What makes real estate lead generation software different from a generic CRM?
Three things specifically. First, source attribution: a real estate lead-gen tool has to understand that Zillow, Realtor.com, Facebook, Google LSA, IDX, open house, and SOI are structurally different lead types with different intent, different cadences, and different unit economics. A generic CRM treats them as a tag. Second, speed-to-lead workflow: residential real estate leads convert on a 5-minute response window, which requires active-rep routing, SMS escalation at 90 seconds, voice at 3 minutes, backup rep at 5 minutes. Generic CRMs ship basic alerts and expect the manager to build the escalation. Third, cost-per-closed reporting that joins ad spend, lead attribution, nurture cost, and closed GCI, which is a four-table report that generic CRMs do not ship pre-built.
Can Strkr replace BoomTown, kvCORE, or Chime?
Depends on whether the team is willing to run an IDX website on a separate platform. BoomTown, kvCORE, and Chime are bundles that include the IDX consumer site plus the CRM plus lead-gen services. Strkr does not ship an IDX site, so the brokerage keeps Sierra Interactive, Real Geeks, kvCORE (as site-only), or another IDX platform for the consumer site and uses Strkr as the CRM and lead-gen engine. The common pattern is that the brokerage was paying BoomTown or kvCORE 1,200 to 2,500 a month for the bundle and ends up paying Strkr plus an IDX provider for roughly the same cost with a stronger lead-gen workflow and better reporting.
How does Zillow Flex integration work specifically?
Zillow Flex leads flow via the official Zillow API with the Connection payload (the live-transfer handoff) processed. The 30-second connect window is flagged on the lead record, which drives the active-rep routing to prioritize the Flex lead over other inbound. The Flex performance dashboard tracks contact rate, close rate, response time, client satisfaction surveys, and the aggregate score that Zillow uses to adjust lead allocation. Teams that run Strkr see their Flex metrics in real time instead of waiting for the monthly Zillow dashboard update, which gives the broker a chance to course-correct before Zillow throttles lead flow.
What is the honest cost comparison across Zillow, Realtor.com, Facebook, and Google LSA?
From our audits across 180 brokerages in 2024-2025: Zillow Premier Agent averages 120 to 180 dollars per lead with a 1 to 3 percent close rate (cost-per-closed around 4,000 to 12,000). Realtor.com Opcity averages a 30 to 35 percent referral fee on close (effective cost-per-closed around 25 to 30 percent of GCI). Facebook Lead Ads average 4 to 12 dollars per lead with a 0.3 to 1.2 percent close rate (cost-per-closed around 400 to 2,500 if nurture is well-run). Google Local Services Ads average 50 to 90 dollars per lead with a 2 to 4 percent close rate (cost-per-closed around 1,500 to 4,500). The exact numbers vary by market, agent skill, and nurture execution, which is why native cost-per-closed reporting matters more than category benchmarks.
How does Strkr Messaging work for the SMS speed-to-lead piece?
Strkr Messaging is built-in SMS and MMS at carrier-grade (37 percent cheaper than Twilio equivalent) with 10DLC and TCR brand registration handled. The 90-second SMS fire runs through Strkr Messaging automatically on the lead record with the brokerage phone number as the sender. The reply lands on the Strkr record, so the rep sees the thread when they jump in. The outbound send is tracked for TCPA compliance including the written consent audit trail (checkbox on the lead form, timestamp, IP), which matters because real estate SMS is subject to the same rules as any outbound text program.
What about compliance? TCPA, Do Not Call, Fair Housing on the automated nurture.
TCPA consent is captured on the lead form (consent checkbox with specific language), timestamped, IP-logged, and stored with the lead record. Strkr Messaging enforces the opt-in before any SMS fires. Do Not Call registry is checked on intake for phone-based outbound. Fair Housing: Strkr AI nurture drafts are reviewed by a prompt policy that excludes protected-class language (familial status, race, religion, national origin, disability, sex), with the policy published on request for brokerages running compliance audits. The brokerage still owns the compliance posture, but the system defaults are built to make the easy path the compliant path.