In the fast-paced world of digital products, product and growth teams face a significant challenge: the manual and time-consuming process of analysing vast amounts of data to understand the factors influencing their key performance indicators (KPIs).
This traditional approach to observability involves product managers and analysts spending extensive hours on dashboards, writing SQL queries, and dissecting data to pinpoint what drives changes in their metrics, identify growth opportunities, and detect any issues that may be hindering progress.
The labour-intensive process not only slows decision-making but also diverts valuable time and resources away from strategic initiatives to enhance product growth and user engagement.
The complexity of this problem is compounded by the dynamic nature of product development and the continuous evolution of market demands. As companies strive to stay ahead in competitive markets, the need for a more efficient, automated solution becomes increasingly apparent.
The reliance on manual data analysis not only limits the speed and agility of product and growth teams but also increases the risk of overlooking critical insights that could drive significant improvements in product performance and user satisfaction.
This gap in the market for an intelligent, automated observability platform that can streamline the data analysis process, provide actionable insights, and support rapid, informed decision-making is what Segwise aims to fill, addressing a pressing need for innovation in how product growth teams operate.
Who are the founders?
Segwise was founded in May 2023 by Shobhit Gupta and Brijesh Bharadwaj, who previously worked at FamPay.
Gupta holds a BTech in Computer Science from Motilal Nehru National Institute of Technology and completed his Master's in Computer Science at the University of Utah. He began his professional career as an Analyst at Goldman Sachs, then moved on to roles as a Software Development Engineer at Amazon and Microsoft.
Additionally, he has worked as an Engineer at Yahoo, Essential Products, Uber, and WhatsApp.
Brijesh Bharadwaj, on the other hand, completed his Bachelor's in Engineering and Master's in Economics from the Birla Institute of Technology and Science, Pilani. He embarked on his entrepreneurial journey in 2012 with Tune Patrol, a social music discovery platform that developed and connected a thriving community of independent musicians and their fans in India.
However, almost two years later, he left the company and joined InMobi as a Product Manager.
In 2016, he moved to Hike as a Product Manager for Content and Games. In March 2018, he left Hike to join Dunzo as the Lead Product Manager, eventually being promoted to the role of Director of Product. In 2021, he joined FamPay to lead Product and Growth before founding Segwise.ai.
What does Segwise do?
Segwise is a cutting-edge B2B SaaS platform that leverages artificial intelligence (AI) and machine learning (ML) to provide observability solutions specifically tailored for product growth teams.
Recognising the inefficiency of manual data analysis processes, which often consume 30-50% of product teams' time, Segwise aims to automate these tasks, enabling teams to focus on strategic growth initiatives rather than getting bogged down in data.
The startup automates the observability process for product and growth teams, saving them from the laborious task of manually sifting through data to identify trends, issues, and opportunities.
For example, a product team at a mobile app company can use Segwise to automatically track key performance indicators (KPIs) like marketing spend, new user acquisition costs, and onboarding success rates.
The platform then analyses this data to highlight valuable user segments and pinpoint ineffective funnels, offering actionable insights for improvement. This automation not only streamlines the decision-making process but also significantly reduces the time and effort required for data analysis.
Offerings and features
Segwise provides a suite of features designed to enhance the efficiency of product growth teams. These include metrics insight, which tracks and analyses KPIs, and user segmentation, which identifies the most valuable user groups for targeted growth strategies.
Additionally, the platform offers funnel analysis to detect and address inefficiencies in user conversion processes. Segwise's integration capabilities allow it to seamlessly connect with various tools commonly used by product growth teams, requiring no additional engineering resources.
The startup targets companies focused on product-led growth (PLG), especially those with mobile apps that have achieved a certain level of market validation—evidenced by metrics such as 50,000 monthly active users and at least $1 million in funding. The platform is also suitable for B2B apps utilising PLG strategies.
Competition and Business Model
While the startup operates in a competitive landscape with several adjacent players, Sundial emerges as its direct competitor alongside other emerging companies like Loops.
Despite the presence of these competitors, Segwise distinguishes itself through its specialised focus on automating observability for product growth teams.
The startup earns money by offering its services through a subscription model, with pricing starting at $500 per month. This model provides flexibility for companies of various sizes and stages, from startups to more established enterprises looking to optimise their product growth strategies.
How automation is fueling the companies' growth
Automation can be a major help for companies who are aiming to focus on their core activities. It simplifies processes, reducing the time and effort needed to finish tasks. By automating repetitive and time-consuming tasks, companies can reach higher productivity levels.
This allows employees to focus on tasks that are more strategic and creative. This change not only increases output but also boosts job satisfaction among employees, who can then participate in more meaningful work.
One of the benefits of automation is its ability to generate vast amounts of data that can be analysed to gain insights into operational efficiency, customer behaviour, and market trends. The information can inform strategic decisions, helping companies to innovate, improve their products and services, and tailor their offerings to meet customer needs more effectively.
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