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Speaking with TechGraph, Priyanka Aeron, Director and Co-founder of Thrive Global AI, discussed how organisations across sectors are no longer limited by access to data but are increasingly challenged by fragmented information spread across marketing, sales, and operations, and how this shift has made it difficult to build a consistent and unified view of growth even as the use of AI and real-time analytics continues to expand.
She further explained how Thrive Global AI converts this fragmented data into structured intelligence by combining short-term performance metrics, such as Return on Ad Spend, with long-term indicators, including customer lifetime value and retention, and integrating these into its Beacon.IQ platform to enable real-time insight distribution and automated decision-making, while ensuring that growth strategies remain balanced and aligned beyond isolated optimisation.
Read the interview in detail:
TechGraph: Thrive Global positions itself as an AI-driven growth intelligence company at a time when most brands are still trying to make sense of fragmented data. What were you seeing in how businesses were actually using data that made you believe there was a deeper problem to solve?
Priyanka Aeron: For organizations across different sectors, the problem did not lie in having access to information, but in ensuring consistency. Organizations had access to multiple dashboards and analytical tools, yet struggled to translate fragmented data into meaningful and actionable decisions.
Their data was scattered in marketing, sales, and operations departments, making it difficult to see an overall picture of growth. Consequently, the organization had to spend a lot of time reconciling information before coming up with insights.
TechGraph: You are bringing together performance marketing, marketplace intelligence, and AI-led insights into one system. In practical terms, where do brands struggle the most when trying to connect these pieces into a clear and effective growth strategy?
Priyanka Aeron: The problem brands face is not a lack of vision, but rather a lack of coordination. Performance marketing, market intelligence, and customer data may be stored and utilized within separate platforms, run by separate teams with competing Key Performance Indicators.
This results in double-spending, incompatible measurement metrics, and ultimately slows down decision-making and makes it less effective. Even if there are relevant insights at hand, using them as a basis for a well-structured cross-functional strategy poses a significant challenge.
TechGraph: There is a strong push across the industry towards real-time analytics and predictive decision-making. How does Thrive Global ensure these insights are actually usable for teams, rather than becoming just another layer of dashboards?
Priyanka Aeron: With the implementation of real-time analytics, the problem moves from a lack of data to an excess of insights. Many individuals and teams collect a lot of data but struggle to understand what to do with all the information collected. Our strategy focuses on ease of use by transforming difficult data insights into practical priorities. In place of creating additional dashboards, we concentrate on explaining what is important, why it is important, and what should be done about it.
TechGraph: Many brands continue to invest heavily across platforms like Amazon, Google, and Meta, yet consistent growth remains a challenge. Where do you typically see things breaking down?
Priyanka Aeron: Failures usually arise from the fragmented approach used on different platforms. Every single platform works based on its own metrics, algorithms for attributing success, and methods of optimization, leading to disjointed insights. Although each campaign might be efficient individually, it causes inefficiencies at an ecosystem scale.
The lack of cohesion among channels makes marketers react and not act efficiently while distributing their budgets. For long-term success, it is essential to have holistic insights into performance signals and thus make informed data-driven decisions.
TechGraph: With tools like Vector.AI moving towards real-time performance intelligence, do you see the role of marketing teams gradually shifting from execution to decision-making?
Priyanka Aeron: Yes, the role of marketing teams is changing significantly. With the help of performance intelligence that can be provided in real time on digital platforms, automation is becoming an alternative to manual execution, optimization, and reporting.
Marketing teams are now able to concentrate their efforts on strategic thinking, analysis, and prioritization. The teams become more focused on long-term experimentation and strategy, with human insight complementing artificial intelligence.
TechGraph: As AI becomes more central to growth strategies, there is also a tendency to chase short-term efficiency. How do you help brands balance immediate performance with long-term brand building and customer retention?
Priyanka Aeron: The usual risk associated with using AI for driving growth involves optimizing the short-term performance metrics, such as Return on Ad Spend (ROAS), while ignoring longer-term performance metrics. We solve the problem by introducing short-term performance metrics as well as longer-term performance metrics, such as customer lifetime value and customer retention rate.
This allows brands to know how any short-term action affects their longer-term results. Using our methodology helps to build brands through all stages of a customer lifecycle, including acquiring, engaging, and retaining customers.
TechGraph: You are building both services and proprietary platforms like Beacon.IQ alongside it. How are you approaching this balance, and where do you see the larger value shifting as the business evolves?
Priyanka Aeron: Services and platforms can be seen as complementary parts of our overall strategy. Services allow us to work closely with clients, gaining a deep understanding of their problems and applying growth intelligence effectively.
The knowledge gained is integrated into our own platforms such as Beacon. IQ, making it possible to distribute insights on a large scale and in an automated manner. Over time, the focus is increasingly on intelligence driven by technology, while the role of services remains crucial for enabling strategic change.