{
  "name": "Provena Published Client Results",
  "description": "Individual outcomes drawn from public Provena case studies. This observational set is not a benchmark, forecast or guarantee.",
  "dateModified": "2026-08-24",
  "methodologyUrl": "https://www.provena-ai.com/research/client-results",
  "records": [
    {
      "company": "VettX",
      "market": "Automotive · Vehicle Acquisition",
      "metric": "32",
      "metric_label": "qualified leads in 15 days",
      "reported_period": "15 day reported campaign window",
      "outcome_definition": "The public record calls the 32 outcomes qualified leads. It does not publish a universal qualification rubric or downstream revenue for this engagement.",
      "target_audience": "Dealership decision makers responsible for used vehicle acquisition",
      "channels": [
        "Targeted outbound",
        "Reply qualification and handoff"
      ],
      "limitations": [
        "This was an observational client engagement with no control group, so the record does not establish what would have happened without the campaign.",
        "The public download does not include raw replies, CRM records, a contacted account denominator or later stage revenue."
      ],
      "date_modified": "2026-08-24",
      "source_url": "https://www.provena-ai.com/case-studies/vettx"
    },
    {
      "company": "SellMyRide",
      "market": "Automotive · Marketplace",
      "metric": "38",
      "metric_label": "booked meetings in 44 days",
      "reported_period": "First 44 days",
      "outcome_definition": "The reported outcome is 38 booked dealer meetings. The public record does not publish a universal meeting qualification rubric or an attendance rate.",
      "target_audience": "Dealer principals and used car acquisition managers",
      "channels": [
        "Cold email",
        "LinkedIn outreach",
        "Reply qualification and booking"
      ],
      "limitations": [
        "The reported 1.4 million dollars is attributed pipeline, not independently audited revenue, and pipeline should not be read as cash collected.",
        "The public download does not expose campaign level messages, account denominators, reply logs or a control group."
      ],
      "date_modified": "2026-08-24",
      "source_url": "https://www.provena-ai.com/case-studies/sellmyride"
    },
    {
      "company": "Hot Rocks",
      "market": "Investment",
      "metric": "18",
      "metric_label": "investor meetings booked",
      "reported_period": "Not published in the source record",
      "outcome_definition": "The reported outcome is 18 investor meetings booked. The public record does not state the response denominator, attendance rate or a separate qualification rubric.",
      "target_audience": "Qualified investors and decision makers",
      "channels": [
        "Targeted investor outreach",
        "Conversion focused website"
      ],
      "limitations": [
        "Because the observation window is not public, this result cannot support a pace or meetings per month comparison.",
        "The public record does not include raw outreach logs, a control group, pipeline value or closed revenue from those meetings."
      ],
      "date_modified": "2026-08-24",
      "source_url": "https://www.provena-ai.com/case-studies/hot-rocks"
    },
    {
      "company": "Optimo Capital",
      "market": "Capital",
      "metric": "$67.5K",
      "metric_label": "new revenue in 12 days",
      "reported_period": "12 days after launch",
      "outcome_definition": "The reported outcome is 67,500 dollars in new contracted revenue. The public record does not publish the revenue recognition schedule, margin or later retention.",
      "target_audience": "Buyers selected for the new partnership; individual roles are not published",
      "channels": [
        "End to end outbound",
        "Targeted outcome led messaging"
      ],
      "limitations": [
        "This individual commercial outcome is not a forecast for another offer, market or sales cycle.",
        "The public record does not include the opportunity denominator, raw contract, control group or later collection status."
      ],
      "date_modified": "2026-08-24",
      "source_url": "https://www.provena-ai.com/case-studies/optimo-capital"
    },
    {
      "company": "AI Automotive Summit",
      "market": "Events",
      "metric": "25",
      "metric_label": "booked calls · $50K new revenue",
      "reported_period": "By day 30",
      "outcome_definition": "The public record reports 25 booked calls and 50,000 dollars in new revenue. The stated 10,000 to 40,000 dollar deal range is context and is not a reconstruction of the revenue total.",
      "target_audience": "Automotive technology vendors and dealer groups",
      "channels": [
        "Targeted outbound",
        "Fit and budget qualification",
        "Call booking"
      ],
      "limitations": [
        "The result combines call and revenue outcomes from one event campaign and should not be treated as a general event benchmark.",
        "The public record does not include the contacted account denominator, attendance rate, raw contracts or a control group."
      ],
      "date_modified": "2026-08-24",
      "source_url": "https://www.provena-ai.com/case-studies/ai-automotive-summit"
    },
    {
      "company": "Ribit",
      "market": "Automotive",
      "metric": "24",
      "metric_label": "leads in 30 days",
      "reported_period": "First 30 days",
      "outcome_definition": "The narrative reports 24 to 25 qualified leads. The machine readable dataset uses 24 as the conservative exact headline value and does not infer the upper bound.",
      "target_audience": "Automotive buyers",
      "channels": [
        "End to end outbound",
        "Role based targeting",
        "Reply qualification"
      ],
      "limitations": [
        "The public record does not publish the qualification rubric, contacted account denominator or later sales conversion.",
        "The engagement had no published control group, so it cannot establish a counterfactual or universal weekly run rate."
      ],
      "date_modified": "2026-08-24",
      "source_url": "https://www.provena-ai.com/case-studies/ribit"
    }
  ]
}