Founded in October 2020, Trailytics was established to meet the growing demand for high-quality data analytics that drives strategic business decisions. With a foundation in innovation and customer-centric solutions, Trailytics quickly emerged as a leader in the analytics industry, providing AI-powered solutions to a diverse range of sectors, including e-commerce, retail, and healthcare. The company said that it has built a reputation for delivering actionable insights and customised strategies that support business growth and operational efficiency.
Target Audience: Trailytics caters to e-commerce businesses within the Fast-Moving Consumer Goods (FMCG) and Fast-Moving Consumer Durables (FMCD) sectors.
Brand Positioning: Trailytics positions itself as a leader in data analytics solutions, offering actionable insights that empower businesses to make informed, data-driven decisions. The brand is known for transforming complex data into strategic growth opportunities, providing clients with high-performance analytics tools that enhance decision-making capabilities.
Trailytics added that it is recognised for its innovation, accuracy, and customer-centric approach, making it a trusted partner for companies looking to leverage data for a competitive edge. Its unique positioning lies in offering tailored, impactful data strategies that drive business success.
Unique Selling Proposition (USP): Trailytics explains that its core value lies in its ability to provide custom-made, industry-specific analytics solutions that turn raw data into actionable insights. Its use of AI-powered tools ensures clients receive accurate, real-time analytics, enabling them to optimise their operations, improve customer satisfaction, and drive growth.
By focussing on e-commerce analytics, performance marketing, and campaign management, Trailytics delivers targeted solutions that address clients’ specific challenges.
Revenue and Business Model: Trailytics operates on a B2B model, catering to businesses involved in e-commerce. Its revenue model revolves around offering data-driven analytics services that help businesses optimize their performance across various sectors, including FMCG, FMCD, retail, and healthcare.
Expansion Plans: The company has ambitious expansion plans, seeking to grow its client base across new sectors and geographies. Trailytics continues to innovate, focusing on improving its AI-driven tools and expanding its service offerings to meet the evolving needs of its clients.
Company Headquarters: Trailytics is headquartered in Gurugram, Haryana, and employs a team of over 50 dedicated professionals.
Founding and Vision: Since its founding in October 2020, Trailytics has been committed to helping businesses thrive in the digital commerce landscape. The company’s vision is to be the go-to data analytics partner for businesses looking to optimise their operations, improve performance, and make informed decisions using advanced analytics tools.
Medianews4u.com caught up with Anirudh Varshney, Founder and CEO, of Trailytics.
Q. Trailytics’ goal is to be the backbone for businesses navigating the complexities of a data-driven economy. What would this entail?
At Trailytics, our goal is to empower businesses by providing advanced AI-driven data analytics solutions that simplify decision-making and drive measurable outcomes. In today’s data-driven economy, companies often struggle with fragmented data, inefficiencies, and rapidly changing consumer behaviours.
We address these challenges by offering real-time insights, predictive analytics, and automation tools that help businesses optimize performance, improve customer targetting, and enhance operational efficiency. Our role as a backbone means enabling businesses to make informed, data-backed decisions while ensuring transparency, accountability, and security in their analytics processes.
Q. How will the data analytics industry help companies make better and faster decisions in 2025 when it comes to areas like marketing and advertising?
By 2025, advancements in AI and predictive analytics will revolutionise marketing and advertising by providing deeper, real-time consumer insights. Businesses will rely on AI-driven tools to automate campaign optimization, personalise customer experiences, and measure ROI with greater accuracy.
The integration of machine learning will allow for precise audience segmentation, enabling brands to target the right customers at the right time with tailored messaging. Additionally, real-time analytics will ensure that companies can instantly adjust their marketing strategies based on consumer behaviour, maximizing efficiency and reducing waste.
Q. CMOs often complain that they struggle to make sense of vast amounts of data. How does Trailytics help them?
CMOs are often overwhelmed by large volumes of unstructured data spread across multiple platforms. Trailytics simplifies this challenge by providing a unified analytics platform that consolidates data from various sources, offering clear, actionable insights.
Our AI-powered tools, such as the Ad-Auto Tool, automate campaign management, helping CMOs track performance and optimize ad spending. Additionally, our Root Cause Analysis (RCA) feature helps CMOs identify inefficiencies and improve campaign effectiveness, enabling them to make data-driven decisions with confidence.
Q. Which are the key sectors that Trailytics works in? Is media and entertainment an important client base? Kindly elaborate.
Trailytics primarily serves the FMCG, FMCD, and e-commerce sectors, providing real-time data analytics solutions for performance marketing, supply chain optimisation, and digital commerce intelligence.
While media and entertainment are not our core focus, our AI-driven insights can be highly beneficial in this sector for content personalisation, audience analytics, and campaign effectiveness tracking. As consumer preferences shift, our predictive analytics capabilities can help media companies enhance viewer engagement and optimise content strategies.
Q. Is Trailytics’ USP the fact that it is able to provide clearly measurable outcomes in an environment where companies want more transparency and accountability?
Yes, one of Trailytics’ key differentiators is its ability to deliver clearly measurable outcomes, ensuring transparency and accountability in decision-making. Unlike generic analytics providers, we focus on actionable insights that directly impact business performance.
Our AI-driven tools not only track and analyse data but also offer predictive solutions, enabling businesses to measure ROI, optimise campaigns, and eliminate inefficiencies. Our Root Cause Analysis (RCA) feature further strengthens this USP by pinpointing areas for improvement, helping companies make data-backed strategic decisions.
Q. Could you shed light on how the company’s AI-powered tools and machine learning capabilities have positively impacted clients’ operations?
Our AI-powered tools have significantly transformed client operations by enabling smarter decision-making and automation. For instance, our Ad-Auto Tool helps businesses optimize digital marketing campaigns, resulting in a substantial uplift in sales and improved ROI.
A retail client using our Root Cause Analysis feature reduced ad spend wastage by 30% within 90 days while maintaining performance levels. Our predictive analytics solutions help businesses forecast demand, optimize inventory, and enhance customer engagement, ensuring maximum efficiency and profitability.
Q. Could you offer examples of how predictive analytics have helped companies fine-tune marketing strategies?
Predictive analytics has played a crucial role in optimizing marketing strategies for our clients. For example, an e-commerce brand leveraged our predictive insights to identify peak purchasing hours, adjusting ad placements accordingly and increasing conversions by 40%.
Another client in the FMCG sector used predictive analytics to segment audiences more accurately, resulting in a 25% improvement in targeted marketing effectiveness. These insights help businesses allocate budgets more efficiently, enhance customer engagement, and boost overall marketing ROI.
Q. How much research and development goes into developing tools and solutions like the Ad-Auto Tool?
At Trailytics, R&D is at the heart of our innovation strategy. Developing tools like the Ad-Auto Tool involves continuous investment in AI, machine learning, and automation technologies.
Our data scientists and engineers work extensively on refining algorithms, conducting market research, and testing new features to ensure our solutions remain cutting-edge. We also incorporate real-time feedback from clients to enhance functionality and deliver solutions that align with evolving business needs.
Q. Is lack of proper talent a challenge for the data analytics industry? Does Trailytics conduct programmes to upskill employees?
Yes, the shortage of skilled data professionals is a challenge in the analytics industry. At Trailytics, we actively invest in upskilling our workforce through continuous learning programs, certifications, and hands-on training sessions.
We encourage our employees to stay ahead of emerging technologies by participating in industry conferences and workshops. Our focus on talent development ensures that our team is equipped with the latest skills, enabling us to deliver best-in-class analytics solutions.
Q. Right now wage hikes are low, inflation is high, and consumer sentiment is down. That is affecting sectors like FMCG. Even the luxury category is slowing down. How crucial will data analytics be to help companies optimize spending in a difficult environment and avoid waste and fraud?
In challenging economic conditions, data analytics becomes an essential tool for businesses to optimise spending and drive efficiency. Trailytics helps companies in the FMCG and retail sectors maximise their marketing budgets by providing insights into customer behaviour, eliminating ineffective ad spend, and preventing fraud.
Our real-time analytics ensure that companies allocate resources effectively, minimising waste and focusing investments on high-performing strategies. With consumer sentiment fluctuating, predictive analytics also helps brands anticipate market trends and adapt their strategies proactively.
Q. Will blockchain have a big role to play in data analytics? Kindly elaborate.
Blockchain has the potential to revolutionise data analytics by enhancing security, transparency, and data integrity. At Trailytics, we are exploring ways to integrate blockchain technology into our analytics solutions to provide verifiable, tamper-proof data insights.
This can be particularly beneficial in areas like ad fraud prevention, secure data sharing, and compliance with data privacy regulations. By ensuring that data remains immutable and traceable, blockchain can enhance trust and reliability in analytics-driven decision-making.
Q. Could you shed light on the company’s ‘security-by-design’ approach that helps with data privacy—an area that has come under close scrutiny?
Data security and privacy are fundamental to our approach at Trailytics. Our security-by-design framework ensures that all our analytics tools and processes comply with global privacy standards, including the Digital Personal Data Protection Act (DPDPA). We implement robust encryption, secure APIs, and regular audits to safeguard client data.
Additionally, we prioritise transparency, allowing clients to retain full control over their data while anonymising personal information where necessary. This ensures that actionable insights can be derived without compromising privacy, reinforcing trust and compliance in our data-driven ecosystem.
