Real-World Cases: How SDK Review Affects App Ratings

Reviews and ratings are one of the key success factors for an app or game in the store. They build audience trust, influence the decision to install, and directly affect positions in search results, recommendations, and editorial picks.

To simplify the collection of feedback, RuStore offers the SDK Review tool — a built-in mechanism that allows users to leave ratings and reviews directly inside the app — without navigating to the store, with one click, in a familiar interface, and at the most appropriate moment in the user journey.

Integrating SDK Review delivers measurable growth in key metrics:

• The number of reviews increases by at least 2 times.
• The average app rating rises from 3.84 to 4.7.
• The share of positive ratings increases by 14%.
• Increasing the rating from 3 to 4 stars boosts download conversion by 89%, and from 3 to 5 stars by 97%.

SDK Review works automatically and requires no complex setup. The more users share their opinions, the higher the likelihood that the app will strengthen its position in the catalog, get featured, and attract a new audience.

We covered the operating principle and integration mechanics in detail in a separate article. In this piece, Mikhail Khudobin, Head of the RuStore Services Distribution Team, shares real-world cases — examples of apps and games that integrated SDK Review and achieved measurable business results.

After integrating SDK Review, the maxim app increased the number of user ratings almost 30 times: over 30 thousand reviews were collected via SDK compared to about 1 thousand organically. The rating itself also changed. The average score rose from 2.81 to 4.94, an increase of approximately 76%.

This growth not only increased the volume of feedback but also significantly changed the app's overall profile in the store: a new, competitive rating was formed based on extensive user experience.

After integrating SDK Review, the app increased the volume of user ratings approximately 50 times: over 100 thousand reviews were collected via SDK compared to 2 thousand organically. The average rating rose from 4.17 to 4.9 — an increase of about 18%.

The scale of new reviews allowed for the formation of a dense and stable rating, reducing the impact of isolated negative ratings on the overall indicator and strengthening the app's position in its category.

After integrating SDK Review, the Odnoklassniki app increased the volume of user ratings more than 3.5 times: 45 thousand reviews were collected via SDK compared to 12 thousand organically. The average rating rose from 4.02 to 4.86 — an increase of approximately 21%.

For a social network, a stable high rating with a large volume of reviews is important. SDK Review made it possible to simultaneously scale the volume of feedback and strengthen the qualitative indicator, forming a more stable and competitive app profile in the store.

After integrating SDK Review, VKontakte increased the volume of user ratings approximately 2 times: over 70 thousand reviews were collected via SDK compared to about 35 thousand organically. The average rating rose from 3.25 to 4.8 — an increase of nearly 48%.

For a large social platform, such growth in a qualitative indicator is especially significant: SDK Review allowed it to significantly strengthen its rating with a large audience and form a more competitive app profile in the store.

After integrating SDK Review, Kuper increased the volume of user ratings approximately 4 times: nearly 75 thousand reviews were collected via SDK compared to 19 thousand organically. The average rating rose from 3.98 to 4.85 — an increase of about 22%.

The growth in rating and number of reviews strengthened the app's position in the competitive delivery category, where users actively compare services based on rating and volume of feedback.

After integrating SDK Review, the PSB app increased the volume of user ratings more than 2 times: over 72 thousand reviews were collected via SDK compared to 33 thousand organically. The average rating rose from 3.8 to 4.81 — an increase of approximately 27%.

For a banking service, this growth helped strengthen the app's reputational profile in the store and cement positive user experience in public metrics.

After integrating SDK Review, the app increased the volume of user ratings almost 7 times: over 10 thousand reviews were collected via SDK compared to about 1.6 thousand organically. The average rating rose from 3.24 to 4.69 — an increase of approximately 45%.

For a streaming service, a high rating directly impacts the perception of content quality and app stability. SDK Review allowed it to significantly strengthen the service's store listing, combining the scale of review growth with a noticeable improvement in the qualitative indicator.

After integrating SDK Review, t2 increased the volume of user ratings more than 7 times, and the average rating grew by approximately 28%.

This result allowed it to form a stable and competitive app profile in the telecom category, where users rely on the volume and stability of the rating.

After integrating SDK Review, Cyber Evolution increased the volume of user ratings by 14 times: 12 thousand reviews were collected via SDK compared to 857 organically. The average rating rose from 2.45 to 4.81 — an increase of nearly 96%.

In this case, the tool effectively rebooted the game's store listing: with a high volume of reviews and an almost doubled rating, the project moved from a low rating range into a competitive segment, which is critical for mobile RPGs with high competition.

After integrating SDK Review, the game increased the volume of user ratings more than 4.5 times: 4,335 reviews were collected via SDK compared to 952 organically. The average rating rose from 3.55 to 4.99 — an increase of approximately 41%.

In this case, SDK Review allowed the project to reach the maximum rating range while simultaneously multiplying the volume of reviews, which is especially important for the RPG genre where users rely on ratings and audience activity when choosing a game.

After integrating SDK Review, the game increased the volume of user ratings almost 4 times: 1,107 reviews were collected via SDK compared to 295 organically. The average rating rose from 3.93 to 4.84 — an increase of approximately 23%.

For a dynamic arcade project, the growth in review volume coupled with a rating increase helped strengthen the game's competitive profile and secure its place in the high rating range within the category.

After integrating SDK Review, Block Blast increased the volume of user ratings almost 2 times: 272 reviews were collected via SDK compared to 149 organically. At the same time, the average rating rose from 3.11 to 4.99 — an increase of approximately 60%.

For the gaming category, maintaining a high rating is especially important: users quickly decide on an installation based on the rating. In this case, SDK Review allowed the game to enter the most competitive rating range and cement positive user experience in its store listing.

After integrating SDK Review, the game increased the volume of user ratings more than 9 times: 347 reviews were collected via SDK compared to 37 organically. The average rating rose from 2.68 to 4.96 — an increase of approximately 85%.

In this case, SDK Review allowed the game's rating to be almost completely reshaped: with a multiple increase in reviews, the project moved from a low rating range into the most competitive segment of casual puzzles.

After integrating SDK Review, the game increased the volume of user ratings from 140 to 159, and the average rating rose from 3.33 to 4.74 — an increase of approximately 42%.

For children's content, a stable high rating plays a key role: parents are especially attentive to ratings before installation. In this case, SDK Review helped noticeably improve the qualitative indicator — the average rating — and bring the game's listing to a competitive level in its age category.

After integrating SDK Review, "Words from Words" increased the volume of user ratings more than 3 times: 336 reviews were collected via SDK compared to 102 organically. At the same time, the average rating rose slightly from 4.62 to 4.67 — a 1% increase.

In this case, the key effect was not the rating growth, but the scaling of an already high indicator. SDK Review allowed for an increase in the volume of reviews without losing rating quality, strengthening the stability of the game's listing in the catalog.

After integrating SDK Review, "Erudite" increased the volume of user ratings more than 34 times: 2,485 reviews were collected via SDK compared to 72 organically. The average rating rose from 3.12 to 4.77 — an increase of about 53%.

In this case, SDK Review allowed for a radical scaling of feedback and simultaneously brought the game into a high rating range. For intellectual and word games, this effect is especially important: users actively rely on ratings and the number of reviews when choosing, and a stable high rating strengthens trust in the product.

After integrating SDK Review, the game collected 184 ratings via SDK compared to 215 organically, while the average rating rose from 3.62 to 4.84 — an increase of approximately 34%.

In this case, the key effect is related to the qualitative indicator: SDK Review allowed the game to enter a high rating range and cement positive user experience in its listing, which is especially important in a genre with high competition.

After integrating SDK Review, the game increased the volume of user ratings by 46 times: 2,323 reviews were collected via SDK compared to 50 via the storefront. The average rating rose from 2.96 to 4.52 — an increase of approximately 53%.

In this case, SDK Review allowed for a radical change in the game's profile in the store: with a large volume of reviews and a high rating, the app's listing moved into a stable competitive range, which is especially important for classic casual genres.

After integrating SDK Review, "Empire of Luck" increased the volume of user ratings more than 7 times: 935 reviews were collected via SDK compared to 123 organically. The average rating rose from 3.24 to 4.74 — an increase of about 46%.

For the slot game genre, where users quickly decide on installation, the combination of a multiple increase in reviews and a higher rating allowed for a significant strengthening of the project's competitive profile and securing its place in the high rating range of the category.