Customer Acquisition metrics

When your customer usage data is threatening to become Big Data

One of the recurring problems we find our clients are confronted with is the problem of dealing with data volume. Specifically, the point in which manageable amounts of aggregated usage stats are at risk of turning into high volumes of complex data that would require Big Data processing capabilities. This doesn’t happen overnight, but most small-medium SaaS companies do not have the computational capacity for big data analysis.

Swallowed alive by an unreasonable volume of data

Swallowed alive by an unreasonable volume of data

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An Evolution of SaaS Analytics

Over the past few years, we have seen a rapid evolution of analytics unfold before our very eyes. Since the analytics ball is still rolling, it is exciting to see how changes in SaaS analytics design swiftly adapt to technology and marketing trends. Immediate history, analysis of current affairs and prediction, all rolled up in one. Kind of like a SaaS analytics dashboard.

Evolution-of-man

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Why Conversion is the Most Dangerous Vanity Metric of them All

Much frantic typing has been poured into the uncovering of and warning hereby of the hazards of SaaS vanity metrics. Most commonly vanity metrics refer to marketing metrics, traffic and occasionally – the relationship between web analytics and customer centric analytics.

Selecting which analytics to track is generally trickier when you are required to drill down to customer-specific stats. The need to create a customer success standard usually drives the data people to narrow the selection of metrics so it will be easier to integrate with different user patterns. All of this means that while there should be less customer acquisition metrics to chase than there were marketing metrics, customer acquisition has its fair share of metric traps as well.

Mirror, Mirror on the wall, who has the best SaaS metrics of them all?

 

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Do End-User Metrics Belong in the Retention Plan?

Many SaaS companies provide services to other SaaS companies and digital providers. As such, they also provide services indirectly to their customers’ end-users. A remote, one-sided relationship is formed. But to what extent? How much does a SaaS provider need to research its customers’ end-users? How much do end-user metrics need to be considered in these chains of service providing and are they even necessary for effective customer acquisition?

Customer health monitoring chain

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What to Measure: Email Marketing and Marketing Automation Software

Other posts in the What to Measure series: What to Measure in Productivity Software

We previously made the case for focusing on metrics that reflect the value a customer derives from your service. We decided that like most things, this principle is better explained with examples. And since we are writing for our peers –small-medium SaaS companies– it made sense to choose as test cases SaaS providers who are suited (feature-wise  and pricing-wise) to our crowd.

We will be focusing on 3 parameters for each test case:

  • Value derived
  • Usage frequency
  • Onboarding stage

analytics

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Stop Wasting Time on the Wrong Customer Acquisition Metrics

Metrics have a strange, somewhat inexplicable allure over SaaS providers. It’s as though the number patterns hold a mysterious, elusive cipher to success. Maybe if we eyeball enough graphs, look at the customer usage stats through enough segments and rummage through enough site flows and clickthrough rates, we will be able to unravel that million-dollar metric-molecule that will tell us how to give our users exactly what they want. It’s a question of covering as much data ground as possible, right?

WRONG.

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