Data is a valuable business asset. It can be used to analyse performance, monitor customer satisfaction, make design decisions and more. When strong patterns emerge, it tells a story, so why not use those stories to predict the future? That’s what Campbell Brown, co-founder of PredictHQ asked back in 2016, not long before he met Tidal’s Grant McCarthy.

Both Grant and Campbell were at similar stages as company founders when they met, and the way Campbell tells it, it was a match made more from design than fate. Grant immediately saw PredictHQs enormous potential and set about cultivating a relationship, while Campbell related strongly with Grant’s product and market know-how, and was on the hunt for an Australian investor. “Grant's a product guy, I'm a product guy. We're always talking about it.” 

PredictHQ was also aiming at a US market, from an Auckland base. Campbell explains how they were attracted to Tidal because they were Australian, but with global experience. “They had already taken a business from Australia to the US. That's why I went with them.” Tidal had the specific expertise needed. 

A strong business starts with a strong product

Events impact demand. Founded with this insight in mind, PredictHQ makes businesses smarter by helping them anticipate how external conditions will influence sales, profits, product demand, etc. Their customers access comprehensive datasets related to conditions like major sports events, severe weather, scheduled holidays, etc., so they can capitalise on their understanding of demand, plan labour and resourcing, adjust pricing, and adapt for better efficiency. It is a winning idea and rapidly gaining traction in the US and Europe markets that are digital-first and ready to optimise. Uber was one of their first big enterprise customers.

But even with the solid product, Campbell realised early that they “needed to start going from just building a product to building a business.” That meant having a strong and clear sales pipeline and tangible financial goals. So the PredictHQ team, Grant, and another independent investor, got in front of the whiteboard and spent time working out a plan.

Campbell remembers discussing questions like “what do we expect to get from our customers? What if we only get 10% of these customers? Working backwards from a $1million target, what do we need and how are we going to do it?” He goes on to say “that meeting in particular was a very critical leap. Because a million dollars seems really achievable, but actually when you step back from it, without salespeople, your pipeline is actually pretty small. And if conversion is low, you have to increase the pipeline.” 

So in the end, Campbell said, they “sat there for a couple of days and worked through a plan and it came true. I look back on those times fondly because Tidal gave up their time and energy to help us get to our first goal. Which ultimately led to us to raise a Series A and then Series B and here we are.”

Connecting to the right knowledge and people

Even though they are in the business of insights, Campbell says they sometimes need a bit of help themselves in that area and Tidal’s analyst Max Kausman provided it. Max has a successful track record in corporate advisory roles and shared his experience and knowledge with Campbell to help with customer acquisition strategy. The information enabled Campbell to formulate an enterprise pitch that integrated familiar corporate language. “It helped the customer have a lightbulb moment about us. They could relate.” This same strategy was effective in moving a number of big deals forward.

At the other end of the sales pipeline is product creation, which is equally important to PredictHQ business success. Luckily, finding a great fit for senior product roles is something Tidal’s Wendell Keuneman is great at, and he did not disappoint when PredictHQ started looking for a VP of engineering. “It was a critical hire,” Campbell noted and Wendell, Tidal’s product-led growth expert, “met with the candidate before we hired him and then helped us to understand how we wanted to structure the team.” Anticipating rapid expansion of the business, they needed more than just a new senior hire, they needed to to get the team mix right in order to handle scaling. “We ended up splitting development and data teams. Which will ultimately let us scale faster.”