Key Takeaway: ChatGPT in the United Kingdom proves consumers will fund premium AI features, opening new revenue paths for product teams.
Why it matters: Rapid consumer spending signals that businesses which embed clear value in AI applications can monetise directly and reduce churn.
OpenAI’s mobile boom rewires product economics
The PYMNTS report on the ChatGPT mobile app details a remarkable consumer spend figure, noting $2.5 billion in 2025 alone and more than $3 billion since launch. PYMNTS: Consumers Spent $2.5 Billion in ChatGPT Mobile App in 2025.
Source: pymnts.com, 2025
Appfigures supplied the analytics behind that headline, underlining how quickly a well‑priced AI feature set can scale. The data also highlights OpenAI’s role as market-maker, reshaping expectations for subscription tiers and in‑app purchases.
OpenAI and Appfigures are central here: one builds the product, the other measures the consumer response, together showing how modern app economics bend around AI.
“Where value is obvious, customers will pay — and that has reshaped how product teams must prioritise AI features,”
— Angus Gow, Co‑founder, Anjin, commenting on pragmatic monetisation strategies for AI products.
Source: Angus Gow, Anjin, 2025
The £ and % most executives are overlooking
Many leaders see ChatGPT’s headline dollar figure and miss the unit economics underneath: average revenue per paying user, conversion rates from free tiers, and retention tied to AI accuracy.
In the United Kingdom, ChatGPT has proved paying users exist at scale, but the bigger opportunity is segmenting features that command price rather than bundling everything. Recent official figures show roughly 95% of UK households had internet access in 2024, underpinning broad potential reach for mobile AI services. Office for National Statistics.
Source: ONS, 2024
Regulation matters. The Information Commissioner’s Office has updated guidance on AI and data protection that affects how firms must handle customer data when monetising models. Product teams must map compliance into pricing to avoid post‑sale risk. ICO guidance on AI and data protection.
Source: ICO, 2024
This is a practical brief for product and commercial teams: your audience segment — enterprise product leaders — should model ARPU uplift scenarios against compliance costs and server spend.
Your 5-step roadmap to capture real revenue
- Prioritise a single paid feature, measure conversion rates in 30 days using ChatGPT or similar AI applications (aim for 3–5% conversion).
- Segment users by intent and RFM; test price elasticity over a 60‑day window to protect consumer spending metrics.
- Instrument retention metrics to push repeat purchase uplift (target a 20% lift in 90 days) tied to AI application improvements.
- Integrate privacy-by-design checks, measure compliance tasks per user weekly (aim to reduce review time by 50%).
- Run a 30‑day pilot from launch to evaluation, track CAC to LTV ratio and adjust the ChatGPT feature roadmap.
How Anjin’s AI agents for business delivers measurable uplift
Start with Anjin’s AI agents for business: AI agents for business helps teams package AI features as discrete, monetisable products and automate testing.
Imagine a UK fintech embedding a ChatGPT‑driven assistant to speed onboarding. Using the AI agents for business, the firm reduces manual KYC time by projected 40%, boosts paid conversions by 15%, and slashes support cost per user by 22% (projected uplift based on comparable pilots).
That scenario used an enterprise AI agent to manage prompts, guardrails, and analytics — combining feature delivery with compliance automation.
For hands‑on validation, teams can review transparent pricing via our transparent pricing plans and engage specialists to scope a pilot.
Expert Insight: Angus Gow, Co‑founder, Anjin, says, "Design features that answer one clear job-to-be-done, price what customers value, and instrument everything so you learn fast."
Source: Angus Gow, Anjin, 2025
We also pair the agent with targeted marketing agents such as the AI agents for marketing to convert trial users into paid subscribers faster, reflecting United Kingdom customer behaviours and compliance needs.
Claim your competitive edge today
Plan a short pilot that converts a defined cohort to paid features; include ChatGPT in UK product experiments and measure ARPU, retention, and compliance overhead.
A few thoughts
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How do UK retailers use ChatGPT to increase basket value?
Personalised AI suggestions can raise basket value; test ChatGPT‑driven recommendations in the United Kingdom for 30 days and measure AOV change.
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What pricing model suits AI applications best?
Value‑based tiers tied to feature use work well; in the United Kingdom, charge for outcomes rather than token counts.
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How do product teams keep ChatGPT compliant?
Embed ICO guidance into data flows, audit prompts monthly, and record consent for any personal data used in the United Kingdom.
Prompt to test: Produce a 30‑day pilot brief that uses the AI agents for business to increase ChatGPT paid conversions in the United Kingdom by 15% while enforcing ICO‑aligned data handling and measurable ROI.
Ready to prove impact? Speak directly with our team to scope a pilot that can cut onboarding time by 40% and lift paid conversion rates. Speak to Anjin’s team about pilots and compliance.
Source: Anjin internal projections, 2025
ChatGPT’s consumer spending surge has rewritten how firms should think about productising AI.
