News App Marketing: How We Ranked a News App #1 and Drove 300K Downloads

News is one of the most downloaded app categories in India—and one of the most brutally competitive. Dainik Bhaskar, Amar Ujala, Navbharat Times, Jagran, and NDTV India collectively command tens of millions of daily active users. InShorts and DailyHunt aggregate across languages and have invested hundreds of crores in growth and technology. Google News is a default install on most Android devices.

For a new or mid-sized news app, competing on the basis of keyword rankings for "hindi news" or "latest news today" means going head-to-head with teams that have been building SEO and ASO moats for years. Yet we see news apps break into competitive keyword rankings regularly—because the incumbent apps are often large, slow-moving organisations that do not actively optimise their store listings. ASO in the news category rewards agility.

Our client was a digital-first Hindi news platform founded in 2020 by a team of journalists from leading national dailies. The platform's journalism was strong—they had broken several stories that were later picked up by major TV channels—but their app distribution was negligible. With 65,000 downloads and a 3.4★ rating on Google Play, they were invisible in the one discovery channel that mattered most for news apps: the app store search bar.

Analysis of their situation revealed three compounding problems:

• No keyword presence: The app ranked on page 5+ for "hindi news" and did not appear in the top 50 for "latest news today"—the category's two highest-volume search terms. Their store listing was a single paragraph of generic news app copy with no keyword strategy whatsoever.
• Low review velocity: The app was receiving fewer than 20 new reviews per month—not enough to signal active usage to the Play Store algorithm, and not enough to dilute the impact of a cluster of 1-star reviews from a technical outage 8 months prior.
• High D1 churn from push notifications: The app's default notification setting was aggressive—15+ push notifications per day covering every news category. New users were uninstalling within 24 hours because the notification volume was overwhelming.

Keyword strategy: broad to narrow. Ranking for "hindi news" immediately was not realistic—those terms are dominated by apps with millions of downloads and years of ranking history. Instead, we mapped the full keyword landscape of Hindi news app search behaviour and identified three tiers of opportunity:

• Tier 1 (target after 60 days): Long-tail terms with lower competition—"hindi news app free", "hindi samachar app", "taza khabar app", "breaking news hindi app". These terms collectively drive significant volume and have achievable page-1 ranking targets for a well-optimised mid-sized app.
• Tier 2 (target after 90 days): Category-specific terms—"politics news hindi", "business news app hindi", "crime news hindi". Users searching these are high-intent news readers, not casual browsers.
• Tier 3 (target after 6 months): The primary high-volume terms—"hindi news", "latest news today", "aaj ki khabar". These require significant download velocity and review volume to rank—which we would build in parallel through the review programme and paid UA.

Metadata restructure. The new app title: "[App Name]: Hindi News & Samachar"—incorporating both English and Hindi-script Romanised versions of the primary keyword. Short description led with: "Taza Hindi khabar, breaking news, aur analysis—sabse pehle." (Fresh Hindi news, breaking news, and analysis—first every time.) Long description seeded all three tiers of keywords naturally across 4,000 characters.

Screenshot redesign. The existing screenshots showed generic news article layouts. We redesigned them to show the app's distinctive features: offline reading, personalised topic selection, and notification controls (addressing the known pain point directly in the store creative). A new screenshot explicitly showing "Customize Your Notifications" was added as screenshot 3—an unusual move that paid off by reducing post-install churn from users who found the default notification settings overwhelming.

Review velocity programme. We implemented the Play In-App Review API at two moments: after the user had read 5 articles in a session (demonstrated engagement), and 72 hours after install for users who had not uninstalled (revealed satisfaction). We also implemented a "rate us" prompt in the app settings for users who explicitly navigated there—a strong intent signal. Combined, these changes drove 150–250 new reviews per month (up from 20), rapidly diluting the legacy 1-star cluster and pushing the rating from 3.4★ to 4.3★ in 5 months.

Google UAC for news-intent audiences. News apps have a unique paid UA opportunity: Google knows who reads news content. UAC campaigns can leverage Google's content signals to target users who regularly consume news articles on Google Discover, Google News, and the web. We structured two UAC campaigns: one optimising for installs (for volume and learning data) and one optimising for "article read" as the key post-install event. The article-read optimised campaign delivered users with 3x higher D30 retention than the install-optimised campaign.

We also ran Search campaigns targeting users searching for the competitor brand names (an unbranded brand-comparison approach)—capturing high-intent news readers actively evaluating alternatives. These campaigns had higher CPIs (₹22–₹28 versus ₹12 for UAC) but delivered users with exceptional engagement metrics.

Meta campaigns for reach at scale. Meta gave us the volume to build download velocity—critical for improving keyword rankings in the Play Store algorithm. We ran Advantage+ App Campaigns targeting Maharashtra, Uttar Pradesh, Bihar, Madhya Pradesh, and Rajasthan—the largest Hindi-speaking states. Creatives featured strong news headlines from the app's coverage, designed to trigger curiosity and a desire to read more.

Push notification overhaul (reducing churn, not acquisition). Before scaling paid UA significantly, we recommended the client overhaul their push notification defaults. New users were onboarded into a "starter" notification tier with a maximum of 5 notifications per day, personalised to the topics they selected during onboarding. Users could opt up to a "full coverage" tier after 7 days. This single change improved D1 retention from 34% to 51%—dramatically reducing the waste in every subsequent paid install.

Over 10 months of the engagement:

• 300,000 total downloads (up from 65,000 at engagement start—a 4.6x increase)
• #1 ranking for the primary Tier 1 keyword target ("hindi samachar app") achieved at month 6
• Page 1 rankings for 23 news-related keywords, including several Tier 2 category-specific terms
• 51% D1 retention (up from 34% before push notification overhaul)
• 4.3★ average rating on Google Play (up from 3.4★)
• ₹14 blended CPI across all paid channels
• 38% of installs now organic (from keyword search and browse)—up from 8% at start of engagement

These are anonymised client results shared with permission. Individual results will vary.

1. Map the full keyword landscape before targeting the hardest terms. "Hindi news" is an enormous keyword—but it is also the last keyword a news app should target, not the first. Build ranking momentum through medium-competition terms, accumulate download velocity and review signals, and then challenge the high-competition primary terms from a position of strength. Most apps try to go for the hardest terms first and wonder why they cannot rank.

2. Review velocity is an algorithmic signal, not just a credibility metric. Google Play's ranking algorithm gives weight to review velocity—apps that consistently receive new reviews rank higher than apps with the same average rating but stagnant review counts. Implementing in-app review prompts at the right moments (post-engagement, not on first open) turned the review section from a liability into an asset and directly improved keyword rankings.

3. Reducing churn is a UA strategy, not just a product strategy. The push notification overhaul that improved D1 retention from 34% to 51% effectively increased the efficiency of every rupee spent on paid UA by 50%. When your acquisition budget is fixed, improving retention is mathematically equivalent to reducing CPI. Every news, content, and social app should audit their notification strategy before scaling spend.

4. Content apps benefit from content-specific UA targeting. Google UAC's ability to target by content consumption behaviour is uniquely powerful for news apps. A news app that targets users who regularly read political news on Google Discover will acquire far better-retained users than one running broad targeting—because the targeting matches users who have already demonstrated the exact behaviour the app wants them to adopt.

If you are marketing a news or content app and want to build sustainable organic growth, talk to our team. Our ASO service includes full keyword strategy, metadata copywriting, and store creative design for content apps. See also how we applied similar keyword-ownership strategies for an OTT app in a regional market.