A comparative market analysis should take minutes to assemble. For most agents it still takes hours, because the data lives in five different places.
A comparative market analysis takes too long because the data an agent needs, comparable sales, past appraisal history, current market conditions, usually lives in separate systems that don't talk to each other, so putting together one CMA means manually cross-referencing multiple sources instead of pulling from one.
Agents typically pull comparable sales from one system, check recent listing history somewhere else, and reference market trend data from a third source, then manually assemble all of it into a document. Each individual lookup might only take a few minutes, but doing that five or six times per CMA, and doing it for every appraisal opportunity, adds up fast. The bottleneck isn't the analysis itself, it's the data gathering that happens before the analysis can start.
Every extra hour spent assembling a CMA is an hour not spent following up with the vendor, preparing the listing pitch, or pursuing the next appraisal opportunity. In a competitive listing market, the agent who shows up with a sharper, faster-turned-around CMA often has an edge, not because their analysis is smarter, but because they were able to spend more time on the parts of the pitch that actually win the vendor over.
Most agents build a personal system over time, a spreadsheet template, a folder of recent sales, a shortcut list of go-to sources, that reduces friction but doesn't remove it. It still depends on manually checking multiple places and copying data across by hand every single time.
The fix isn't a better spreadsheet template, it's having comparable sales, past appraisal history, and market data in one place an agent can query directly, rather than assembling it from scratch each time. That turns CMA preparation from an hour of data-gathering into a few minutes of interpretation.
PropertyData gives agents direct access to comparable sales and market data in one place, and Hutly ties that into the appraisal workflow itself, so pulling together a CMA becomes a query, not a research project.
Track how long your last three CMAs actually took, split into data-gathering time versus analysis time.
List every separate source you currently check to build a CMA (sales history, past appraisals, market reports).
Identify which of those sources could realistically be consolidated into one lookup.
Standardise your CMA template so the analysis step doesn't also take longer than it needs to.
Measure turnaround time on your next few appraisal opportunities after making a change, not just the first one.
With comparable sales and market data available in one place, a solid CMA can typically be assembled in well under an hour. The variation between agencies usually comes down to how many separate sources someone has to check first.
Speed and quality aren't in conflict here, the time saved isn't coming from skipping analysis, it's coming from removing the manual data-gathering step. A faster CMA built on the same underlying data is just as reliable.
It matters most where speed to appraisal is competitive, but the time saved compounds for any agent, since every appraisal opportunity currently costs more hours than it needs to.