Mike Cotoia
Analyst · Stonegate. Please go ahead
Right. Marco, the way we define and how we've defined our revenue by our customer buckets are onto the Global 10, and those are the largest, I would call, legacy hardware and software global accounts. Then we identify the next 100, and then we have a bucket that we call all others. What's caused a little bit confusion when we talked with the analysts back in February, and I think we may have mentioned it back in November as well, 2019 was there's only one consistent cohort of accounts, and that is the Global 10. So you actually have accounts that may fall into that next 100 in one quarter. And then when we're reporting on that a year later in the following quarter, they may fall. So for example, if you got a customer in Q1 that spent $200,000 in the quarter, and they fell into that next 100 and then Q1 of 2020, they only spent $100,000, they would fall into that all other bucket possibly. I'm just giving you an example. So they would drop down. But in the flip side, in Q1 of 2019, if there was a customer that only spent $25,000 and was classified into that all other bucket and then increase their spend, which we've seen many times, by $125,000 and fell into $150,000, they would have got leveled up in that second bucket. So at the end of the day, that next 100 account would have showed a decrease of $50,000 because the $200,000 account was replaced by $150,000 account. And then the all others would have shown an increase of $75,000 because the $25,000 account was replaced by $100,000 account. And the net effect is a $25,000 gain. So I go through all that. It's pretty confusing when you start talking about the story, how they can flip-flop back and forth. So we break it down into – moving forward, we're going to make it a lot clearer and analysts and both investors have asked us for this, to break it down into our Global 10 and every other account. So I want to give you a little bit of clarity on that, a little bit of background on that. In terms of where we see – you mentioned some of the risk. The first thing I would say is we have done such a great job as an organization on not only the sales side, but on the product development side and the marketing side and the execution side of building a suite of products and solutions that – we are well-known for industry enterprise solutions that are reaching additional customers. They can go a little bit down scale and little bit further down into that SMB market. So we've – we haven't eliminated risk, but we've absolutely reduced the risk that we used to have when our top 10 customers made up 40% of our revenue. And so that is a good thing that we've done, again, across the board, and I mean that's in North America, as well as international. I think when you go through periods like this, and I brought it up a little bit earlier on the call, you have very, very small customers. They need to preserve cash and they need to preserve capital, and they need to navigate through this. They're trying to make payroll. They are applying for PPP loans. They're doing a lot of different things right now to navigate through this time. So they don't want to, a, spend on discretionary spending in the short term; or b, commit to long-term data deals even for the long term. So I think there's a little bit of cautiousness on that end. And then I would also say on some of those global accounts, there's a little bit of cautiousness on the brand component. Again, when I mentioned brand, those are banner advertisements that might come on our sites, where if the market is doing really well, they can turn that on at a drop of the hat and throw extra money toward their brand. They have good brands, they have well-known brands, and they might want to scale that up. But when you incur a pullback like this, they will lessen that in North America. And so that's where I see it. But when you take a look at the market as a whole, the one constant thing that we have seen over the last couple of years, and again, we are still in the very early innings of this, our customers need to and want to transition to a data-driven sales and marketing organization, and the number one type of data they want is real and observed purchase intent data at the account and at the prospect level. So that's really what we've helped alleviate some of that risk and see long-term growth.