BigOven 250,000+ Recipes and Grocery List Mobile App Traffic and Demographic Statistics by Quantcast

 

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Updated Apr 24, 2014 • Next: Apr 25, 2014 by 9AM PDT
Last Month
For Mar 25, 2014 - Apr 23, 2014
Uniques Visits Installs Upgrades
BigOven 250,000+ Recipes and Grocery List 3.6.5 (Android) 99,994 417,964 22,844 77,122
BigOven 250,000+ Recipes and Grocery List 5.3 (iOS) 90,884 243,385 28,109 64,775
BigOven 250,000+ Recipes and Grocery List 3.6.4 (Android) 65,518 215,600 10,204 27,893
BigOven 250,000+ Recipes and Grocery List 5.2 (iOS) 31,121 62,130 6,426 9,449
BigOven 250,000+ Recipes and Grocery List 5.4 (iOS) 19,450 43,676 4,800 14,630
See all 35 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
  79
Female
 
 
120
 
 
 
< 18
 
  74
18-24
 
 
115
25-34
 
 
126
35-44
 
 
114
45-54
 
  92
55-64
 
  84
65+
 
  78
 
 
 
No Kids
 
 
109
Has Kids
 
  91
 
US average
index
 
 
$0-50k
 
 
103
$50-100k
 
 
106
$100-150k
 
  88
$150k+
 
  77
 
 
 
No College
 
  82
College
 
 
124
Grad School
 
  90
 
 
 
Caucasian
 
 
105
African American
 
  92
Asian
 
  73
Hispanic
 
  80
Other
 
  95
 
US average


Updated Apr 23, 2014 • Next: Apr 30, 2014 by 9AM PDT

User Retention After Install

Percentage of visitors returning to the mobile app within a specific timeframe after the installation date. Click the expand button under graph to see usage patterns for specific installation days.

Date of Installation Install Day +2 Days +3 Days +1 Week +2 Weeks +1 Month +3 Months +6 Months
Average Day
435 days total
1,944,210 installs
100%
62%
59%
52%
47%
39%
22%
9%
6 months ago
October 24, 2013
5,567 installs
100%
64%
61%
53%
48%
40%
21%
3 months ago
January 24, 2014
4,569 installs
100%
61%
56%
49%
42%
31%
1 month ago
March 24, 2014
3,413 installs
100%
47%
41%
33%
24%
2%
2 weeks ago
April 10, 2014
2,286 installs
100%
37%
33%
19%
1 week ago
April 17, 2014
2,286 installs
100%
29%
23%

Visit Frequency

The number of non-logged-in unique users grouped by their return visit counts over the last 30 days.

The number of logged-in unique users grouped by their return visit counts over the last 30 days.

Visits Not Logged In | Logged In
1   111,701
2-3   52,681
4-7   20,490
8-15   7,455
16-31   2,607
32-63   869
64-127   329
128-255   107
256-511   41
512+   15
1   38,131
2-3   40,671
4-7   26,358
8-15   16,971
16-31   9,861
32-63   5,421
64-127   2,654
128-255   1,050
256-511   386
512+   159

Top Countries

The number of visits per country over the last 30 days.

countries Visits % Of Total
1.
United States
1,181,193
74%
2.
Canada
101,798
6%
3.
United Kingdom
87,571
6%
4.
Australia
45,445
3%
5.
India
32,781
2%
6.
South Africa
10,735
1%
7.
Philippines
9,552
1%
8.
Ireland
8,001
1%
9.
Malaysia
7,374
<1%
10.
New Zealand
6,743
<1%

Top Device Models | Connections | Carriers | OS Versions

The number of unique users per device over the last 30 days.

device models Uniques % Of Total
1.
iPhone 5
29,281
10%
2.
iPhone 4S
23,952
8%
3.
iPad 2
20,011
7%
4.
iPhone 5S
17,415
6%
5.
iPhone 4
11,761
4%
6.
SCH-I535
8,745
3%
7.
iPad 4th Gen
8,318
3%
8.
iPad 3rd Gen
8,246
3%
9.
SCH-I545
7,579
3%
10.
iPhone 5C
7,540
2%
11.
SPH-L710
7,228
2%
12.
iPad mini
6,970
2%
13.
iPad Air
5,953
2%
14.
SAMSUNG-SGH-I337
5,504
2%
15.
SAMSUNG-SGH-I747
5,320
2%
16.
SGH-M919
4,461
1%
17.
SPH-L720
4,144
1%
18.
Nexus 7
3,837
1%
19.
SGH-T999
2,954
1%
20.
DROID RAZR
2,861
1%
21.
SM-N900V
2,460
1%
22.
iPad
2,409
1%
23.
SAMSUNG-SM-N900A
2,381
1%
24.
BNTV600
2,347
1%
25.
SM-N900T
2,285
1%
26.
KFTT
2,277
1%
27.
SCH-I605
2,082
1%
28.
BNTV400
1,866
1%
29.
XT907
1,851
1%
30.
HTC One
1,660
1%
31.
XT1080
1,571
1%
32.
SAMSUNG-SGH-I537
1,545
1%
33.
DROID RAZR HD
1,542
1%
34.
SAMSUNG-SGH-I317
1,518
1%
35.
SM-N900P
1,499
<1%
36.
SPH-L900
1,419
<1%
37.
iPad mini with Retina display
1,406
<1%
38.
SM-T210R
1,396
<1%
39.
iPod touch
1,392
<1%
40.
BNTV250
1,347
<1%
41.
GT-P3113
1,326
<1%
42.
BNRV200
1,253
<1%
43.
GT-P5113
1,206
<1%
44.
GT-P5210
1,180
<1%
45.
SGH-T889
1,173
<1%
46.
SGH-T999L
1,136
<1%
47.
SGH-T989
1,078
<1%
48.
Nexus 5
1,073
<1%
49.
SPH-D710
1,034
<1%
50.
KFTHWI
1,025
<1%
51.
KFSOWI
1,013
<1%
52.
SCH-S738C
1,009
<1%
53.
SCH-R970
1,006
<1%
54.
HTCONE
1,002
<1%
55.
LG-LS980
992
<1%
56.
SM-T217S
948
<1%
57.
VS980 4G
941
<1%
58.
KFJWI
901
<1%
59.
GT-N8013
879
<1%
60.
BNTV250A
814
<1%
61.
SCH-R530U
810
<1%
62.
Galaxy Nexus
802
<1%
63.
Nexus 4
744
<1%
64.
SM-T310
739
<1%
65.
HTC6435LVW
735
<1%
66.
LG-E980
724
<1%
67.
iPhone 3GS
692
<1%
68.
HTC6500LVW
669
<1%
69.
Kindle Fire
655
<1%
70.
LG-MS770
638
<1%
71.
LG-LS970
637
<1%
72.
ALCATEL ONE TOUCH Fierce
614
<1%
73.
EVO
612
<1%
74.
KFOT
612
<1%
75.
LG-D801
562
<1%
76.
GT-N5110
542
<1%
77.
SM-P600
534
<1%
78.
HTC One X
522
<1%
79.
DROID4
468
<1%
80.
LG-D800
453
<1%
81.
DROID BIONIC
430
<1%
82.
NX008HD8G
430
<1%
83.
XT1060
425
<1%
84.
SAMSUNG-SGH-I527
421
<1%
85.
LG-P769
413
<1%
See all 85 device models

The number of visits per connection type over the last 30 days.

connections Visits % Of Total
1.
WiFi
758,021
64%
2.
Cellular Data
403,123
34%
3.
No Internet Connection
20,049
2%

The number of visits per carrier type over the last 30 days.

carriers Visits % Of Total
1.
WiFi
758,021
64%
2.
AT&T
104,927
9%
3.
Verizon Wireless
99,713
8%
4.
Sprintcom Inc
71,237
6%
5.
T-Mobile USA
66,697
6%
6.
Unspecified US Carrier
34,058
3%
7.
Disconnected
20,049
2%
8.
Unrecognized Carrier
8,925
1%
9.
US Cellular
5,700
<1%
10.
Metro PCS Wireless Inc
3,906
<1%
11.
Cricket Communications
3,413
<1%
12.
Cellular South Inc
943
<1%
13.
Not Reported
820
<1%
14.
nTELOS Communications Inc (Virginia PCS Alliance LC)
308
<1%
15.
North East Cellular Inc.
273
<1%
16.
Tracfone Wireless
260
<1%
17.
GCI Communications Corp.
213
<1%
18.
Iowa Wireless Services LLC
204
<1%
19.
Cincinnati Bell Wireless LLC
191
<1%
20.
Virgin Mobile
155
<1%
21.
Digicel Ltd
142
<1%
22.
New Cell Inc. dba Cellcom
124
<1%
23.
T-Mobile Deutschland GmbH
105
<1%
24.
Celcom (Malaysia) Berhad
96
<1%
25.
MTPCS LLC
79
<1%
26.
Union Telephone Company
76
<1%
27.
AWCC
52
<1%
28.
Cellular Properties Inc.
50
<1%
29.
CTC Telecom Inc
47
<1%
30.
West Central Wireless
30
<1%
31.
MTA Communications dba MTA Wireless
29
<1%
32.
Smith Bagley Inc, dba Cellular One
28
<1%
33.
Pine Telephone Company dba Pine Cellular
24
<1%
34.
SETEL GSM
20
<1%
35.
France Telecom España, SA
18
<1%
36.
New Mexico RSA 4 East Ltd. Partnership
17
<1%
37.
Nex-Tech Wireless LLC
16
<1%
38.
Bluegrass Cellular LLC
14
<1%
39.
Choice Phone LLC
12
<1%
40.
Nextel Communications Inc
11
<1%
41.
Carolina West Wireless
10
<1%
42.
Globe Telecom
9
<1%
43.
Alaska Communications
8
<1%
44.
Movistar
8
<1%
45.
Orange France
8
<1%
46.
Rogers Wireless
8
<1%
47.
Wisconsin RSA#7 Ltd Patnership
7
<1%
48.
Commnet Wireless LLC
7
<1%
49.
Mobile Telesystems
7
<1%
50.
Bharti Airtel Ltd., Delhi
6
<1%
51.
CYTA
6
<1%
52.
T-Mobile UK
6
<1%
53.
Telcel
6
<1%
54.
GoMobile SamoaTel Ltd
5
<1%
55.
Illinois Valley Cellular
5
<1%
56.
Iusacell / Unefon
4
<1%
57.
CentennialDominicana
4
<1%
58.
Corr Wireless Communications LLC
4
<1%
59.
Indigo Wireless, Inc.
4
<1%
60.
North Dakota Network Co.
4
<1%
61.
Azules y Platas S.A.
4
<1%
62.
Telekom Network Ltd.
3
<1%
63.
Wireless Communications Venture
3
<1%
64.
California RSA No3 Ltd Partnership dba Golden State Cellular
3
<1%
65.
China Unicom
3
<1%
66.
Leaco Rural Telephone Company Inc
3
<1%
67.
Telecom Italia Mobile (TIM)
2
<1%
68.
TotalSolutions Telecom LLC
2
<1%
69.
TT mobile
2
<1%
70.
Vodafone Libertel N.V.
2
<1%
71.
Alltel
2
<1%
72.
Du
2
<1%
73.
Bouygues Telecom Caraïbe
2
<1%
74.
Cable & Wireless (BVI) Ltd
2
<1%
75.
Celtel Zambia Ltd.
2
<1%
76.
Digicel Trinidad and Tobago Ltd.
2
<1%
77.
H3G
2
<1%
78.
Northeast Wireless Networks LLC
2
<1%
79.
Rural Cellular Corporation
2
<1%
80.
Telefónica Centroamérica Guatemala S.A.
1
<1%
81.
Telems Cel
1
<1%
82.
Telstra Corporation Ltd.
1
<1%
83.
Telus Mobility
1
<1%
84.
Vodafone Ltd.
1
<1%
85.
Bharti Airtel Ltd., Mumbai
1
<1%
86.
olleh Mobile
1
<1%
87.
Bouygues Telecom
1
<1%
88.
Bug Tussel Wireless LLC
1
<1%
89.
Chariton Valley Communications Corp., Inc.
1
<1%
90.
China Mobile
1
<1%
91.
Corporación Digitel
1
<1%
92.
Inland Cellular Telephone Company
1
<1%
93.
Kaplan Telephone Company Inc.
1
<1%
94.
Mossel (Jamaica) Ltd.
1
<1%
95.
ATL Algar
1
<1%
96.
Omnitel Pronto Italia (OPI)
1
<1%
97.
QATARNET
1
<1%
98.
SK Telecom
1
<1%
See all 98 carriers

The number of unique users per operating system over the last 30 days.

OS versions Uniques % Of Total
1.
iOS / 7.1
92,929
31%
2.
Android / JSS15J
48,434
16%
3.
Android / JZO54K
21,642
7%
4.
Android / KOT49H
19,631
6%
5.
Android / JDQ39
18,522
6%
6.
iOS / 7.0.4
17,682
6%
7.
iOS / 7.0.6
15,595
5%
8.
iOS / 6.1.3
5,272
2%
9.
Android / IMM76D
5,247
2%
10.
Android / GINGERBREAD
5,202
2%
11.
Android / IMM76L
4,611
2%
12.
Android / IML74K
4,381
1%
13.
iOS / 7.0.3
3,528
1%
14.
iOS / 7.0.2
3,062
1%
15.
iOS / 5.1.1
2,956
1%
16.
iOS / 7.0
2,872
1%
17.
Android / 9.8.2O-72_VZW-16-5
2,766
1%
18.
Android / JRO03C
2,740
1%
19.
Android / IMM76I
2,428
1%
20.
Android / JDQ39B
2,209
1%
21.
Android / SU2-3
1,965
1%
22.
Android / 9.8.1Q-94
1,918
1%
23.
Android / 9.8.1Q-94-1
1,412
<1%
24.
Android / MASTER
1,270
<1%
25.
iOS / 6.1.6
936
<1%
26.
iOS / 6.1.4
935
<1%
27.
Android / JOP40D
875
<1%
28.
iOS / 7.1.1
679
<1%
29.
iOS / 6.0.1
660
<1%
30.
Android / JRO03H
631
<1%
31.
Android / JRO03L
631
<1%
32.
Android / IML77
605
<1%
33.
Android / GRJ22
587
<1%
34.
Android / GRK39F
554
<1%
35.
Android / KOT49I.LS980ZVC
538
<1%
36.
iOS / 6.1.2
526
<1%
37.
Android / KOT49I.D80120a
482
<1%
38.
Android / KXA20.16-1.25.2
417
<1%
39.
Android / 9.8.2O-72_VZW-22
408
<1%
40.
Android / 9.8.0Q-97_MB886_FFW-20
373
<1%
41.
iOS / 6.0
351
<1%
42.
iOS / 6.1
324
<1%
43.
Android / 9.8.2O-72_VZW-18-9
316
<1%
44.
Android / KXA20.16-1.31.1
307
<1%
45.
Android / KOT49I.D80020c
305
<1%
46.
Android / 10.3.1.E.0.191
278
<1%
47.
Android / 14.2.C.0.159
245
<1%
48.
Android / GRJ90
242
<1%
49.
Android / JSS15Q
235
<1%
50.
Android / KVT49L
230
<1%
51.
Android / FROYO
187
<1%
52.
Android / HuaweiY301A1
186
<1%
53.
Android / 9.8.2Q-50_SLS-13
174
<1%
54.
Android / JWR66Y
167
<1%
55.
Android / 13.9.0Q2.X-178-RW-17
160
<1%
56.
Android / JWR67B
157
<1%
57.
Android / KOT49I.D80020k
150
<1%
58.
Android / 9.8.2O-72_VZW-18-8
136
<1%
59.
Android / JZO54M
134
<1%
60.
Android / 4.5.1_57_DX9-10
130
<1%
61.
Android / KXA20.16-1.32
125
<1%
62.
Android / 4.5.1A-1_SUN-254_13
116
<1%
63.
Android / 4.5.1A-DTN-200-18
116
<1%
64.
Android / KXA20.16-1.27
109
<1%
65.
Android / JLS36I
107
<1%
66.
Android / HuaweiU8686
105
<1%
67.
Android / HuaweiM931
104
<1%
68.
Android / 10.3.1.C.0.136
102
<1%
69.
Android / GRI40
102
<1%
70.
Android / KXB20.9-1.10-1.20
100
<1%
71.
Android / C811M050
97
<1%
72.
Android / HuaweiH881C
95
<1%
73.
Android / JDQ39E
95
<1%
74.
Android / ZV5.GWK74
94
<1%
75.
Android / 9.8.2O-72_VZW-16
86
<1%
76.
Android / HuaweiU8665B037
86
<1%
77.
iOS / 5.1
85
<1%
78.
Android / C811M040
83
<1%
79.
Android / ZVK.IMM76D
83
<1%
80.
Android / HMJ37
81
<1%
81.
Android / KXB20.9-1.10-1.18-1.1
81
<1%
82.
Android / KXB20.9-1.10-1.18
77
<1%
83.
Android / HuaweiY301A2
76
<1%
84.
iOS / 6.0.2
76
<1%
85.
Android / KOT49I.VS98024A
73
<1%
86.
Android / KXB20.9-1.10-1.24-1.1
73
<1%
87.
Android / 6.7.2-226-EDICS-10
70
<1%
88.
Android / 13.11.1Q2.X-69-3
69
<1%
89.
iOS / 7.0.1
69
<1%
90.
Android / 9.1.F.1.120
62
<1%
91.
Android / HuaweiU8730
62
<1%
92.
iOS / 6.1.5
61
<1%
93.
Android / 5.5.1_84_D3G-66_M2-10
59
<1%
94.
Android / 9.8.2Q-50_SLS-14
57
<1%
95.
Android / KXA20.16-1.25
57
<1%
96.
Android / ECLAIR
56
<1%
97.
Android / JRO03R
56
<1%
98.
Android / 4.5.1A_SUN_USC_19.0
55
<1%
99.
Android / 10.1.1.B.0.166
51
<1%
100.
Android / 9.8.2Q-122_XT897_FFW-5
51
<1%
See top 100 OS versions

Visit Sources

The percentage of visits from all apps in this network in the past 30 days.

The percentage of visits to BigOven 250,000+ Recipes and Grocery List by version in the past 30 days.

| Versions of BigOven 250,00…
BigOven 250,000+ Recipes and Grocery List   100%
3.6.5 (Android)   35%
5.3 (iOS)   21%
3.6.4 (Android)   18%
5.2 (iOS)   5%
5.4 (iOS)   4%
5.1 (iOS)   2%
4.42 (iOS)   2%
3.3.6 (Android)   2%
3.6.0.5 (Android)   2%
3.6.3 (Android)   2%

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People from Sites & Syndicators

These percentages usually sum greater than 100% due to overlap in site and syndicated audiences.

Reading Demographic Graphs

1. Index

This compares audience composition of the site or mobile app to each platform population. The higher the index number, the more concentrated the property is in a particular demographic.

As an example, if a property indexes 100 for age 18-24, that means a given visitor to it is as likely to be 18-24 as any internet user chosen at random. An index of 200 means the visitor is twice as likely to be 18-24, 50 means half as likely, and so on.

2. Segments are represented with icons. Segments include gender, age, household income, and education.

3. Very High Indexes (over 200) are denoted with a plus symbol.

4. Internet Average is represented by the dotted vertical line.



Reading Demographic Graphs

This compares audience composition of the site or mobile app to each platform population. The higher the index number, the more concentrated the property is in a particular demographic.

As an example, if a property indexes 100 for age 18-24, that means a given visitor to it is as likely to be 18-24 as any internet user chosen at random. An index of 200 means the visitor is twice as likely to be 18-24, 50 means half as likely, and so on.

1. Segment refers to the demographic composition attribute.

2. Very High Indexes (over 200) are denoted with a plus symbol.

3. Internet Average is represented by the dotted vertical line.

4. Expand the data to see the numbers which make up the index calculation.


The expanded view shows the percentage composition, the Internet average and the multiple.

1. A Colored Bar indicates that a segment exceeds the Internet average, whereas a gray bar indicates the segment is below the Internet average. Internet average is represented by the dotted vertical line.

2. A Multiple is the percentage of the segment on this property divided by the average of the same segment on the entire Internet.

Example:
80% female segment on property ÷ 32% female internet average = 2.5x


This chart breaks down the property's audience for a demographic. All the segments collectively equal 100%.

As an example, if a property indexes 100 for age 18-24, that means a given visitor to it is as likely to be 18-24 as any internet user chosen at random. An index of 200 means the visitor is twice as likely to be 18-24, 50 means half as likely, and so on.

1. The Top-Indexing Segment is shown in color.



Understanding User Retention

This graph examines user retention patterns for a mobile app, which tells the story of how much of app's user base continues to use the app after installation over time.

1. The x-axis is comprised of cohorts based on when users installed the app. For example, if we look at the column "+3 Days", this means that regardless of whether users installed the app a week ago or a month ago, what ratio of these users have returned within three days after installation.

2. The gray bars indicate the average retention rate across all days the app was downloaded.

3. The yellow line represents the average retention rate by period of all apps measured by Quantcast.

4. Install grouping details can be found by clicking on the down arrow.

In the expanded view, each row shows the retention patterns based on a point in time. Click on each row to compare that cohort against the average of all users installing the app.

1. The average day row shows the general retention rate for the entire app.

2. The highlighted row shows the retention rate compared against the average. In this example, 29% of users who installed the app one month ago returned at some point within two days, compared to the average of 35%.

3. The Add Date button allows you to add custom dates to determine retention patterns.

4. The Close button collapses the details and returns you to the default view.



Understanding Visit Frequency

This chart shows the number of return visits for unique users over the last 30 days.

1. Toggle between visit patterns of Logged In and Non Logged In users. In order to enable the toggle, the publisher must designate that the app has a logged in user base. The Logged In number represents the visit frequency of users that have logged in order to use this app.

3. For example, over the last 30 days, 3,644 unique users visited 4-7 times.


Understanding Return Usage of Logged in Users

Digital brand offerings span across many device types and media channels. Quantcast allows brands to measure mobile web, online and app traffic. This feature allows a network property to demonstrate how logged in users migrate between these various platforms.

1. First Platform and First Cohort allow you to isolate a platform — for example mobile apps — and examine how users that start on mobile return over time to online, mobile web, apps or all of these platforms. The first cohort time range is for selecting a group of users you would like to track — for instance all users first seen within the course of a particular week an online ad campaign. Once defined, you can explore how this defined group of users returned, by platform, over time. A first-seen cohort may span up to 30 days.

2. Display Options allows you to choose available platforms to show return visits. More than one platform means that the logged in user returned on more than one platform (such as mobile apps and online) within the time period viewed. You can also select the amount of data points to review — 30, 60, or 90 days worth.

1. Bundled advertising inventory
Media properties often bundle together advertising inventory across platforms into a single package for their clients. By showing that customers are continuously engaged across multiple platforms, networks can demonstrate what packaging options make the most sense in all of the contexts and formats these platforms provide.

2. Measure efforts to migrate an audience from one platform to another
This feature is a great way to isolate marketing efforts made to drive usage from one platform to another by looking at historical changes in platform adoption.

3. Compare return usages nuances between platforms
Understand the nuances of usage pattern of customers on a particular platforms for product development decisions.



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Create a Network

If you have multiple Websites or Mobile Apps, you can create a network to aggregate all of your data under a single property. This name will be publicly viewable.