Optimize & Scale your Business

Reduce Manual Work

Is your business plagued by repetitive manual data reporting tasks? Such processes can be time consuming, resource intensive, prone to errors and create bottlenecks. 

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Build Measure Learn helps companies replace manual work with automated data reporting  and analytics solutions.  Our solutions result not only in improved efficiency but also frees up employees to work on more interesting tasks.

Improve Product Adoption & Engagement

Would your business like to benefit from understanding user engagement and product adoption?

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We help companies embed data collection into products so that user engagement and  product adoption metrics can be tacked and analyzed.

Product adoption. Our solutions help businesses understand product adoption, defined as the user path from the first interest in your product to active and valuable use. Several metrics that we use to help track adoption are feature adoption rate, user activation rate, time to value.

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User engagement. Our solutions also help businesses understand user engagement described as the quality and regularity which your customers interact with your product. Metrics which we used to track user engagement include product stickiness, time spent, session frequency and active users.

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Analyzing this data allows us to identity patterns and trends in customer behavior and ultimately to optimize the product or service to better meet needs and preferences of the target market and to improve the overall user experience.

Fix Churn

Understanding and reducing customer churn is critical for businesses, especially those with subscription-based or recurring revenue models. By using data and analytics to understand why customers are leaving and implementing effective retention strategies, we help businesses reduce churn and improve their bottom line.

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Our approach to fixing churn:

1. Data collection: Collect data on customer demographics, purchase history, and feedback. This data can be used to identify patterns and trends in customer behavior that may be contributing to churn.

2. Identify the root cause: Use the data collected to identify the root cause of churn, whether it is due to poor customer service, lack of product innovation, or competitive pricing.

3. Identify high-risk customers: Use predictive analytics to identify customers who are at high risk of leaving and target them with retention efforts.

4. Test and implement retention strategies: Work with the customer to test and implement retention strategies, such as targeted promotions or personalized communication, and use data to track the effectiveness of these strategies.

5. Measure and track progress: Establish key performance indicators (KPIs) to measure and track the progress of retention efforts over time, such as customer lifetime value, customer retention rate, and customer acquisition cost.

6. Continuously monitor: Continuously monitor the customer behavior, feedback, and market trends to identify new patterns and reasons for churn, and adjust the retention strategies accordingly.

Optimize Conversion Rates

We help businesses improve conversion rates by using data and analytics to understand website user behavior, identify bottlenecks, optimize website design and user experience, and measure the effectiveness of different strategies. This leads to more efficient use of resources, increased revenue and ultimately a more successful business.

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Our approach to conversion rate optimization:

• Start by assessing your digital sales & marketing funnel including evaluating the 4 main levers of increasing revenue

• Research and determine which areas to focus CRO efforts on

• Ideate & form hypotheses to test out

• Select an experiment and implement it (often A/B test)

• Evaluate results & share learnings

• Iterate (go through the steps again!)

• Watch as your conversion & revenue is positively impacted

Identify New Revenue Streams

Some ways that we help business identity new revenue streams: 

1. Market segmentation: Analyzing customer data can help identify market segments that are underserved or have a high potential for growth. By focusing on these segments, businesses can develop new products or services to meet their specific needs and generate additional revenue.

2. Customer behavior analysis: Analyzing customer behavior data, such as purchase history or website activity, can reveal patterns and trends that can be used to identify new revenue-generating opportunities. For example, identifying customer segments that have a high lifetime value or frequently purchase complementary products can be used to inform cross-selling or upselling strategies.

3. Identifying untapped markets: By analyzing data from various sources such as social media, search engines, and industry reports, businesses can identify new or emerging markets that they could potentially expand into, leading to new revenue streams.