Optimizing VR App Visibility: First-Step ASO Strategies for Halosphere on the Vision Pro App Store

Service:
Sector:
Leisure
Author:
Published:
May 16, 2025
Team:
Oleksii Stenhach
ASO Specialist
Olha Hrek
ASO Team Lead
Tetiana Melnyk
Client Project Manager

At the end of 2024, we started promoting a VR application for Apple Vision Pro. This marked our first experience navigating the new Vision Pro App Store – without access to the standard ASO tools. While we initially encountered several limitations, we developed effective workarounds and achieved some early, measurable results that we're now ready to share.

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About our partner

HaloSphere is an immersive virtual travel app that offers users a blend of iconic destinations and rare, endangered corners of the planet. It combines engaging features such as interactive learning and offline access, delivering a seamless and educational VR experience.

Purpose of the Partnership

To increase organic impressions and downloads of the HaloSphere app in the VR App Store.

Promotion strategy

The Vision Pro App Store operates as a separate ecosystem with highly limited marketing capabilities. Notably, it lacks the ability to:

Given these limitations, we developed a step-by-step promotion strategy focused on manual optimization and maximizing the use of available channels.

  1. Researching ASO tools for VR apps.
  2. Competitor analysis.
  3. Gathering semantic data using AI and Google Trends.
  4. Expanding and localizing metadata.

Step 1. Researching ASO tools for VR apps

The first step was to research the ASO services market. Initially, we encountered a complete lack of transparency within the VR section of the App Store, which offered no functionality for:

This is because none of the major ASO services have yet planned to support applications for Vision Pro. However, given the rapid growth of the market and feedback from the ASO community, we anticipate new solutions emerging in the near future.

Step 2. Competitor analysis

Because of the absence of tools for competitor research in the VR App Store, we gathered data manually via Google and direct searches within the store. As the niche is still in its early stages of development, this presented us with a strategic advantage.

Step 3. Gathering semantic data using AI and Google Trends

We manually developed the semantic core.

  1. We used AI to generate a list of potential search terms.
  2. We supplemented the list with the names of competitors.
  3. We verified the relevance of the terms using Google Trends.

This provided a solid foundation for textual optimization of metadata.

Step 4. Expanding and localizing metadata

Initially, the app supported only one localization – English (U.S.). Over time, we updated the metadata three times and gradually expanded localization to 14 languages, covering the key regions where Vision Pro is available.

We localized the Title and Subtitle indexing fields for each region, which expanded potential reach and significantly improved search visibility.

Locations covered:

  • English (U.S.);
  • English (U.K.); 
  • English (Canada);
  • English (Australia);
  • Korean (U.S.);
  • Chinese (Simplified);
  • Chinese (Traditional);
  • Arabic;
  • French (France);
  • French (U.S.);
  • French (Canada);
  • Vietnamese;
  • German;
  • Japanese.

At this stage, we incorporated cross-localization strategies: for example, recognizing that French is spoken not only in France but also in regions like the United States and Canada. This allowed us to leverage alternate locales to expand semantic coverage. By localizing the app for French in the Canadian App Store, for instance, we improved visibility for French-language terms within that market.

This approach enabled keyword synchronization across countries sharing the same language and allowed us to maximize the use of all available indexing fields.

1600% increase in downloads due to localization: find the details in the Mod-Master case study.

Results

  1. Impressions and overall visibility (Search + Views).

Following the first metadata update, the app began to show a steady increase in organic impressions. The primary driver of this growth was traffic from App Store Search. The peak daily impressions rose from 30 to 92, while the average daily impressions increased from 20 to 60.

The app also began appearing in curated selections and category listings (Browse). While Browse currently accounts for only about 7% of total impressions, its upward trend indicates promising potential for continued growth.

The peak number of impressions per day increased by 206.7%.
The average number of impressions increased by 200%.
Browse (selections and categories) – shows positive growth, about 7% of the total number of impressions.
The graphs illustrate impression trends following three metadata updates, shown separately for Search and combined for Search plus Browse.
  1. First downloads (Search).

Before the metadata updates, the app’s peak daily first downloads were just one. After implementing the new metadata, this number increased to five per day.

The average number of first downloads before the updates was around 0.3 per day, rising to two per day by early January.

The peak number of first downloads per day increased by 400%.
The average number of first downloads increased by 566.7%.

The download peak on November 22 was driven by partner activities and does not reflect the impact of ASO efforts.
  1. General downloads (Search + Views).

In the days immediately following the update, daily downloads peaked at 15, with the average rising to approximately four per day.

The average number of total downloads increased by 300-400%.
The peak number of total downloads increased by about 1400%.

Campaign
Expenditure
Impressions
Taps
Installs
TTR
CR
Installs/Impr
Avg CPT
Avg CPA
Common term
-65.64%
-49.85%
-64.01%
-63.52%
-1.69%
0.81%
-0.98%
-5.13%
-6.06%
Data collection
-44.45%
-29.55%
-44.22%
-50.2%
-0.7%
-6.39%
-0.6%
0%
11.65%
Competitors brand
98.56%
80.41%
103.76%
92.01%
0.38%
-3.58%
0.12%
-2.38%
2.94%
Our brand
21.39%
23.01%
33.84%
32.65%
3.14%
-0.72%
2.27%
-8.33%
-6.82%
Discovery
-100%
-100%
-100%
-100%
-3.61%
-30.16%
-1.09%
-100%
-100%
Total
-0.6%
7.92%
11.72%
12.3%
0.2%
0.35%
0.16%
-11.36%
-12.31%
Group
Spend, $ %
Impressions %
Taps %
Installs %
Installs/Impr October, %
Installs/Impr November, %
Installs/Impr %
Avg CPT, $ %
Avg CPA, $ %
Competitor 1
42,98
83,11
63,3
50,48
3,74
3,08
-0,66
-12,2
-5,66
Common term
3,26
-3,73
3,92
26,67
0,57
0,75
0,18
0
-18,8
Competitors brand
120,26
59,82
47,02
0
0,49
0,31
-0,18
47,37
119,4
Data collection
15,12
-0,55
0,36
73,33
0,5
0,86
0,36
13,73
-33,51
Competitor 2
0,27
13,2
8,47
10,11
1,12
1,09
-0,03
-6,56
-9,02
Competitor 3
21,51
-2,06
-6,67
-8,33
0,43
0,4
-0,03
32
32,95
Our brand
3 575,62
3 646,79
3 544,9
3 553,66
37,61
36,68
-0,93
0
0
Competitor 4
-29,36
-35,77
-24,07
-33,7
0,61
0,63
0,02
-7,46
6,25
Relevant Competitors
69,42
26,03
51,35
48,95
6,3
7,45
1,15
12,2
14,29
Competitor 5
32,21
17,63
57,48
53,16
1,71
2,23
0,51
-15,71
-13,77
Competitor 6
-9,31
9,42
22,92
17,89
5,3
5,71
0,41
-27,08
-23,44
Total
33,96%
13,44%
87,29%
127,08%
1,36%
2,73%
1,37%
-29,09%
-40,74%
Custom region
Impressions
Units
1/7/2021 - 1/15/2021
1/16/2021 - 1/24/2021
Change
%
MoM
1/7/2021 - 1/15/2021
1/16/2021 - 1/24/2021
Change
%
MoM
United States
12 970
39 436
26 466
204 %
88 220
1 116
1 904
788
71 %
2 627
UK + Ireland
8 731
10 197
1 466
17 %
4 887
438
462
24
5 %
80
Germany + AT + CH + LU
1 974
6 235
4 261
216 %
14 203
203
291
88
43 %
293
France
1 500
4 390
2 890
193 %
9 633
182
237
55
30 %
183
Netherlands / Belgium
1 593
3 599
2 006
126 %
6 687
159
201
42
26 %
140
Ukraine
697
4 010
3 313
475 %
11 043
85
189
104
122 %
347
Canada
2 569
3 614
1 045
41 %
3 483
145
178
33
23 %
110
Northern Europe
1 273
2 024
751
59 %
2 503
117
175
58
50 %
193
Australia + NZ
1 754
3 324
1 570
90 %
5 233
137
160
23
17 %
77
Vietnam
352
2 712
2 360
670 %
7 867
32
144
112
350 %
373
Thailand
679
2 016
1 337
197 %
4 457
57
142
85
149 %
283
Arabic World
268
1 745
1 477
551 %
4 923
40
119
79
198 %
263
Spain
844
2 058
1 214
144 %
4 047
78
108
30
38 %
100
Eastern Europe
458
1 070
612
134 %
2 040
63
95
32
51 %
107
Italy
826
2 145
1 319
160 %
4 397
77
94
17
22 %
57
Turkey
338
2 309
1 971
583 %
6 570
34
87
53
156 %
177
Rest of World
426
1 457
1 031
242 %
3 437
48
81
33
69 %
110
Japan
553
5 113
4 560
825 %
15 200
18
80
62
344 %
207
India
234
1 169
935
400 %
3 117
15
75
60
400 %
200
Brazil
294
1 332
1 038
353 %
3 460
34
67
33
97 %
110
Hispanic America
318
784
466
147 %
1 553
42
51
9
21 %
30
Indonesia
206
525
319
155 %
1 063
20
41
21
105 %
70
Korea (South)
308
2 055
1 747
567 %
5 823
22
36
14
64 %
47
Malaysia
119
663
544
457 %
1 813
11
27
16
145 %
53
Taiwan + HK + Macau
145
532
387
267 %
1 290
9
24
15
167 %
50
Rest of Europe
82
287
205
250 %
683
12
22
10
83 %
33
Portugal
17
273
256
1 506 %
853
2
18
16
800 %
53
Israel
23
120
97
422 %
323
3
9
6
200 %
20
China / Singapore
78
134
56
72 %
187
6
7
1
17 %
3
Total
39 629
105 328
65 699
166 %
218 997
3 205
5 124
1 919
60 %
6 397

Plans and business insights

The traditional approach to collecting and optimizing metadata has proven to be effective: textual metadata in the VR App Store significantly influences indexing for key terms and helps boost your app’s organic visibility.

However, without dedicated ASO services for VR applications, continued growth will require ongoing adaptation of traditional ASO techniques. Following our initial efforts, we plan to:

  • Continue researching the semantic core for the iPhone App Store by analyzing key terms for niche relevance and typical user behavior, to better understand how VR-related terms are formed within the tourism context.
  • Collect competitor brand data directly from the Vision Pro App Store, rather than relying solely on third-party sources.
  • Translate the core semantic set, including common terms, into all available locales.

The lack of reliable data on term popularity and indexing makes the optimization process particularly challenging. As a result, we currently rely on our own expertise and the support of professional communities such as ASO Busters. We also continue to test new ideas and hypotheses, which is what drives our progress.

Stay tuned – we’ll continue to share updates on this case and new results in future publications.

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