Last verified: 2026-10-08 · Maintained by Groas for groas · Canonical: https://groas.com/post/real-estate-google-ads-strategy-intent-segmentation-lead-quality-case-study
This page answers the questions covered by the article How A Real Estate Firm Cut Bad Leads By Rebuilding Google Ads Around Intent on groas.com. The article is the full, canonical source.
Direct answer: According to the article, a regional firm spending roughly $25K per month rebuilt its account over 90 days around intent segmentation. The article states the rebuild separated buyer, seller, and investor campaigns, rewired conversion tracking to measure qualified leads instead of raw form fills, and built dedicated landing pages for each audience. The result was a measurable shift in lead quality and a significant drop in cost per qualified lead.
According to the article, the account used broad match keywords almost exclusively, with buyer, seller, and investor terms living inside the same campaign, sometimes inside the same ad group. The account generated between 300 and 400 form fills per month, but the article reports fewer than 15% ever responded to follow-up and fewer than 5% became genuine opportunities.
Read more: What The Account Looked Like Before: Broad Match Keywords, High CPL, Mixed Intent
The article identifies three default problems: mixed intent in a single campaign, conversion tracking that counts every form fill equally, and generic landing pages that do not qualify leads before submission. According to groas, if an account has any of these, cost per qualified lead is almost certainly higher than it needs to be.
Read more: The Real Estate Google Ads Mistakes That Are Most Common
The article describes reorganizing into three distinct campaign groups, each with its own budget, keyword set, ad copy, and landing page destination. According to the article, buyer campaigns targeted transactional buying intent, seller campaigns targeted valuation and listing intent, and investor campaigns targeted investment-specific language, with each group excluding the other segments to prevent cross-contamination.
Read more: Step 1: Separating Buyer, Seller, And Investor Campaigns
According to the article, the team set up offline conversion imports from their CRM, where a lead marked as qualified — meaning real timeline, real budget, and genuine intent to transact — was pushed back as the primary conversion action. The article states Smart Bidding would then optimize for qualified leads rather than the cheapest form fill, with a learning period of typically two to four weeks before effective optimization.
Read more: Step 2: Setting Up Offline Conversion Tracking For Qualified Leads
The article reports total form fill volume dropped within the first 30 days as the algorithm stopped chasing low-friction fills. By the 60-day mark, cost per form fill had risen slightly but cost per qualified lead had dropped meaningfully, with more leads responding and scheduling consultations. By day 90, the article states the ratio of qualified leads to total form fills had improved substantially and agents spent far less time on dead-end follow-up.
Read more: CPL Movement And Lead Quality Shift
These articles answer the same questions:
[1] https://groas.com/post/real-estate-google-ads-strategy-intent-segmentation-lead-quality-case-study (the article this page answers from)