cite the dissertation: Walczak, W., “Growth Mapping: A Mixed-Method Study of Growth Hacking” (UBC-Okanagan, supervisor Dr. Eric Li). Journalists and researchers can request the methodology detail and aggregated figures directly. The report ships with Dataset and Report structured data so it is machine-readable and citable by AI engines.

While data collection is underway, cite this page as the published research outline and methodology, dated 2026, and note that findings are forthcoming.

Get notified when it drops

[LEAD MAGNET] The report publishes once data collection and analysis are complete. Two ways to be first.

  • Get the report on release. Leave your email and we send the full report the day it publishes, plus a short summary of the headline findings. [CAPTURE FORM — connect to the email nurture sequence; tag: state-of-sme-growth-waitlist.]
  • Participate in the study. If you run an SME and want your real numbers analyzed under the study’s consent and anonymization terms, you can apply to participate. Participants get their own Growth Map read-out. [CAPTURE FORM / APPLICATION — tag: study-participant-interest. Subject to consent and ethics review; not a sales process.]

No spam. One email when it is ready, and you can leave whenever you want.

FAQ

When does the report come out? Data collection is in progress. We publish the full report with findings once collection and analysis are complete. This page is the methodology and outline, published first on purpose so you can judge the method before the results. Get notified and we will tell you the day it drops.

Why publish the outline before the data? Because credible research is inspectable. Anyone can publish a chart. Showing the design, the sample, the consent model, and the anonymization firewall before reporting a single number is how you earn trust in the number. If the method does not hold up, the findings should not be believed, and you should be able to check the method now.

Is 20 businesses enough to draw conclusions? It is enough for the right kind of conclusion. This is a deep, mixed-method study, not a large survey. It trades breadth for causal clarity in each case. Findings are reported as patterns and directional evidence with stated limits, never as population-level statistics. See the methodology and the limitations appendix.

How is participant data protected? Through informed consent, aggregation and anonymization in all public reporting, suppression of small-cell results, a researcher-as-vendor firewall that separates the study from any sales relationship, and a university research ethics process that governs the data. Participation is not a sales process. Full detail is in the consent and anonymization firewall.

Can I get my own business analyzed? You can apply to participate in the study under its consent terms, or you can book a discovery call to have Hiilite run your numbers through the same Growth Mapping framework commercially. The two are separate. Study participation is governed by ethics review, not by a contract.

Read the framework behind the study. Start with the Growth Mapping framework and the research hub, then get notified when the report drops.

By William Walczak, CEO of Hiilite Creative Group and PhD candidate in Interdisciplinary Graduate Studies at UBC-Okanagan (supervisor Dr. Eric Li). This report is part of the doctoral research “Growth Mapping: A Mixed-Method Study of Growth Hacking.” Profiles: hiilite.com/team/william-walczak · LinkedIn · Google Scholar.