Speaker (Jim Johnson) describes having 12 years of aggregated data from thousands of local-service Google Ads accounts (plumbers, HVAC) and explains that this scale lets them build tools and statistical benchmarks. With large cross-market samples they can establish expected performance ranges and flag accounts that fall outside those bounds as underperforming regardless of market.
Now we had this additional data, which was amazing because Now I have 12 years of data of looking at thousands of plumbers accounts, thousands of H Vac accounts, and looking at, oh, what was working? I said, oh, this is perfect for us because now we can build tools around this. We can look at the stats and know beyond, like, my dozen accounts which I have, which I had that time, like, oh, just dozen accounts is not enough for me to collect data, but with thousands, I have statistical data, but that what it should be right where the numbers should fall. So then we can actually give a bound that if you're not within this range, doesn't matter which market, you're just not doing well.
