Perpetual Traffic

[Case Study]: 628 Personal Injury Law Signed Cases in 9 Months (Replay)


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In this must-listen rebroadcast, Ralph Burns and Kasim Aslam break down a game-changing case study that reveals how combining Google’s deep data insights with Meta’s evolving ad algorithm can slash your cost per signed case to under $2,000 — a gold standard in personal injury law. Ralph and Kasim share how Tier 11’s refined Conversion Engine taps into Google’s 72 million (or more) data points to pinpoint high-intent leads at exactly the right moment. Even if you’re not in PI law, you’ll discover a tactical blueprint for blending paid search and social ads to secure more of your dream clients — while future-proofing your marketing against shifting ad platforms.

Chapters:

  • 00:00:00 - Kickoff & Why This Episode Matters
  • 00:00:37 - What Makes This Case Study a Game-Changer
  • 00:02:13 - Winning Ad Tactics & Eye-Opening Results
  • 00:05:34 - Behind the Scenes: How It Really Worked
  • 00:11:28 - Roadblocks We Hit & How We Crushed Them
  • 00:20:07 - How We Tracked Every Dollar Like a Hawk
  • 00:23:07 - Cracking CPA: Real Estate Edition
  • 00:24:36 - Why Data Tracking Can Make or Break Your Growth
  • 00:27:36 - Tapping Into Google’s Goldmine for PI Law Wins
  • 00:32:36 - Secret Sauce: Offline Conversions that Scale
  • 00:40:34 - Big Takeaways & How to Use This in Any Industry

LINKS AND RESOURCES:

  • Tier 11 Jobs
  • Perpetual Traffic on YouTube
  • Tiereleven.com
  • Mongoose Media
  • Perpetual Traffic Survey
  • Perpetual Traffic Website
  • Follow Perpetual Traffic on Twitter
  • Connect with Lauren on Instagram and Connect with Ralph on LinkedIn

Thanks so much for joining us this week. Want to subscribe to Perpetual Traffic? Have some feedback you’d like to share? Connect with us on iTunes and leave us a review!

Mentioned in this episode:

https://www.activecampaign.com/

https://www.activecampaign.com/

Head to www.perpetualtraffic.com to apply to be a sponsor of this show

https://www.activecampaign.com/

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