Mumbai: Mobavenue AI Tech Limited (“MATL”) (BSE: INE622Q01027), a digital-first, AI native technology company operating across advertising, marketing and consumer growth, today announced the launch of PiiX (πX), an AI-powered growth intelligence platform purpose-built for Apple Search Ads and the company’s first dedicated solution for the iOS ecosystem. PiiX enables app marketers to convert high-intent App Store searches into measurable installs by combining deep audience insights, machine-learning-driven optimisation, and intelligent automation.
The Opportunity
The App Store has emerged as one of the most important channels for connecting with users who are actively looking for new apps. According to Omdia, Apple’s advertising business grew by 15% last year to nearly $7 billion, with approximately 95% of that revenue linked to app install advertising on the App Store. When someone opens the App Store and types in a search, they are not browsing passively; they are ready to act. The scale of the opportunity reflects this.
Despite this quality of intent and momentum, scaling Apple Search Ads remains operationally difficult. Managing thousands of keywords, aligning Custom Product Pages with user intent, optimising bids in real time and extracting meaningful insight from large volumes of campaign data are challenges that consistently create bottlenecks for growth teams. Most teams end up making slow, manual decisions on a channel that rewards speed and precision.
What PiiX Does
PiiX sits across the full Apple Search Ads acquisition funnel as a growth intelligence layer, learning from every search, click and install to progressively sharpen campaign performance. It automates the decisions that matter most across three interconnected layers:
ASA: Traffic
Intelligent keyword expansion and automated bidding that captures high-intent searches without manual intervention. The machine learning engine continuously improves based on performance, competition and conversion signals.
CPP: Intent Matching
Contextual mapping of search terms to Custom Product Pages, the most underutilised conversion lever in the App Store. Matched pages consistently deliver significantly higher conversion rates than generic product pages.
ASO: Conversion
Creative and metadata optimisation that maximises install rate once a user lands on the product page. Continuous analysis of performance signals rather than a one-time audit.
