Pricing an Anti-Lean Startup Depends on the Details
Posted: Sat Jan 18, 2025 6:51 am
We’re a very data-driven company,” Coulombe says. “And we do really research into pricing.” The team conducted in-depth research into buyer personas and use cases …
They also used one-on-one surveys and roundtable discussions to gather customer input, which was then taken into account when developing the pricing structure.
Audience
" It took us a while to create a pretty specific profile of our clientele," Coulombe says. "We had a clear vision of who they were, and knew details like their job title, company size, location, weaknesses, and how gambling data philippine user data to get them not only interested in the product but willing to pay for the Professional (mid-tier) version."
To build a beta group of customers, x.ai got both live, direct exposure and formal exposure through a referral program. “Many of our participants were CEOs of small startups who used Amy and Andrew to set up meetings with people in similar positions at other companies,” Coulombe explains. “It was an effective way to get our product in front of a wider range of relevant people. We created a rewards program for professional customers who referred us to their peers.”
The company also benefited from strong advertising, but the bulk of the beta's growth was driven by a product-focused approach that focused on creating scheduling "nirvana" — meetings hosted by Amy herself — for customers. "The growth was really driven by our active customer base encouraging other people to use our services," Coulombe adds.
Eventually, the x.ai team also embraced a business-to-consumer, consumer-to-business approach. “Our product is one of those that is easily translated, if someone starts using the Professional version, and then another part of the team starts using it and buys it,” Coulombe says. “Once one team uses it, then other departments and partners in the company learn about it, and before you know it, all the big businesses are on board.”
They also used one-on-one surveys and roundtable discussions to gather customer input, which was then taken into account when developing the pricing structure.
Audience
" It took us a while to create a pretty specific profile of our clientele," Coulombe says. "We had a clear vision of who they were, and knew details like their job title, company size, location, weaknesses, and how gambling data philippine user data to get them not only interested in the product but willing to pay for the Professional (mid-tier) version."
To build a beta group of customers, x.ai got both live, direct exposure and formal exposure through a referral program. “Many of our participants were CEOs of small startups who used Amy and Andrew to set up meetings with people in similar positions at other companies,” Coulombe explains. “It was an effective way to get our product in front of a wider range of relevant people. We created a rewards program for professional customers who referred us to their peers.”
The company also benefited from strong advertising, but the bulk of the beta's growth was driven by a product-focused approach that focused on creating scheduling "nirvana" — meetings hosted by Amy herself — for customers. "The growth was really driven by our active customer base encouraging other people to use our services," Coulombe adds.
Eventually, the x.ai team also embraced a business-to-consumer, consumer-to-business approach. “Our product is one of those that is easily translated, if someone starts using the Professional version, and then another part of the team starts using it and buys it,” Coulombe says. “Once one team uses it, then other departments and partners in the company learn about it, and before you know it, all the big businesses are on board.”