Side offering · From our benchmark research
Benchmark data for partners — from the same research we use to build better sites
We build performance-focused websites and landing pages. To do that well, we study Florida service businesses in depth — speed, structure, and public signals — which powers the Florida Web Performance Index. That research is secondary to our build work, but for select, qualified partners we also make filtered access to parts of that dataset available: documented exports suited to analysis and strategy — not bulk outreach lists.
This is not our core business. We don't sell named lead lists for cold outreach. Where it helps, we aggregate, bucket, or withhold fields — and we scope what you're actually getting before any engagement.
Who we typically work with on this
A small add-on for organizations that benefit from benchmark-grounded context — we take these case by case.
Pitch support and vertical context grounded in the same Florida benchmark layer we use internally — without you standing up the whole measurement stack.
Competitive density, performance bands, and public tech signals in your metros — scoped to industries you care about, for planning—not spray-and-pray lists.
Market framing and narratives using aggregated or bucketed signals from public-site observation — not contact harvesting.
Coverage and methodology aligned with what we publish on the index, so citations stay consistent with our public story.
How we structure benchmark records
This is the same progression we use to inform website and performance strategy internally. For partner exports, we agree which stages and confidence cuts apply — so denominators stay honest.
- 1
Tracked
Businesses discovered and retained in the index with stable internal identity, geography, and industry assignment. Count aligns with public “tracked statewide” totals.
- 2
Observed on the public site
Public website URL and page-level signals where the page was successfully read — tech tags, schema hints, CMS patterns, etc. No paywalled or login-gated content.
- 3
Enriched
Lab performance runs (e.g. mobile score, load-time proxies) attached when the pipeline successfully benchmarks the matched URL. Not every tracked row is enriched on every run.
- 4
Confidence-qualified
Website match confidence (high / medium / low / manual review). Most public figures on our site use medium+ matches so denominators stay honest. Partners can request tighter cuts when it makes sense.
What's included in a typical export
Exact columns depend on what we scope together. Below is the category menu we can draw from — not a promise of every field for every row.
- Filter dimensions you agree with us: state, metro / city, industry (including mapped clusters), ads-running, score bands, confidence cuts.
- File formats: CSV / Parquet for analytics teams; optional summary-only aggregates for press or investor use.
- Data dictionary: column definitions, known biases, and refresh cadence in writing.
- Alignment option: metrics computed the same way as the public index so your story matches ours.
- On-request: scheduled refresh windows, historical snapshots (where retained), and NDA-governed custom fields.
Internal opaque ID, city, state, industry labels, lat/lng at metro precision (no street addresses in standard exports).
Public website URL or domain, match confidence label, benchmarkable flag, exclusion flags where applicable.
Mobile PageSpeed-style score, load time / LCP proxies, snapshot timestamps (when enriched).
Public review count/rating where observed, ads-running indicator — suitable for market analysis, not cold outreach lists.
Boolean / categorical signals: analytics tags, pixels, schema, CMS hints — always tied to the matched URL, not verified PII.
Live coverage snapshot
Pulled from the same canonical public stats object as our marketing pages — refreshed on a server cache cadence (typically a few hours). Last refresh label: Mar 21, 2026.
Tracked businesses
16,000
Industries (rows)
56
Cities represented
8
Records touched (30d)
0
With website URL
0
Site scrape events
0
PageSpeed-enriched (reported)
0
Enriched + medium+ match
0
Avg mobile (medium+)
54.9
% below 70 (qualified mobile)
—
Target scale (roadmap)
50,000
“Target scale” is the public roadmap cap — not current coverage. Partner scopes are quoted against available rows when we agree to move forward.
Methodology & confidence
We publish how the flagship index is built: discovery, benchmarking tools, and limitations. Partners get a written slice spec that uses the same definitions so figures stay comparable to what we show publicly.
Sample structure (masked)
Illustrative rows only — domains and IDs are obfuscated. Real samples under NDA use your chosen filters and column set.
| record id | city | state | industry | website | match confidence | mobile score | load sec | ads running | review bucket |
|---|---|---|---|---|---|---|---|---|---|
| fl_••••9a2f | Jacksonville | FL | HVAC | cool***air.example | high | 44 | 4.8 | true | 120–199 |
| fl_••••3c81 | Tampa | FL | Roofing | roof***pro.example | medium | 58 | 3.1 | false | 20–49 |
| fl_••••e710 | Miami | FL | Legal | law***grp.example | high | 72 | 2.4 | true | 200+ |
Engagement options
No shopping cart — every deal is scoped. Tiers describe typical engagements; final pricing depends on filters, columns, refresh, and compliance review.
One-time export: fixed geography × industry slice, agreed confidence cut, CSV/Parquet, data dictionary.
Pitch prep, single campaign, or proof of value.
Discuss SnapshotQuarterly refresh of an agreed universe + change log between drops + email support for analyst questions.
Ongoing GTM, client reporting, or product teams.
Discuss ProgramMulti-state expansion, aggregate-only deliverables, API-style feeds we host, or co-branded research.
Large vendors, platforms, or strategic partnerships.
Discuss Custom / EnterpriseInterested?
Our day job is websites and performance. If partner benchmark data would help your team, tell us your organization, geography, industries, and whether you need row-level or aggregate delivery. We'll reply with universe size, sample columns, and next steps — usually within two business days.