{
    "_source": {
        "name": "Tyler Willis Intelligence",
        "url": "https://tylerewillis.com/intelligence/benchmarks/real-estate-small-us",
        "author": "Tyler Willis",
        "publisher": "tylerewillis.com",
        "license": "CC-BY-4.0",
        "license_url": "https://creativecommons.org/licenses/by/4.0/",
        "attribution_required": "Include source URL or citation string when redistributing, quoting, or embedding in AI responses.",
        "citation": "Tyler Willis. \"Real Estate Agencies · Small (21-100) · US.\" tylerewillis.com/intelligence. Accessed 2026-06-12. https://tylerewillis.com/intelligence/benchmarks/real-estate-small-us",
        "docs": "https://tylerewillis.com/intelligence/api"
    },
    "slug": "real-estate-small-us",
    "segment_name": "Real Estate Agencies · Small (21-100) · US",
    "industry": "Real Estate",
    "company_size_segment": "small",
    "employee_count_range": "21-100",
    "revenue_range": null,
    "geographic_market": "US",
    "business_model": null,
    "maturity_stage": null,
    "automation_maturity": "intermediate",
    "pct_using_any_automation": "41.00",
    "pct_using_ai_tools": "41.00",
    "pct_using_workflow_automation": null,
    "pct_using_ai_for_content": null,
    "pct_using_ai_for_reporting": null,
    "pct_using_ai_for_outreach": "41.00",
    "pct_using_ai_for_client_service": null,
    "pct_planning_automation_investment": null,
    "automation_budget_range": null,
    "top_automation_tools_used": [
        "Follow Up Boss",
        "kvCORE",
        "BoomTown",
        "Lofty"
    ],
    "avg_tools_in_stack": null,
    "avg_hours_per_week_manual_tasks": null,
    "pct_time_on_automatable_tasks": null,
    "hours_saved_per_week_from_automation": "10.00",
    "tasks_automated_count": null,
    "reporting_time_hours_per_week": null,
    "onboarding_time_hours": null,
    "client_communication_hours_per_week": null,
    "avg_revenue_per_employee": null,
    "avg_client_count": null,
    "avg_client_ltv": null,
    "avg_monthly_retainer": null,
    "avg_profit_margin_pct": null,
    "automation_roi_reported": "15.00",
    "churn_rate_monthly": null,
    "cac": null,
    "avg_client_acquisition_channels": null,
    "pct_referral_driven": null,
    "avg_proposal_conversion_rate": null,
    "avg_sales_cycle_days": null,
    "primary_bottleneck": "inconsistent lead-response time",
    "top_pain_points": [
        "inconsistent lead-response time",
        "weak past-client touchpoints",
        "lack of system-of-record for cross-tool data"
    ],
    "top_growth_levers": [
        "AI-driven automation of lead routing and follow-up",
        "workflow automation for document generation and task reminders",
        "integration of CRM and analytics platforms"
    ],
    "benchmark_index_score": "65.00",
    "automation_opportunity_gap": "50.00",
    "predicted_growth_rate": null,
    "ai_insights_summary": "Top performers in small US real estate agencies leverage AI-driven automation to reduce lead-response times and automate repetitive tasks, achieving 15-20% ROI and up to 40% operational cost savings. They integrate modern CRMs with AI tools for lead follow-up and document processing, enabling significant time savings and revenue growth per hour freed. However, many firms are still in pilot phases, with a large gap between AI adoption and achieving full program goals.",
    "data_collection_date": "2026-05-31",
    "data_collection_method": "secondary research from industry reports, trade associations, and verified agency data",
    "source_url": null,
    "source_credibility": "secondary",
    "sample_size": null,
    "geographic_scope": "US",
    "statistical_confidence": "0.70",
    "outlier_flag": 0,
    "created_at": "2026-05-31 03:30:11",
    "updated_at": "2026-06-11 05:31:05",
    "uuid": "7ee87d66-5cd7-11f1-8d34-525400d81b6e"
}