Saras Analytics

Founders' Notes

Learn about the insights the founders of Saras Analytics have to offer!

How should Brand Owners think about their Data and Data Team?

Building a brand is not easy. It requires passion, the commitment to take a belief system and turn that into a product, go to market and convince the market to believe in what you believe in.

Every business goes through a phase where they have achieved the scale they could with the founding team running point on everything.

Are you Building a One-Person Data Team? You need to think again!

As a company, we focus on helping brands make sense of their data. We build products to move and model data and also offer consulting services to put this data to use.

Perspectives shared here are from views formed over eight years of working with brands across countries, industries, and scale.

Data & Analytics Maturity for D2C Brands

Brands can use the data and insights gathered from their D2C sites for enhancing marketing campaigns and optimize strategies to grow conversion and brand engagement. But is the current state of data and analytics operations following the industry’s best practices?

Take a 3-minute survey to find out your D2C Brand’s current state of data and analytics maturity!

Room vs House: Which Model suits your Brand?

Digital brands with established product market fit often scale rapidly. In this pursuit of hyper-growth, most brands need to pay more attention to putting together data systems to scale and build a robust data-driven culture.

Learn about two distinct data functions with a room and house analogy to find out what works best for your brand.

Hiring a Head of Data? 9 Key Insights for Maximizing your Data Investment

One piece of advice I often give to my customers is that hiring the head of data is not necessary until you reach series C, but when you do, it’s essential to do it right.

Hiring a head of data is an investment in your brand’s future. I hope that these insights based on my experiences will help you find your startup’s head of data to succeed.

How should Brands approach Customer 360?

With the rise of ELT tools like Daton, data warehouses like Big Query and Snowflake, customers can quickly build a Golden Customer Record with the help of a capable data team at a fraction of the time and cost.

How to become Investor Ready from a Data Standpoint?

Investors looking for the next big thing to invest in inherently go for companies that have a good sense of their data as opposed to those who don’t. This bias, if I may call it that, is only natural because only what can be measured can be managed.

Why should brands invest 1% of revenue on data initiatives?

We believe investing 1%-2% of annualized revenue i.e., $100K-$200K, is a good place to start data initiatives for companies making $5M-$50M in revenue.

That would pay for the costs of the tools needed to move data, host that data, and visualize it in a BI tool, plus the cost of personnel to make data work for the business.

Often Ignored Aspects of Google Analytics

Discover the overlooked aspects of Google Analytics (GA) that hold tremendous untapped potential for marketers and eCommerce entities. Learn how the recent changes have made Google Analytics even more powerful.