Benchmarking your numbers against the local market
Your average time from listing to offer accepted moved from 48 days to 74 in one quarter. That is either a marketing problem serious enough to change what you spend, or it is what happened to every three-bed in that postcode after two schemes released competing stock. The number on its own cannot tell you which, and an internal dashboard never will, because it only ever compares you to you.
Turning the numbers outward is three jobs: finding comparables you can defend, normalising them for stock type and price band, then deciding whether the gap is a market fact you plan around or a performance problem you fix.
Start from the decision, not the dashboard
Three verdicts are available, and each has a different next move.
- The gap is yours. Response times, photography, pricing advice to vendors, channel mix. Fixable inside the quarter.
- The gap is the market's. Supply, rates, seasonality, the stock you happen to hold. The move is re-planning: vendor expectations, budget phasing, a revised forecast.
- The gap is unreadable. Too few comparable transactions to tell signal from noise. The move is to instrument and wait.
People skip the third. Below roughly 30 comparable transactions in a band, the spread around the local average is wider than most gaps you would act on. Aggregate four quarters, widen the geography, or say out loud that you cannot yet tell.
Where local comparables actually come from
Official transaction records. HM Land Registry price paid data in England and Wales, notarial databases in France, the local MLS in the US. Complete on price and date, silent on marketing: no enquiry counts, no time on portal. They also record completion rather than agreement, so they describe a market that is a quarter old.
Portal advertiser dashboards. Zoopla reports listing views, enquiries and time on site by postcode, at a granularity registries never reachreachThe number of unique people exposed to your message in a given period. Unlike impressions, reach counts each person once, no matter how often they see it.View full definition →. Zoopla sells advertising to agents, so its benchmark for healthy enquiry volume is a benchmark for healthy performance on Zoopla. If a meaningful share of local buyers start elsewhere, the denominator is wrong before you begin.
Paid comparables data. CoStar sells exactly this, subscription market data and analytics, strongest on commercial and investment stock. Worth the licence when your book is mixed-use or you need rent and yield comparables portals handle badly. Overkill if you list twelve family homes a year.
Your own history, same band, twelve months back. The cleanest comparison you will get, because the only things that changed are you and the market. It requires enquiry source, listing and outcome to sit in one stream rather than three exports; a CDPCDPSoftware that unifies customer data from every source into one persistent profile that marketing, sales and service teams can act on.View full definition → such as Segment (which sells that plumbing) is one way to hold the identity together long enough to measure.
Normalising for stock type and price band
Most benchmark arguments are really mix arguments. Suppose the market in your patch takes 41 days to agreed on flats and 79 days on family houses. Your listing mix moved from 70% flats last year to 40% flats this quarter.
Mix-adjusted benchmark = Σ (your share of segment i × market metric for segment i)| Last year | This quarter | |
|---|---|---|
| Your mix, flats / houses | 70 / 30 | 40 / 60 |
| Mix-adjusted market days to agreed | 52.4 | 63.8 |
| Your actual days to agreed | 48 | 74 |
| Gap | 4.4 days better | 10.2 days worse |
Your headline deteriorated by 26 days. About 11 of those are mix: you are selling slower stock. The other 15 are yours, and they are the only ones worth a campaign response. Present the raw 26 to a principal and you will be told to fix something that is not broken.
Two more normalisations before you compare:
- Price band. A £2m listing draws a fraction of the enquiries a £300k listing draws, and costs several times more per lead. That is the shape of the band, not underperformance. Compare within band or not at all.
- Season and definition. December and August distort everything. And check what the published metric counts: days on market usually measures listings that sold, with withdrawn and expired stock dropping out. If your own average includes the listings you failed to sell, you are comparing yourself to a survivor pool and will look slow forever. Fix the definition before you touch the campaign.
Knowledge check
1. Why can an identical cost per lead (CPL) figure be considered both excellent and terrible in real estate marketing?
2. What is the main flaw in using a blended national CPL benchmark (e.g., '$50 to $150 is good') to evaluate your own campaigns?
3. An agent gets a suburban starter-home lead at the same CPL as a luxury condo lead, but the starter-home lead takes far longer to close relative to its commission value. What does this scenario illustrate?
4. Select ALL correct answers about the variables that a single blended marketing benchmark tends to obscure.
Select all the correct answers.
5. Select ALL correct answers about why time-to-close should be tracked in weeks or months rather than days for higher-value properties.
Select all the correct answers.
When the gap is a market fact
Three tests, run in order.
Does the gap appear in every segment or one? A uniform lag across bands and stock types points inward, at response time, pricing advice or listing quality. A lag concentrated in one band points at the stock in that band.
Does it survive mix adjustment? If the gap disappears once you weight for your own mix, you have a portfolio composition question for the acquisition side, not a marketing question.
Is the gap structural? Some of it no campaign shortens. Notary-driven completion in France and Spain adds weeks by law. Leasehold sales in England and Wales routinely take longer to exchange than freehold because of the management pack. Pre-construction and off-plan cycles run in quarters, sometimes years. Benchmarking off-plan enquiry-to-reservation against resale is a category error that makes a functioning campaign look dead.
Two failure modes are worth naming, because both are common and both cost money.
The first is chasing a lagging benchmark. Registry data records completions, which typically follow agreement by a couple of months, and is published with its own lag on top. Setting asking prices to that benchmark means pricing to a market that no longer exists: you leave money behind when the market is rising and re-price late when it turns.
The second is what happens when a benchmark becomes an internal target. Make days to offer the number agents are judged on and some of them will withdraw and relist slow stock, which resets the published clock and improves the metric while the property sits exactly where it was. Any benchmark you publish internally needs a second, harder-to-game number beside it, which is where the leading indicators the engagement lesson isolates earn their place.
One caveat on which gaps are worth closing at all. A higher cost per lead in a band where the relationship persists (portfolio landlords, lettings renewals) is more tolerable than the same gap on a one-off resale, for the reasons the lifetime-value lesson sets out. Benchmark against the local market, then let the value of the segment decide how hard you chase the gap.
Where to find real local data
Do not run decisions off the illustrative numbers above. Pull local ones from:
- Your MLS board's absorption and days-on-market reports, or the equivalent registry release in your market
- NAR Research for US national and regional trend data (free)
- Portal advertiser dashboards such as Zoopla, by postcode, read as one channel's view rather than the market's
- A paid comparables subscription such as CoStar where your stock is commercial, mixed-use or investment-led
- Your own CRMCRMCustomer Relationship Management: software and strategy to manage and analyse customer interactions throughout their lifecycle.View full definition → and warehouse history, same band, same postcode, twelve months back
🎬 [VIDEO: "Real Estate Marketing Metrics That Actually Matter" - youtube.com - search for recent NAR or Inman-affiliated talks on lead conversion benchmarking by price tier]
Key Takeaways
- Benchmarking answers one question: is this gap mine or the market's? Reach a verdict, or admit the sample is too thin to reach one.
- Weight the local benchmark by your own stock mix before comparing. A mix shift can account for most of a headline deterioration and none of it is fixable by marketing.
- Check that the published metric measures what yours measures. Days-on-market stats usually exclude withdrawn listings, which makes the market look faster than it is.
- Some gaps are structural: notary timelines, leasehold management packs, off-plan cycles. Plan around them instead of spending against them.
- Registry-derived benchmarks describe a market roughly a quarter old, and any benchmark used as an internal target will eventually be gamed, relisting to reset the clock being the classic move.