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4.6 KiB
4.6 KiB
SBE Council Technology Use Survey — March 2026
Status: provisional research note (session 2026-09-15)
Source (opened this session): https://sbecouncil.org/wp-content/uploads/2026/03/SBE-Technology-Use-Survey-March-2026-Final.pdf
Fielded: February 17–23, 2026 · n=517 small business owners (2–99 employees) · TechnoMetrica for SBE Council · credibility interval ±4.4 pp
Why this note exists
Fresh (2026) category-level signal on how US small businesses use AI, marketing, and sales channels — used to pressure-test GeoLocal wedge, entry paths, and later free/silver/gold packaging. Not a ranked brand list of local SaaS apps (that remains unavailable from this source).
Caveat (scope)
Sample is general SMB 2–99 (professional services, construction, tech, retail, etc.) — not local-only / brick-and-mortar filtered. Figures may skew differently for salons, bakeries, and similar local genres. Report does not mention Google Business Profile, Apple Business Connect, Bing Places, or local SEO by name.
Key findings (sourced)
AI adoption
| Finding | Figure (from source) |
|---|---|
| Use ≥1 AI tool | 82% |
| Median AI tools in use | 5 |
| Confident adopting AI/digital tools | 90% (52% very) |
| AI important to competitiveness/growth (among users) | 81% (41% very, 40% somewhat) |
| Expect major or transformative industry impact | 53% |
| Median annual AI spend | $2,200 |
| Plan to increase AI spend next year | 62% |
| AI in >25% of operations | 32% (8% in >half) |
| Top AI uses | Research 37%, content 30%, marketing automation / project mgmt / social each 25% |
| Primary AI guidance sources | Peers 45%, internal tech staff 38%, associations 37% |
| Top barriers to further AI | Knowledge/training 23%, privacy 17%, cybersecurity 13%, cost 12% |
| Non-users: “see no need” | 62% of non-users |
| Median owner hours saved / week via AI | 5 |
| Median employee hours saved / week via AI | 11.5 |
| Revenue gains attributed to AI | 66% (22% >10% gains) |
Marketing & sales channels
| Finding | Figure (from source) |
|---|---|
| Use social media marketing | 64% |
| Rely on word-of-mouth | 58% |
| Email marketing | 42% |
| Paid online advertising | 35% |
| Highest reported ROI channel | Social 34%, then WOM 24% |
| Platform importance (income/branding) | Facebook 62%, Instagram 43%, YouTube 36%, LinkedIn 29%, TikTok 26%, Amazon 24% |
| Median share of sales from digital/e-commerce | 20% |
| Digital platforms make competing with larger firms easier | 74% |
| Sales channel mix | Website 53%, social 51%, brick-and-mortar 37%; median 3 channels |
| Largest revenue source | Own website 30%, social selling 23%, storefront 14%, online marketplaces 13% |
| Majority of revenue from offline (≥51%) | 31% |
| Plan to add sales channels next year | 47% |
| Median annual digital ad spend | $3,290 |
| Plan to increase digital ad spend (12 mo) | 43% |
Firmographics (context)
| Finding | Figure (from source) |
|---|---|
| Median employees | 12.2 |
| Median 2025 revenue | $684K |
| Median business age | 8.5 years |
| Location type | Commercial office 38%, home office 27%, retail 7% |
Implications for GeoLocal (session synthesis — provisional)
- Owner-AI entry path is timely. High AI tool count + confidence supports “owner (or their AI) asks how we get discovered” as a real GTM surface alongside web chat.
- Discovery gap. AI use clusters on research/content/social — not Core 3 listings. GeoLocal’s free checkup fills an unexamined foundation layer.
- Peer/WOM GTM. Peers are the top AI guidance source; WOM is a top marketing channel. Shareable audit proof + partner referral fits the trust path better than vendor-first cold ads.
- Spend context for later bundles. Median AI (
$2.2k/yr) and digital ads ($3.3k/yr) set a ceiling/context for silver/gold — still pin bundles after value-prop angles are captured. - Hybrid local reality. Website + offline + multi-channel remain central; Discovery foundation (NAP + Core 3 + hours) sits under that, not instead of it.
- Knowledge barrier = free wedge. Top barrier is training/knowledge; free audit + ranked punch list attacks “I don’t know what to fix” and “AI doesn’t apply to me.”
Explicit non-findings
- No ranked brand list of local SMB SaaS (QuickBooks, Square, Toast, etc.).
- No Core 3 / Maps / GBP schema or usage metrics.
- Do not treat category % as local-genre gospel without a local-filtered source.
Related POR
docs/BUSINESS_PLAN.md— north star, wedge, owner workflow, tiers- Packaging free/silver/gold: pinned open until value-prop angles are fully captured