Zillow vs Redfin vs OfferEdge: how each estimates a home's value
Zillow's Zestimate and Redfin's Estimate answer "what's this home worth on average?" OfferEdge answers a different question: "what should I offer to win it without overpaying?" Here's exactly how each one gets to a number — and when to use which.
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Short answer
They're not the same tool
Zillow and Redfin publish automated valuation models (AVMs) — statistical estimates of what a home is worth on average. Their published median errors are roughly 2.1%–2.4% on-market and 6.4%–7.5% off-market. OfferEdge isn't an AVM: it produces a comp-backed target offer range with pricing certainty and negotiation terms — closer to what an agent's CMA does, only faster.
Head-to-head
Zillow vs Redfin vs OfferEdge, side by side
| Dimension | Zillow Zestimate | Redfin Estimate | OfferEdge |
|---|---|---|---|
| Question it answers | What's this home probably worth on average? | What's this home probably worth on average? | What should I offer to win this specific home? |
| Primary data source | Public records + user-submitted updates | Direct MLS feed (where available) + public records | Recent closed comps (180-day recency) + validated inputs |
| Method | Automated valuation model (AVM) trained on nationwide sales | Automated valuation model with MLS-first weighting | Deterministic comp engine + similarity weighting + LLM narrative |
| Published median error (on-market) | ~2.4% nationwide | ~2.1% nationwide | N/A — outputs a range with a Pricing Certainty score |
| Published median error (off-market) | ~7.5% | ~6.4% | N/A — same recency/quality rules regardless of on/off-market |
| Accounts for condition and updates | Only if a user submits an update | Only if reflected in the MLS listing | Validated inputs stage — buyer/agent confirms before pricing |
| Bidding-war logic | None | None | Explicit target range + escalation, terms, and win-probability |
| Refreshes | Daily | Daily | On demand per address, per report |
| Built for | Consumer browsing and lead capture | Consumer browsing and Redfin brokerage leads | Agents and buyers writing an actual offer |
Accuracy figures reflect the median error rates Zillow and Redfin publish on their public accuracy pages. Nationwide averages; per-market accuracy varies widely.
Under the hood
How each one actually gets to a number
How Zillow's Zestimate works
The Zestimate is an automated valuation model trained on public records, tax assessor data, prior sales, and user-submitted home facts. It updates daily. Zillow publishes a nationwide median error rate of roughly 2.4% for homes currently listed and about 7.5% for off-market homes.
Limitations: the model can't walk the property, doesn't see condition or unpermitted upgrades, and treats every home in a ZIP code as broadly comparable. On unique homes, recent renovations, or low-data areas, the miss can be large.
How the Redfin Estimate works
Redfin's Estimate is also an AVM, but with heavier weighting on direct MLS feeds where Redfin operates. Redfin publishes a nationwide median error rate of roughly 2.1% on-market and 6.4% off-market. In MLS-covered markets it's usually more current than public-record-only models.
Limitations: same as any AVM — it doesn't know condition, doesn't see the offers already on the table, and doesn't tell you where to price yours in this week's competition.
How OfferEdge builds a target offer
OfferEdge is not an AVM. It runs a deterministic comparable-sales engine tuned for writing offers, not browsing:
- 180-day recency priority — recent closes outrank older sales
- Similarity weighting on beds, baths, GLA, lot, and condition
- Validated Inputs stage — the buyer or agent confirms property facts before pricing
- Outputs a target offer range with a Pricing Certainty score, not a single average value
- Layers escalation, contingency, and appraisal-gap guidance on top of the price
- LLM narrative explains the number — the number itself comes from the deterministic engine
It's the same job an agent's CMA does — but structured to output a number you can defensibly put on a contract.
Same house, three questions
What each tool actually tells you
Illustrative example on a $510,000 listing with two other offers on the table.
Zestimate
$512,000
A single average value based on nationwide model behavior.
Limit: Doesn't know the kitchen was redone last year, or that three nearby homes just went pending over list.
Redfin Estimate
$505,000
A single average value weighted toward the local MLS feed.
Limit: Same averaging problem. Doesn't tell you where to price your offer in this week's competition.
OfferEdge
Target $521k · Range $514k–$528k · Pricing Certainty High
A comp-backed offer range with terms, escalation guidance, and a win-probability score.
Limit: Doesn't replace a lender's appraisal — but it's what an agent CMA would say, in minutes.
Decision matrix
When to use which tool
Zestimate or Redfin Estimate
- Browsing homes and want a 5-second ballpark
- Comparing two neighborhoods at a glance
- Checking whether a listing price is roughly in the range
A CMA (agent or OfferEdge)
- You're about to write an actual offer
- The home is unique, updated, or in a low-data area
- You expect competition and need a defensible number
- You need to justify a below-list offer with real evidence
Never write an offer off a Zestimate alone. Even at Zillow's stated on-market accuracy, half of homes miss by more than 2.4% — that's $12,000+ on a $500,000 home. The averaging that makes AVMs useful for browsing is exactly what makes them dangerous for pricing an offer.
FAQ
Frequently asked questions
Keep reading
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