SaaStr
AUGUST 25, 2023
Dear SaaStr: As An Employee, As an acquired employee, How Do I Negotiate My Compensation in an Acquisition? Non-critical product managers, customer support and success, etc. Because it’s seen as their money, as “extra” compensation on top of the deal price. Especially below the VP level.
SaaStr
MAY 19, 2022
Supporting your customers is a crucial component of building a great product. You iterate and develop your products according to your customers’ needs, which first requires you to listen to them. With great product and customer support teams in place, you are ready to do this. Focus on B2B and B2C.
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SaaStr
OCTOBER 27, 2022
Non-critical product managers, customer support and success, etc. Because it’s seen as their money, as “extra” compensation on top of the deal price. As long as the acquirer gets their 80-90%, that’s all they’ll care about. Not you individually. Don’t care if they stay. Don’t even want.
SaaStr
JUNE 12, 2022
But I knew this was the wrong way to build a customer-centric company. There was another one I hated on the Customer/Client Success side. And that was customer success managers who were really just farmers — compensated 100% or close to it for Upsells, not Retention. These guys — I don’t know.
SaaStr
JULY 5, 2023
Model 1: Align The Funnel — One Clear Owner Reduces Waste and Friction As CRO at Divvy, Snow was responsible for marketing, sales, implementation, customer success, customer support, and revenue operations. Sales were compensated based on new logos and what they’d do during the first 90 days of implementation.
SaaStr
JANUARY 25, 2023
The head of revenue has the responsibility for the entire funnel: marketing, sales, implementation, customer success, customer support, and revenue operations. This person oversees the operations of all the teams under this umbrella and ensures they are all heading in one direction.
Tom Tunguz
JUNE 19, 2017
In software, we’ve moved from a world where a customer buys a piece of software to run on their own infrastructure, to a world where a customer pays a vendor to run software on the vendor’s infrastructure. Machine learning startups create models based on data provided by customers.
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