AI-Proof IT Stock: Why Affle 3i May Be Better Positioned Than Many IT Stocks 

Synopsis: Affle 3i is not a traditional IT services story. The latest data shows a business where AI is being used to improve conversions, automate campaigns, protect margins and deepen customer value. The key question is whether this platform-led model can keep delivering steady growth as digital advertising becomes more AI-driven.

An AI-led technology stock is drawing attention because its business model is not built around selling more people-hours, but around delivering measurable outcomes for advertisers. At a time when artificial intelligence is becoming a risk for many traditional technology service models, Affle 3i suggests that AI is being used more as a growth tool than a threat. The company’s core strength lies in helping advertisers acquire, engage and convert users through its consumer platform stack, with revenue largely linked to actual conversions.

Affle 3i Limited, formerly known as Affle India Limited, describes itself as a consumer intelligence-driven global technology company. Its platform enables AI-led digital advertising solutions across connected devices and helps brands drive performance through mobile advertising. By Q3FY26 its platform reaches 3.9 billion connected devices and is supported by a patent portfolio of 39 unique patents filed, including 16 granted patents.

A Platform Business, Not A Traditional IT Services Model

The biggest difference between Affle and many IT services companies is the way revenue is generated. Traditional IT companies often depend on large client contracts, employee deployment, billing rates and project execution. Affle’s key model is CPCU, or cost per converted user. In simple terms, the advertiser pays when the platform helps deliver a meaningful user action, such as a transaction, registration, purchase, app event or repeat conversion.

This is important because it makes Affle more outcome-linked. The company is not just selling software access or manpower. It is trying to prove that its technology can deliver users who are useful for the advertiser. According to the available data, 99.5 percent of revenue from contracts with customers came from the CPCU model in Q3FY26. This shows that almost the entire business is linked to performance-based advertising rather than broad branding or low-measurability campaigns.

This also explains why the company is focusing on deeper funnel conversions. Management said non-CPCU business can act as an entry point for some customers, but the aim is to move them towards deeper funnel CPCU campaigns over time. In plain terms, a customer may start with a simpler branding or licensing arrangement, but Affle wants to eventually convert that relationship into a performance-led model where campaigns are measured by actual user outcomes.

The Latest Numbers Show Resilient Growth

Affle crossed the Rs. 7 billion quarterly revenue run-rate in Q3FY26. Revenue from contracts with customers stood at Rs. 7,175 million, rising 19.2 percent year-on-year and 10.9 percent quarter-on-quarter. EBITDA increased 24.1 percent year-on-year to Rs. 1,630 million, while PAT rose 19.1 percent year-on-year to Rs. 1,193 million. For the first nine months of FY26, revenue grew 19.3 percent year-on-year, EBITDA grew 28.5 percent and PAT rose 20.3 percent.

The quality of growth also matters. EBITDA growth was higher than revenue growth in both Q3FY26 and 9MFY26, showing that the company has been able to grow while protecting profitability. EBITDA margin stood at 22.7 percent in Q3FY26, compared with 22.6 percent in Q2FY26 and 21.8 percent in Q3FY25. The company also marked its seventh consecutive quarter of sequential EBITDA margin expansion, according to management commentary.

This is one reason Affle looks better placed in an AI-led environment. If AI helps the company automate campaign management, improve productivity and keep costs under control, then growth can come with operating leverage. In Q3FY26, employee benefit expenses remained largely flat sequentially, supported by productivity gains and intelligent automation, even as revenue grew 10.9 percent quarter-on-quarter.

Why CPCU Is The Core Engine

Affle’s CPCU numbers show why the company’s model has held up. In Q3FY26, the CPCU business delivered 119.7 million conversions at an average CPCU rate of Rs. 59.6, generating CPCU revenue of Rs. 7,136 million. For 9MFY26, conversions stood at 335.7 million, compared with 288.8 million in 9MFY25, while average CPCU improved to Rs. 58.5 from Rs. 57.3.

This means Affle is not growing only because it is delivering more conversions. It is also earning a higher average price per converted user. Management explained that this reflects the value delivered to advertisers, especially through deeper verticalisation and premium user conversions. The company is targeting users who are more valuable to customers, such as high lifetime value users, premium iOS users, subscribers, shoppers, gamers, patients or parents of students depending on the industry vertical.

This is a useful difference. Low-quality advertising traffic can become commoditised quickly. But if Affle can help brands find users who are more likely to transact, repeat, subscribe or spend more, the platform becomes harder to replace. That is why the rise in CPCU rate matters. It shows that the company is trying to move up the quality curve rather than only chasing volumes.

AI Is Being Used Inside The Business

In Q2FY26, management said Niko had been launched and integrated into its unified consumer platform stack. Niko was described as a specialised agentic AI capability designed to automate ROI-driven growth advertising for marketers across the iOS ecosystem. It works along with OpticksAI, the company’s GenAI-powered creative engine.

By Q3FY26, management said Niko had become its most advanced next-generation agentic AI optimisation engine. It enables automated self-service mode with real-time decisioning across bidding, targeting and budget allocation. Management also said Niko helped automate campaign learnings and optimise outcomes on the Newton Platform, strengthening the company’s ability to deliver better ROI and higher lifetime value users for advertisers.

This is the centre of the “AI-proof” argument. Affle is not saying AI will not affect the business. Instead, it is showing that the company is embedding AI into campaign optimisation, creative generation, targeting, bidding and productivity. If this works, AI becomes part of the moat because it improves speed, accuracy, automation and cost efficiency.

The company’s patent portfolio also supports this technology-led positioning. In Q2FY26, Affle was granted two new US patents, one linked to estimating ad exposure frequency and improving user engagement, and another linked to hardware and software-based user identification for advertisement fraud detection. These areas are important because digital advertising depends on quality traffic, fraud control, privacy compliance and better measurement.

Growth Is Diversified Across Markets And Verticals

Affle is not dependent on one geography. In Q3FY26, India and global emerging markets contributed 73.9 percent of revenue and grew 19.8 percent year-on-year. Developed markets contributed 26.1 percent of revenue and grew 17.8 percent year-on-year. The company said growth in India and emerging markets came despite the full-quarter impact of real money gaming in India and was supported by broad-based demand across verticals.

The real money gaming impact is important because it shows that one regulatory-hit vertical did not derail overall growth. In Q2FY26, management had already said the RMG issue impacted the quarter, but early festive demand helped offset it. The company also said it had increased sales efforts and pipelines in other verticals. 

The company’s vertical focus is also broad. Its Q3FY26 filings groups verticals across E, F, G and H categories, including e-commerce, entertainment, edtech, fintech, FMCG, foodtech, gaming, government, groceries, healthtech, hospitality and travel, and home and other utilities. This gives Affle exposure to multiple digital consumption pools rather than a narrow client segment.

Margins, Cash And The Road Ahead

Affle’s margin performance has been a key part of the story. Management has repeatedly highlighted productivity, AI automation and disciplined cost control. In Q3FY26, inventory and data cost stood at 62.4 percent of revenue as the company invested in E, F, G and H verticals across international markets. While this raised costs, management described part of this spending as an investment in building verticalised intelligence for international markets.

The balance sheet also gives room for investment. The company had cash and liquid investments of Rs. 15,417 million as of December 31, 2025, against total borrowings of Rs. 234 million. Operating cash flow stood at Rs. 2,543 million for 9MFY26. Management also said it continues to support investments in technology, talent and strategic initiatives while remaining disciplined in capital allocation.

There is also an inorganic growth angle. In Q2FY26, management said it was evaluating around 10 companies for possible acquisitions. In Q3FY26, it said the pool had been narrowed to 4 companies and active due diligence was underway. The company has also appointed Sameer Sondhi as CEO for North America and Chief Strategic Investments Officer, while Vipul Kedia has been promoted as COO to anchor growth in India and emerging markets.

The risks are still clear. Advertising budgets can be cyclical. Regulatory issues such as real money gaming can affect specific verticals. Developed market budgets can move between quarters depending on customer caution. Higher data and inventory costs can pressure gross margins if investments do not convert into future growth. 

Still, Affle shows why the company may be better positioned than many traditional IT names in an AI-heavy market. Its revenue is largely linked to conversions, its AI tools are being used inside the core platform, margins have expanded for several quarters, and growth has remained broad-based despite vertical-specific headwinds. The story is not that Affle is completely protected from disruption. The stronger point is that Affle is trying to use AI to make its platform faster, smarter and more profitable.

For investors tracking technology stocks, that makes Affle 3i a different kind of IT story. It is a digital advertising and consumer intelligence platform where AI can improve both customer outcomes and internal productivity. If the company continues to grow CPCU conversions, improve pricing, protect margins and scale across markets, its AI-led model could remain one of the more interesting technology stories to watch.

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