In this extract from the article “15+ of The Top Sales & Marketing Mistakes SaaS Startups Make,” Jason Lemkin highlights major mistakes in marketing that may inhibit SaaS success.
By and large, the most frequent applications of machine learning in SaaS today are efficiency applications – automating the high-volume rote processes and reducing costs.
There are hundreds of different metrics that product managers could potentially measure. But all successful teams have a core set of metrics that matter most to them and the nature of their business.
When people believe they are judged or compensated by a singular metric, they try to maximize their performance against that metric — even at the expense of other factors that are critical for holistic success.
Starting in 2017, revenue recognition for SaaS companies will change, and SaaS startups will have more flexibility in the way they record revenue than in the past.
As cloud applications are gaining increased acceptance in the legal world, law firms and organizations need to develop intelligent policies to mitigate risks to protect client and firm data
Private cloud offerings including SaaS are growing in our industry largely due to the expense in maintaining hardware and security protocols for client data that law firms have traditionally managed.
As litigation increases, and e-discovery technology improves and becomes more integrated into the legal world, the e-discovery market will continue to grow exponentially.