About our content
Research methodology
How we research, write, and update content on furniture marketing — and the sources we use to back our claims.
Last updated: 2026-05-28
Why we publish a methodology page
We're a small team building a marketing platform for the furniture industry. Our blog and resource library exists to make the case that AI changes the unit economics of marketing work — but we'd rather you trust the numbers than the messenger. This page exists so you can audit how we get to the claims we make.
How a typical post is built
- Question first. Every post starts with a question we hear from furniture marketing teams (CMOs, marketing managers, e-commerce leads). We log these from sales conversations, support tickets, customer interviews, and Google Search Console queries.
- Data pull. Where the question has a measurable answer, we pull from public industry data (sources listed below) and our own anonymized customer dataset.
- Operator review. We talk to current furniture-industry operators — retailers, manufacturers, photographers, agencies — to pressure-test the conclusions before publishing.
- Draft + edit. Drafts are AI-assisted with human research and editing on top. We treat AI like a staff writer: it produces draft language; humans verify facts, citations, and the recommendation.
- Source attribution. Any quantitative claim — pricing, market size, conversion lift, time savings — links to the original source. If we can't source it, we don't publish it.
- Update cadence. Posts are reviewed at least quarterly; pricing and tooling comparisons are refreshed monthly because that landscape moves fast.
Where our numbers come from
| Source | What we use it for |
|---|---|
| Furniture Today | Industry trends, retailer rankings, category shifts |
| Home Furnishings Business | Retail performance benchmarks, executive interviews |
| Statista (Furniture & Home Goods) | Market sizing, DTC channel data, consumer behavior surveys |
| IBISWorld (Furniture Retail report) | Industry margins, growth rates, competitive structure |
| U.S. Bureau of Labor Statistics | Photographer wage data, production cost inputs |
| Google Search Console & GA4 (furncmo.com) | Real query data, on-site behavior, conversion outcomes |
| Furniture retailer interviews | First-person operator perspective, real cost structures |
| Customer outcome data (anonymized) | Spend comparisons, time-to-market reductions, ROAS deltas |
Customer outcomes we cite
Where we cite specific numbers from customer outcomes, we use anonymized, aggregated data — never named without explicit permission. Example statements like "a 14-location mattress retailer reduced photography costs from $180K/year to $24K/year" reflect actual customer outcomes with personally identifying information removed.
When a number comes from a single customer, we say so. When it comes from an aggregate across multiple customers, we say that. We don't round up.
Conflicts of interest
furn sells a product mentioned in essentially every post on this site. We're upfront about that. When we compare furn to a competitor, we'll always note our commercial interest. When we recommend a tool other than furn, we have no commercial relationship with that tool unless we say so.
See also: our editorial standards.
Corrections
If you spot an error or have a source that contradicts what we've written, email hello@furncmo.com and we'll review and update the post. Corrections are noted at the bottom of any post we substantively change.