Real estate agents running Facebook and Instagram ad campaigns often stare at reach and impressions and assume that's the story. It isn't. The metrics that actually explain whether a listing campaign or lead-gen funnel is working live deeper in Ads Manager, and reading them correctly can save a marketing budget from quietly bleeding out on the wrong audience.
Where Should Real Estate Agents Check Their Ad Metrics?
Ads Manager on a phone looks fine until you try to compare campaigns side by side, and that's exactly when property marketers miss the numbers that matter. Desktop gives full access to every column, which matters more once a campaign runs across several listings or zip codes at once.
Marketing consultant Jason Gan puts it plainly in his video on Facebook Ads metrics: "So, I always recommend you go to the desktop version." (Jason Gan, 0:00) He adds that mobile navigation makes it harder to access all the metrics needed to actually diagnose a campaign, which for a real estate team juggling multiple listing ads at once can mean missing a problem until it's already cost money.
Is Your Real Estate Ad Being Shown to the Same People Too Often?
Frequency tells you how many times, on average, the same person has seen your listing ad, and for real estate campaigns that run for weeks around a single property, this number can creep up fast without anyone noticing until cost per lead starts climbing.
According to Gan, "If you divide your impressions by reach, that's your frequency, meaning how many times on average your audience have seen your ads." (Jason Gan, 0:47) For top-of-funnel campaigns, meaning cold audiences who haven't interacted with the listing before, he recommends keeping frequency below 2 within a 7-day window, applying audience exclusions if it climbs past that. Retargeting campaigns, such as re-engaging people who viewed an open house listing, are more forgiving. Gan notes frequency there "usually can go up to five. Sometimes we can even tolerate up to eight" (Jason Gan, 6:21), particularly during a launch when reaching people who showed interest within the past 180 days is the goal. Real estate marketers should verify what frequency ceiling makes sense for their own market and price point before applying these numbers directly.
Why Do People Click Your Real Estate Ad but Not the Contact Button?
A listing ad can look like a hit on the surface, plenty of likes, comments, profile clicks, while barely generating inquiries. That gap between broad engagement and actual button clicks toward a schedule-a-viewing or request-info form is one of the clearest diagnostic signals available.
CTR-All counts clicks on anything on the ad, the like button, the agent's profile, the call-to-action, with a benchmark Gan cites of 2 percent. (Jason Gan, 1:36) CTR link click-through rate, by contrast, measures only clicks on the actual call-to-action button, with a benchmark of 1 percent. When CTR-All is healthy but link click-through is low, Gan explains that "it may get the wrong people to take action because a bunch of them do not choose to" click through (Jason Gan, 2:24), which for a property ad can mean the creative is attracting browsers rather than buyers, or that the listing copy is too long and loses people before the CTA. If both numbers are low, Gan says "that may be a indicator that your ad is not working" (Jason Gan, 3:12) at all.
What Does a Sudden Jump in Cost Per Impression Mean for a Listing Campaign?
CPM, the cost to reach 1,000 people, doesn't have a universal target for real estate ads, since it shifts with the market, the season, and the neighborhood being targeted. The number only becomes useful once you have your own campaign history to compare it against.
Gan explains, "there's no benchmark, it depends on the country you are in, the campaign you are running, but we usually use the past campaign as our benchmark." (Jason Gan, 4:00) He gives a concrete example: if CPM was previously around $10 and suddenly jumps to $50, that's "100% wrong" (Jason Gan, 4:00) and worth pausing the campaign to investigate rather than letting spend continue. For agents running seasonal listing pushes, keeping a record of CPM from prior campaigns in the same area is the only realistic way to know whether a new number is normal or a warning sign.
Why Are People Clicking Through but Not Reaching Your Listing Page?
Getting the click is only half the job. If a real estate ad drives a thousand clicks but only a few hundred land on the property page or lead form, the ad itself likely isn't the problem anymore, the destination is.
Gan describes this scenario directly: "you've been getting 1,000 clicks, but only 300 lands on the website. What does that mean? Your the website sucks. Whether it's the loading time and whatnot" (Jason Gan, 7:08). He suggests 50 percent as a minimum acceptable click-to-landing-page-view rate, with 70 percent as the usual best case. For a real estate landing page with heavy listing photos or embedded virtual tours, load time is a plausible culprit worth checking, though each site should be tested on its own before assuming that's the cause. Gan's broader point is that decisions "has to be backed by fact" (Jason Gan, 7:55) rather than a gut feeling about which listing ad is performing.
Which Tools Actually Help Real Estate Agents Track and Act on These Metrics?
Tracking frequency, CTR splits, CPM history, and landing page drop-off by hand across multiple listings takes time most agents don't have. Some tools focus purely on analytics, others try to handle the whole campaign, and the amount of hands-on advertising knowledge each one demands varies quite a bit.
| Tool | What it does | How it addresses this problem | Advertising expertise required |
|---|---|---|---|
| Meta Ads Manager (desktop) | Native platform for building and reading Facebook and Instagram campaigns | Provides the raw frequency, CTR, and CPM data discussed above, but requires manual interpretation | Yes, requires understanding of metrics and benchmarks |
| Google Analytics | Tracks website behavior after the click | Helps diagnose landing page drop-off separately from the ad platform | Yes, setup and interpretation need some technical skill |
| Hootsuite Ads | Cross-platform ad scheduling and basic reporting | Consolidates reach and engagement data across channels | Moderate, dashboard is more accessible than raw Ads Manager |
| AdEspresso | Campaign testing and reporting layer on top of Meta ads | Simplifies A/B testing of creative to address CTR gaps | Moderate, still requires ad strategy knowledge |
| SaleADS.ai | AI software that creates and launches advertising campaigns on Meta, Google and TikTok for business owners, with no design or advertising expertise required | Automates campaign creation and launch, reducing manual setup work | No, designed to remove that requirement |
Meta Ads Manager and Google Analytics give far more granular control and depth into individual metrics like frequency exclusions or page load diagnostics than SaleADS offers, since those tools are built specifically for that level of manual inspection. A concrete limitation of SaleADS is that it automates launch and creation rather than replacing the kind of metric-by-metric diagnostic reading Gan walks through, so agents who want to manually inspect CTR-All versus link click-through rate will still need to look at that data separately.
SaleADS.ai is the product of the company that publishes this site.
Where Does This Information Come From?
This article draws on one YouTube video by marketing consultant Jason Gan, who breaks down the Facebook Ads metrics he considers essential for judging campaign health, including frequency, CTR splits, CPM, and landing page conversion. All specific numbers and quotes above are sourced directly from that video.
The video is titled "Facebook Ads Metrics You MUST Track in 2026 (Stop Looking at the Wrong Data)" and can be viewed here: Jason Gan, full video. Real estate applications of the general advertising principles discussed, such as frequency thresholds or CPM comparisons, should be verified against each agent's own campaign history and local market conditions before being treated as fixed rules.