Marketing Strategy
User acquisition
Also known as: UA, UA marketing, app user acquisition
User acquisition, usually shortened to UA, is the practice of attracting new users to an app or product through paid media, organic channels and partnerships. It covers campaign planning, creative production, bidding, measurement and post-install analysis. The goal is a sustainable cost per user relative to the value those users generate.
What it is
UA teams run paid campaigns on networks such as app campaign platforms, search ad products and social and video channels, alongside organic work like store optimisation, content, referrals and PR. The discipline spans creative testing, audience and geography selection, bid and budget management, and the measurement setup that links spend to outcomes. It sits between marketing and finance, because decisions depend on what a user is worth over time.
Why it matters
Acquisition cost is one of the few levers that directly determines whether a product can grow profitably, so small changes in cost per install or conversion rate compound quickly. UA also shapes product data, because the audiences you buy determine the retention and monetisation you observe. Weak measurement leads to overspending on channels that only capture demand created elsewhere.
How it works
Practitioners set a target cost per acquisition derived from expected lifetime value and payback period, then test creative and audiences against it. Measurement relies on mobile measurement partners, Google Play Install Referrer on Android and privacy-preserving attribution frameworks on iOS, supported by incrementality tests or geo holdouts where attribution is thin. Reporting usually moves from install volume towards downstream events such as registration, first purchase or subscription start.
When it applies
UA applies once a product has a working activation and retention loop and the unit economics are understood well enough to set a spending limit. It is most intense around launches, new market entry and seasonal peaks, and it should pause or rebalance when retention or payback metrics deteriorate.
Examples
- A subscription app sets a target of recovering acquisition cost within 90 days, then cuts channels that miss the payback window after two full cohorts.
- A games studio runs a weekly creative test of six video concepts, keeps the two with the strongest install to day seven retention, and retires the rest.
- A marketplace runs a geo holdout in three regions to measure how many installs its paid social spend adds beyond organic baseline.
How it is measured
- Cost per install and cost per acquisition for a defined downstream event
- Return on ad spend and lifetime value to customer acquisition cost ratio
- Payback period in days or months, by channel and cohort
- Retention at day one, day seven and day thirty for acquired cohorts, compared with organic users
Insights on User acquisition
Related terms in Marketing Strategy
- Agentic marketingAgentic marketing is the use of AI agents that can plan multi-step work and take actions across marketing tools, rather than only generating text on request. It also covers designing marketing for a world where buyers delegate research and purchasing to their own agents. In practice it is a mix of workflow automation, tool permissions and human review.
- AI searchAI search is the use of large language models to answer a query directly, usually with a written summary rather than a list of links. It covers AI overviews inside traditional search engines and assistants such as ChatGPT, Perplexity, Copilot and Gemini. The visible outcome for a brand is being described and cited inside an answer rather than ranked on a results page.
- AI-generated contentAI-generated content is text, images, audio, video or code produced wholly or mainly by a generative model rather than written or made by a person. It ranges from fully automated output to drafts that a human edits and approves. Its value in marketing depends on editorial control, accuracy and whether it adds anything a reader cannot get elsewhere.
- Audience intelligenceAudience intelligence is the practice of gathering and analysing data about who your audience is, what they care about, and how they search and buy, then turning that into decisions. It combines first party behavioural data with research, search data, social listening, and customer conversations. The output is usually segments, messaging guidance, and content priorities rather than a single report.
- B2B marketingB2B marketing is the practice of promoting products and services to other organisations rather than to individual consumers. It typically involves longer sales cycles, multiple decision makers, higher contract values and a heavier reliance on content, sales enablement and relationships. Success is usually measured through pipeline and revenue contribution rather than immediate transactions.
- Brand voiceBrand voice is the consistent personality and language a brand uses across every channel, covering vocabulary, tone, sentence rhythm and the things it will and will not say. It is documented in guidelines so different writers, agencies and AI tools produce work that sounds like the same organisation. Voice stays stable while tone flexes with context.
Primary research · August 2026
How ChatGPT Shortlists Software Brands
An audit across 10 categories and 60 buying questions. I recorded what ChatGPT reads, throws away and links to when a buyer asks it which software to buy, and what that decides.
- 60
- Questions asked
- 10
- Software markets
- 2,680
- Results read
- 367
- Links shown
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