Baremetrics

JANUARY 25, 2022

As such, FinOps best practice involves continuously evaluating the metrics you’re tracking and ensuring they reflect your business objectives and the latest developments in cloud service. Examples of cost management software include in-platform cost optimization modules like GCP Billing and AWS Cost Explorer.

Payment Services 97

Payment Services SaaS Payments Payment Solutions Payments 97

Sales Hacker

DECEMBER 3, 2019

Boy, is this relevant when you’re interpreting data, says DePodesta, who warns against assuming historical metrics are meaningful. For example, instead of agonizing over how to interpret vanity metrics like visitors and bounce rates, graduate to more consequential transactions like lead form submissions and conversion ratios.

Sales Enablement 84

Sales Enablement Artificial Intelligence Branding Sales Hiring 84

OpenView Labs

JANUARY 3, 2020

Causal modeling and prediction systems are improving rapidly, driven by machine learning and related technologies. This is already the norm for infrastructure software products and tools like Atlassian, GitHub, GitLab, AWS and so on. The other direction will be performance-based, or outcome-based, pricing.

Pricing 54

Pricing Scale Underperforming Technical Team B2B 54

OpenView Labs

AUGUST 8, 2019

Honestly, I’m a machine learning enthusiast in my spare time, and I have no inkling of what models, etc. Typically, I use a data visualization tool to build out tables of my product qualified leads using all of the metrics I’ve identified that makes them so special. “Lead scoring” is not the answer to your problems.

Scale 40

Scale AI Search AWS Acquisition 40

Intercom, Inc.

JANUARY 24, 2019

Machine learning can get the right message or recommendation out in a responsive way – not just from the customer’s next best action, but from the sales perspective, too. But I think that Salesforce helped to establish the business optics – if not the metrics and KPIs – that are needed to actually effectively run a business.

Scale 151

Scale Machine Learning Artificial Intelligence AI 151

Intercom, Inc.

FEBRUARY 27, 2020

We sat down for a chat with our own Fergal Reid, Principal Machine Learning Engineer, to learn why Answer Bot had to evolve past simply answering questions to focus on solving problems at scale. Fergal Reid: I lead the Machine Learning team at Intercom. Ultimately we developed what we called a “resolution metric.”

Machine Learning 23

Machine Learning Artificial Intelligence Scale User Experience 23

SaaStr

SEPTEMBER 13, 2020

We’ve all seen AWS and what they’ve done with their platform. Number two, we really want companies to report and track these metrics early. What we’ve built is this core AI machine learning engine that takes literally millions and millions of unique sources so that we can deliver 95% accuracy to our clients.

Sales Hiring 153

Sales Hiring Scale Payments Cloud 153

SmartKarrot

JANUARY 18, 2022

This company uses IoT and machine learning to help businesses run more smoothly. Companies can create content that increases conversions and dialogues by using the tool’s metrics. The company offers a data analytics platform based on Amazon Web Services (AWS), Google Clouds, and Microsoft Azure.

SaaS Payments 11

SaaS Payments Payment Solutions Payment Methods Payments 11

SaaStr

MAY 21, 2019

78 times in the AWS … ADABAS was referenced in the Amazon press release and earnings announcement. Kristina : So, in summary, there are four tactics that we’ve called out, or metrics, to building a resilient company. My friend at CNBC, Ari, was counting words and press releases and found some interesting stats.

Cloud 166

Cloud Scale Finance Retention 166