{
    "_source": {
        "name": "Tyler Willis Intelligence",
        "url": "https://tylerewillis.com/intelligence/benchmarks/marketing-agency-mid-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. \"Marketing Agencies · Mid (21-100).\" tylerewillis.com/intelligence. Accessed 2026-06-12. https://tylerewillis.com/intelligence/benchmarks/marketing-agency-mid-us",
        "docs": "https://tylerewillis.com/intelligence/api"
    },
    "slug": "marketing-agency-mid-us",
    "segment_name": "Marketing Agencies · Mid (21-100)",
    "industry": "Marketing Agency",
    "company_size_segment": "mid",
    "employee_count_range": "21-100",
    "revenue_range": null,
    "geographic_market": "US",
    "business_model": null,
    "maturity_stage": "established",
    "automation_maturity": "advanced",
    "pct_using_any_automation": "76.00",
    "pct_using_ai_tools": "34.00",
    "pct_using_workflow_automation": null,
    "pct_using_ai_for_content": null,
    "pct_using_ai_for_reporting": null,
    "pct_using_ai_for_outreach": null,
    "pct_using_ai_for_client_service": null,
    "pct_planning_automation_investment": null,
    "automation_budget_range": null,
    "top_automation_tools_used": [
        "Walls.io",
        "HubSpot",
        "Marketo",
        "SAP Engagement Cloud"
    ],
    "avg_tools_in_stack": null,
    "avg_hours_per_week_manual_tasks": null,
    "pct_time_on_automatable_tasks": null,
    "hours_saved_per_week_from_automation": "6.10",
    "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": "5.44",
    "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": "CRM integration depth and lead scoring maturity",
    "top_pain_points": [
        "Manual repetitive tasks",
        "Tighter margins",
        "Demand for always-on reporting",
        "Brand-voice drift in AI outputs"
    ],
    "top_growth_levers": [
        "Deep CRM integration",
        "Agentic AI adoption",
        "Advanced orchestration and personalization",
        "Automation as an operating layer"
    ],
    "benchmark_index_score": "75.00",
    "automation_opportunity_gap": "40.00",
    "predicted_growth_rate": null,
    "ai_insights_summary": "Top performers in mid-sized marketing agencies leverage deep CRM integration and agentic AI workflows to achieve automation ROI exceeding 5x. They focus on treating automation as an operating layer rather than a campaign tool, enabling significant time savings (6+ hours weekly) and revenue uplifts (~34%). Agencies lagging behind often struggle with integration quality and unclear success criteria for AI deployments.",
    "data_collection_date": "2026-05-24",
    "data_collection_method": "Secondary research from industry reports and surveys",
    "source_url": null,
    "source_credibility": "secondary",
    "sample_size": null,
    "geographic_scope": "US",
    "statistical_confidence": "0.70",
    "outlier_flag": 0,
    "created_at": "2026-05-24 06:45:02",
    "updated_at": "2026-06-11 05:31:07",
    "uuid": "e9c2639c-589f-11f1-b032-525400d81b6e"
}