Tasso Argyros, co-founder of Aster Data, answers an audience question at Data Driven NYC regarding whether early sales struggles indicate lack of product-market fit or poor sales hires.
“Even with the best VP of sales, if you don't have product market fit, you won't be able to be successful. And that's why you first have to find this and then invest in finding that amazing sales guy that you think can take your product to tens or hundreds of millions of dollars.”
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More from Tasso Argyros
AssertionNot checkable as stated
Argyros: Early CDPs failed mainly due to poor data stack integration
“CDPs failed in the previous incarnation for a few different reasons. The main one is that they didn't integrate into the data stack very well.”
Argyros: Cookie deprecation is rendering Data Management Platforms (DMPs) obsolete
“With cookies going away, there's a whole range of advertising technology that is done, right? It's like, it's not good anymore. If you take the DMPs as an example, DMPs, data management platforms was what enterprise would use to manage cookies, right? And driv…”
Argyros: Customer Data Platforms are absorbing end-to-end ad tech functions
“Now they've all come together, and the CDPs that declare a winner, that's taking over those functions. So now we can have an end-to-end journey, manage the end-to-end journey, from when the first time an anonymous customer visits a website, all the way to when…”
Founders must quickly replace misaligned early advisors, investors, and employees
“You know, in, back then we didn't think about it, but in retrospect, that first asset of everything is so critical, so that if it's not aligned with your vision, it's not aligned with the company's vision where you want to go, you really need to make a change …”
Tasso ArgyrosMar 3, 2014▶ 7:04Tasso Argyros, Aster Data // Data Driven NYC 24 // February 2014 (Hosted by FirstMark Capital)
Insight
Argyros: Most enterprise data that genuinely matters is customer data
“Most of the data that matters is really customer data.”
Argyros: Most enterprises handle CX data operations using analyst teams writing SQL
“The way this problem is solved in most enterprises is that you deploy armies of analysts, and they get tickets and requests, and they write SQL, right?”
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