What Zillow's Q2 Earnings Mean for Real Estate Lead Costs

If Zillow’s Q2 print looked good, the next budget move still is not “add Zillow” or “cut Zillow.” For a real estate media buyer, the useful question is narrower: which part of the Zillow spend is still being judged like a lead auction, which part is now being repriced around closings, and how should that change a Q4 test against Google and Meta?

The Q2 number that should bother an old Zillow CPL model

The Zillow Q2 earnings real estate advertising impact is not that total revenue rose 18%. That is useful for understanding platform momentum, but it does not tell a broker-owner whether the next $10,000 should go to Zillow, Google, or Meta. The more important sentence is that residential growth was partially offset by a decrease in market-based pricing revenue [1].

That phrase matters because market-based pricing is the old mental model many buyers still use when they compare Zillow Premier Agent with Google search CPL or Facebook lead forms. Buy a territory or exposure, receive leads or connections, calculate a blended cost per lead, then argue about lead quality when closings fail to follow. It was never a perfect model, but at least the denominator was familiar.

Zillow is deliberately making that denominator less central. On the Q2 call, management said Preferred connections represented 61% of Premier Agent connections, compared with 27% a year earlier, and reiterated a target of more than 75% by the end of 2026 [2]. The company also said Preferred was 44% of connections at the end of 2025 [2]. That is not a cosmetic packaging change. It changes what the buyer is actually reconciling.

Under a legacy CPL or cost-per-connection view, the weekly conversation starts with volume and price: how many contacts came in, what they cost, how many were reachable, and whether the agent team worked them fast enough. Under a pay-at-close structure, the argument moves downstream. The platform is trying to participate in the transaction outcome, and the buyer has to model cash timing, close rate, fee load, attribution, and sales capacity. A cheap lead report can look fine while the closing ledger gets worse; that is exactly why this shift deserves more attention than the top-line beat.

Preferred connections make “Zillow CPL vs. Google CPL” a weaker comparison

The mistake going into Q4 would be to pull last quarter’s Zillow cost per connection, put it next to Google search CPL and Meta CPL, and declare a winner. That comparison is already decaying because Zillow’s revenue mix is not standing still.

The CFO’s comments make the direction clear. Zillow said revenue per connection under the Preferred model was up 23% versus the legacy model in 2025, and the company targeted a 35% lift by the end of 2026 [2]. Zillow also described 700 to 800 basis points of revenue shifting from residential to mortgages by Q4 [2]. For media planning, those two facts say the same thing in different places: the old residential lead-revenue line is being re-cut, and the platform wants more economics attached to the completed transaction.

That can be good or bad for an individual advertiser. A high-converting team with disciplined follow-up may prefer a channel that sends fewer but more commercially committed opportunities, especially if cash is due closer to success. A small team that used Zillow as a predictable top-of-funnel source may see less comfort in the dashboard, because the reported unit is no longer cleanly comparable to a search campaign, a Facebook form, or an LSA phone call.

The operating review should therefore separate three lines that often get blended together:

• Legacy Premier Agent assumptions: purchased connections, response rate, appointment rate, signed-client rate, close rate, and gross commission contribution.
• Preferred assumptions: accepted connection volume, close rate, pay-at-close economics, attribution rules, and the cash-flow timing of the obligation.
• Off-portal alternatives: Google search, Google LSA, and Meta measured on lead-to-close data from the same market and the same sales team.

The third line is where most bad reallocations happen. Buyers see a lower CPL outside Zillow and forget that the lead still has to be contacted, qualified, nurtured, shown homes, financed, and closed. For the workflow side of that problem, the useful companion piece is real estate lead-gen mechanics and speed-to-lead. The ad platform cannot rescue a team that lets serious inquiries age in the CRM.

Use third-party CPL benchmarks as context, not as a buy order

Public CPL benchmarks are useful for pressure-testing whether a campaign is wildly out of range. They are not a substitute for a closed-transaction model, and they are not Zillow-reported results or Signal & Convert campaign data.

The table explains why a broker can feel like Google or Meta is cheaper while the P&L refuses to agree. A $90 form lead that closes rarely is not cheaper than a $200 connection that turns into a signed client at a much higher rate. The reverse is also true: if a portal connection carries a higher downstream fee and the team’s close rate is weak, the dashboard’s lead quality story will not save the channel.

For Q4 planning, the only fair comparison is cost per closed transaction, with enough sub-metrics to show where the channel is failing. At minimum, keep separate columns for contacted rate, appointment rate, signed-buyer or signed-seller rate, close rate, average gross commission, platform cost, referral or closing-related cost, and time to close. If the channel produces seller opportunities and buyer opportunities at different economics, split them. A blended CPL hides too much.

Google’s home-listing LSA rollout is a reforecasting reason, not a verdict

Google made the Q4 question harder by expanding enhanced home-listing Local Services Ads nationwide through HouseCanary on June 11, 2026 [3]. The format puts listing-style real estate inventory into a Google ad surface that already has consumer intent. If more inventory becomes available, it could compete more directly with portal discovery, especially in markets where agents already rely on Google for high-intent buyer and seller demand.

But the rollout evidence does not support panic. The cited realtor guide noted only three MLSs live at that point [4]. That is the difference between national availability as an ad product and deep local inventory as a buying alternative. Media buyers should treat the rollout as an option that may become more useful market by market, not as a complete replacement for Zillow in August.

Zillow’s management response also deserves the right amount of weight. On the Q2 call, Zillow said about 80% of traffic was direct, paid search was a single-digit share, and the company had seen no impact from Google so far [2]. That is relevant. It also is not final. “No impact so far” is easier to say when the competing inventory is early and uneven. The right buying response is not to assume Google wins; it is to build a Q4 test that can detect whether Google starts winning in your actual markets.

The closest parallel is the way earnings can become an ad-cost signal without becoming a trading note. In Alphabet’s Q2 earnings and Google Ads costs, the practical question was not whether Google was a better company after the print. It was whether buyers should expect the auction to get more expensive and adjust tests before the next planning cycle. Zillow deserves the same treatment here.

Where Meta fits in the comparison

Meta belongs in the model because many real estate teams still use it to create inexpensive lead volume, retarget site visitors, promote listings, or warm up seller audiences. It does not belong in this article as a generic tutorial, because the Q4 decision is not “run Facebook leads” versus “buy Zillow.” The decision is whether the incremental closed transaction is cheaper after sales labor, nurture time, and attribution are included.

A simple way to keep the comparison honest is to make Meta carry its own downstream burden. If Facebook lead forms produce many contacts but a low appointment rate, that cost sits in the Meta column. If retargeting assists Zillow or Google leads without clearly sourcing the relationship, do not pretend it is a standalone closed deal. If Meta is mainly keeping an agent or team visible during a long buyer journey, measure it against that job instead of forcing it into the same bucket as a high-intent Google search click.

This is also why macro explanations are not enough. Mortgage rates, housing supply, and consumer affordability can all change lead behavior, but they do not automatically lower acquisition costs for a given advertiser. The broader benchmark discussion in real estate and mortgage ad-cost benchmarks is useful here: cheaper demand conditions on paper do not guarantee cheaper closed deals in the account.

A Q4 test should separate old Zillow from new Zillow

The practical move before Q4 is to stop treating Zillow as one historical line item. If a brokerage has years of Premier Agent reporting, that history still has value, but it should be labeled by buying model. Legacy market-based pricing assumptions should not be allowed to set the forecast for a Preferred-heavy quarter.

The Q4 model can be simple, but it has to be explicit:

1. Pull the last two or three quarters of Zillow performance and tag each period by the share of spend or connections that behaved like legacy Premier Agent versus Preferred.
2. Calculate closed-transaction economics separately for each bucket, even if that produces smaller samples.
3. Run Google search and LSA tests in the markets where listing inventory and consumer demand are actually present, not merely where the product is technically available.
4. Keep Meta in the plan where it has a defined job: lead capture, retargeting, seller nurture, or assisted conversion support.
5. Reallocate only after comparing cost per closed, not after comparing screenshots of CPL.

The disciplined recommendation is to rebuild the model around cost-per-closed, separate legacy Premier Agent assumptions from Preferred assumptions, compare Zillow against Google search/LSA and Meta using current lead-to-close data, and retest allocations as Zillow’s targeted year-end Preferred mix and Google’s MLS inventory become more observable.

References

1. Zillow Group Reports Second Quarter 2026 Financial Results, Zillow Group Investor Relations
2. Zillow (ZG) Q2 2026 Earnings Call Transcript, The Motley Fool, Aug. 13, 2026
3. New real estate ads formats, Google
4. Google Home Listing Local Services Ads Nationwide 2026 Realtor Guide, Digital Applied
5. Is Zillow Premier Agent Worth the Cost?, The Close, June 2026
6. Real Estate Search Advertising Benchmarks, LocaliQ
7. Benchmarks: Real Estate, CUFinder