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

 

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Updated Apr 18, 2014 • Next: Apr 19, 2014 by 9AM PDT
Last Month
For Mar 19, 2014 - Apr 17, 2014
Uniques Visits Installs Upgrades
BigOven 250,000+ Recipes and Grocery List 3.6.4 (Android) 88,866 329,241 16,718 54,793
BigOven 250,000+ Recipes and Grocery List 3.6.5 (Android) 81,170 310,182 16,945 64,341
BigOven 250,000+ Recipes and Grocery List 5.3 (iOS) 79,797 195,358 23,065 57,762
BigOven 250,000+ Recipes and Grocery List 5.2 (iOS) 58,802 129,277 14,903 22,131
BigOven 250,000+ Recipes and Grocery List 5.4 (iOS) 12,400 23,565 2,763 9,634
See all 35 versions

US Demographics:   [ Mobile App ]

See All
Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
index
 
 
Male
 
  80
Female
 
 
119
 
 
 
< 18
 
  91
18-24
 
  96
25-34
 
 
121
35-44
 
 
109
45-54
 
  97
55-64
 
  87
65+
 
  72
 
 
 
No Kids
 
 
118
Has Kids
 
  82
 
US average
index
 
 
$0-50k
 
 
104
$50-100k
 
 
100
$100-150k
 
  92
$150k+
 
  89
 
 
 
No College
 
  80
College
 
 
119
Grad School
 
 
110
 
 
 
Caucasian
 
 
110
African American
 
  70
Asian
 
  65
Hispanic
 
  65
Other
 
  96
 
US average


Updated Apr 12, 2014 • Next: Apr 23, 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
430 days total
1,929,142 installs
100%
62%
59%
52%
47%
39%
21%
9%
6 months ago
October 19, 2013
5,283 installs
100%
65%
62%
55%
49%
42%
24%
3 months ago
January 19, 2014
6,112 installs
100%
57%
54%
48%
42%
31%
1 month ago
March 19, 2014
3,007 installs
100%
45%
42%
32%
23%
2 weeks ago
April 5, 2014
2,954 installs
100%
35%
29%
17%
1 week ago
April 12, 2014
2,480 installs
100%
26%
18%

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   113,486
2-3   56,065
4-7   21,964
8-15   7,763
16-31   2,693
32-63   889
64-127   313
128-255   113
256-511   42
512+   14
1   37,717
2-3   42,270
4-7   27,473
8-15   17,561
16-31   10,245
32-63   5,429
64-127   2,543
128-255   1,072
256-511   381
512+   140

Top Countries

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

countries Visits % Of Total
1.
United States
1,215,960
74%
2.
Canada
103,134
6%
3.
United Kingdom
90,102
6%
4.
Australia
45,923
3%
5.
India
34,426
2%
6.
South Africa
10,957
1%
7.
Philippines
9,811
1%
8.
Ireland
8,512
1%
9.
Malaysia
7,708
<1%
10.
New Zealand
6,814
<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
30,167
10%
2.
iPhone 4S
24,827
8%
3.
iPad 2
20,337
7%
4.
iPhone 5S
17,648
6%
5.
iPhone 4
12,034
4%
6.
SCH-I535
9,033
3%
7.
iPad 4th Gen
8,415
3%
8.
iPad 3rd Gen
8,341
3%
9.
SCH-I545
7,649
2%
10.
iPhone 5C
7,636
2%
11.
SPH-L710
7,422
2%
12.
iPad mini
7,089
2%
13.
iPad Air
5,917
2%
14.
SAMSUNG-SGH-I337
5,648
2%
15.
SAMSUNG-SGH-I747
5,503
2%
16.
SGH-M919
4,591
1%
17.
SPH-L720
4,265
1%
18.
Nexus 7
3,927
1%
19.
SGH-T999
3,119
1%
20.
DROID RAZR
2,944
1%
21.
iPad
2,510
1%
22.
SM-N900V
2,485
1%
23.
BNTV600
2,426
1%
24.
SAMSUNG-SM-N900A
2,399
1%
25.
SM-N900T
2,324
1%
26.
KFTT
2,214
1%
27.
SCH-I605
2,142
1%
28.
BNTV400
1,921
1%
29.
XT907
1,871
1%
30.
HTC One
1,688
1%
31.
SAMSUNG-SGH-I537
1,625
1%
32.
XT1080
1,583
1%
33.
DROID RAZR HD
1,581
1%
34.
SAMSUNG-SGH-I317
1,547
<1%
35.
SM-N900P
1,528
<1%
36.
SM-T210R
1,463
<1%
37.
SPH-L900
1,452
<1%
38.
iPod touch
1,433
<1%
39.
GT-P3113
1,346
<1%
40.
BNTV250
1,336
<1%
41.
BNRV200
1,263
<1%
42.
GT-P5113
1,241
<1%
43.
GT-P5210
1,220
<1%
44.
SGH-T889
1,207
<1%
45.
SGH-T999L
1,178
<1%
46.
SGH-T989
1,148
<1%
47.
SCH-S738C
1,086
<1%
48.
Nexus 5
1,072
<1%
49.
SPH-D710
1,072
<1%
50.
HTCONE
1,049
<1%
51.
KFTHWI
1,039
<1%
52.
iPad mini with Retina display
1,033
<1%
53.
SCH-R970
1,030
<1%
54.
LG-LS980
1,021
<1%
55.
KFSOWI
1,015
<1%
56.
SM-T217S
979
<1%
57.
VS980 4G
956
<1%
58.
KFJWI
901
<1%
59.
GT-N8013
900
<1%
60.
Galaxy Nexus
841
<1%
61.
SCH-R530U
833
<1%
62.
BNTV250A
830
<1%
63.
HTC6435LVW
767
<1%
64.
Nexus 4
754
<1%
65.
LG-E980
743
<1%
66.
SM-T310
736
<1%
67.
iPhone 3GS
734
<1%
68.
Kindle Fire
688
<1%
69.
LG-MS770
685
<1%
70.
HTC6500LVW
673
<1%
71.
LG-LS970
661
<1%
72.
EVO
632
<1%
73.
ALCATEL ONE TOUCH Fierce
614
<1%
74.
KFOT
613
<1%
75.
LG-D801
572
<1%
76.
GT-N5110
561
<1%
77.
SM-P600
534
<1%
78.
HTC One X
533
<1%
79.
DROID4
492
<1%
80.
NX008HD8G
472
<1%
81.
DROID BIONIC
446
<1%
82.
LG-D800
445
<1%
83.
LG-P769
441
<1%
84.
XT1060
434
<1%
85.
SAMSUNG-SGH-I527
425
<1%
86.
XT1030
417
<1%
See all 86 device models

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

connections Visits % Of Total
1.
WiFi
778,298
64%
2.
Cellular Data
416,922
34%
3.
No Internet Connection
20,740
2%

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

carriers Visits % Of Total
1.
WiFi
778,298
64%
2.
AT&T
106,665
9%
3.
Verizon Wireless
102,880
8%
4.
Sprintcom Inc
74,010
6%
5.
T-Mobile USA
69,541
6%
6.
Unspecified US Carrier
35,998
3%
7.
Disconnected
20,740
2%
8.
Unrecognized Carrier
9,357
1%
9.
US Cellular
6,123
1%
10.
Metro PCS Wireless Inc
4,062
<1%
11.
Cricket Communications
3,602
<1%
12.
Cellular South Inc
915
<1%
13.
Not Reported
783
<1%
14.
North East Cellular Inc.
323
<1%
15.
nTELOS Communications Inc (Virginia PCS Alliance LC)
302
<1%
16.
Tracfone Wireless
280
<1%
17.
GCI Communications Corp.
249
<1%
18.
Cincinnati Bell Wireless LLC
226
<1%
19.
Digicel Ltd
215
<1%
20.
Iowa Wireless Services LLC
208
<1%
21.
Virgin Mobile
149
<1%
22.
New Cell Inc. dba Cellcom
149
<1%
23.
T-Mobile Deutschland GmbH
105
<1%
24.
Union Telephone Company
94
<1%
25.
Celcom (Malaysia) Berhad
92
<1%
26.
Cellular Properties Inc.
62
<1%
27.
AWCC
55
<1%
28.
MTPCS LLC
47
<1%
29.
CTC Telecom Inc
41
<1%
30.
Smith Bagley Inc, dba Cellular One
37
<1%
31.
MTA Communications dba MTA Wireless
25
<1%
32.
Pine Telephone Company dba Pine Cellular
23
<1%
33.
Bluegrass Cellular LLC
20
<1%
34.
New Mexico RSA 4 East Ltd. Partnership
20
<1%
35.
SETEL GSM
20
<1%
36.
Nex-Tech Wireless LLC
18
<1%
37.
France Telecom España, SA
16
<1%
38.
Choice Phone LLC
12
<1%
39.
Carolina West Wireless
11
<1%
40.
Nextel Communications Inc
11
<1%
41.
Alaska Communications
10
<1%
42.
Globe Telecom
9
<1%
43.
Rogers Wireless
9
<1%
44.
Mobile Telesystems
8
<1%
45.
China Unicom
7
<1%
46.
Illinois Valley Cellular
7
<1%
47.
Movistar
7
<1%
48.
Bharti Airtel Ltd., Delhi
6
<1%
49.
Wisconsin RSA#7 Ltd Patnership
6
<1%
50.
Commnet Wireless LLC
6
<1%
51.
GoMobile SamoaTel Ltd
6
<1%
52.
T-Mobile UK
6
<1%
53.
Telcel
6
<1%
54.
Orange France
5
<1%
55.
Telecom Italia Mobile (TIM)
4
<1%
56.
West Central Wireless
4
<1%
57.
CentennialDominicana
4
<1%
58.
Corr Wireless Communications LLC
4
<1%
59.
CYTA
4
<1%
60.
Indigo Wireless, Inc.
4
<1%
61.
North Dakota Network Co.
4
<1%
62.
Azules y Platas S.A.
4
<1%
63.
TotalSolutions Telecom LLC
3
<1%
64.
Wireless Communications Venture
3
<1%
65.
California RSA No3 Ltd Partnership dba Golden State Cellular
3
<1%
66.
Telekom Network Ltd.
2
<1%
67.
Vodafone D2 GmbH
2
<1%
68.
Vodafone Libertel N.V.
2
<1%
69.
Alltel
2
<1%
70.
Du
2
<1%
71.
Bouygues Telecom Caraïbe
2
<1%
72.
Cable & Wireless (BVI) Ltd
2
<1%
73.
Celtel Zambia Ltd.
2
<1%
74.
H3G
2
<1%
75.
Leaco Rural Telephone Company Inc
2
<1%
76.
Rural Cellular Corporation
2
<1%
77.
Telems Cel
1
<1%
78.
Telstra Corporation Ltd.
1
<1%
79.
Telus Mobility
1
<1%
80.
Iusacell / Unefon
1
<1%
81.
Bouygues Telecom
1
<1%
82.
Bug Tussel Wireless LLC
1
<1%
83.
Chariton Valley Communications Corp., Inc.
1
<1%
84.
Corporación Digitel
1
<1%
85.
Digicel Trinidad and Tobago Ltd.
1
<1%
86.
Inland Cellular Telephone Company
1
<1%
87.
Kaplan Telephone Company Inc.
1
<1%
88.
Northeast Wireless Networks LLC
1
<1%
89.
NTT DoCoMo Hokuriku Inc.
1
<1%
90.
Omnitel Pronto Italia (OPI)
1
<1%
91.
SK Telecom
1
<1%
See all 91 carriers

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

OS versions Uniques % Of Total
1.
iOS / 7.1
91,204
29%
2.
Android / JSS15J
50,022
16%
3.
Android / JZO54K
22,638
7%
4.
iOS / 7.0.4
19,529
6%
5.
iOS / 7.0.6
19,310
6%
6.
Android / JDQ39
19,095
6%
7.
Android / KOT49H
18,888
6%
8.
Android / IMM76D
5,527
2%
9.
iOS / 6.1.3
5,477
2%
10.
Android / GINGERBREAD
5,354
2%
11.
Android / IMM76L
4,774
2%
12.
Android / IML74K
4,381
1%
13.
iOS / 7.0.3
3,758
1%
14.
iOS / 7.0.2
3,249
1%
15.
iOS / 5.1.1
3,067
1%
16.
iOS / 7.0
3,050
1%
17.
Android / JRO03C
2,863
1%
18.
Android / 9.8.2O-72_VZW-16-5
2,842
1%
19.
Android / IMM76I
2,540
1%
20.
Android / JDQ39B
2,474
1%
21.
Android / SU2-3
1,982
1%
22.
Android / 9.8.1Q-94
1,964
1%
23.
Android / 9.8.1Q-94-1
1,427
<1%
24.
Android / MASTER
1,281
<1%
25.
iOS / 6.1.4
950
<1%
26.
iOS / 6.1.6
945
<1%
27.
Android / JOP40D
932
<1%
28.
iOS / 6.0.1
679
<1%
29.
Android / JRO03L
661
<1%
30.
Android / JRO03H
653
<1%
31.
Android / IML77
626
<1%
32.
Android / GRJ22
605
<1%
33.
Android / GRK39F
583
<1%
34.
iOS / 6.1.2
550
<1%
35.
Android / KOT49I.D80120a
470
<1%
36.
Android / KXA20.16-1.25.2
425
<1%
37.
Android / 9.8.2O-72_VZW-22
421
<1%
38.
Android / KOT49I.LS980ZVC
393
<1%
39.
Android / 9.8.0Q-97_MB886_FFW-20
384
<1%
40.
iOS / 6.0
354
<1%
41.
Android / 9.8.2O-72_VZW-18-9
337
<1%
42.
iOS / 6.1
334
<1%
43.
Android / KOT49I.D80020c
327
<1%
44.
Android / 10.3.1.E.0.191
291
<1%
45.
Android / KXA20.16-1.31.1
266
<1%
46.
Android / GRJ90
260
<1%
47.
Android / JSS15Q
248
<1%
48.
Android / 14.2.C.0.159
242
<1%
49.
Android / KVT49L
207
<1%
50.
Android / FROYO
203
<1%
51.
Android / HuaweiY301A1
198
<1%
52.
Android / 9.8.2Q-50_SLS-13
183
<1%
53.
Android / JWR66Y
178
<1%
54.
Android / 13.11.1Q2.X-69-3
173
<1%
55.
Android / 13.9.0Q2.X-178-RW-17
161
<1%
56.
Android / JWR67B
158
<1%
57.
Android / JZO54M
147
<1%
58.
Android / 4.5.1_57_DX9-10
141
<1%
59.
Android / 9.8.2O-72_VZW-18-8
138
<1%
60.
Android / KXA20.16-1.32
123
<1%
61.
Android / 4.5.1A-DTN-200-18
121
<1%
62.
Android / 4.5.1A-1_SUN-254_13
119
<1%
63.
Android / 10.3.1.C.0.136
111
<1%
64.
Android / HuaweiM931
111
<1%
65.
Android / JLS36I
111
<1%
66.
Android / HuaweiH881C
108
<1%
67.
Android / HuaweiU8686
107
<1%
68.
Android / C811M040
105
<1%
69.
Android / KXA20.16-1.27
105
<1%
70.
Android / GRI40
103
<1%
71.
Android / KOT49I.D80020k
103
<1%
72.
Android / ZV5.GWK74
100
<1%
73.
Android / JDQ39E
99
<1%
74.
Android / KXB20.9-1.10-1.20
95
<1%
75.
Android / 9.8.2O-72_VZW-16
93
<1%
76.
Android / HuaweiU8665B037
91
<1%
77.
Android / ZVK.IMM76D
91
<1%
78.
Android / HuaweiY301A2
87
<1%
79.
iOS / 5.1
86
<1%
80.
Android / HMJ37
85
<1%
81.
Android / C811M050
83
<1%
82.
Android / KXB20.9-1.10-1.18
83
<1%
83.
iOS / 6.0.2
80
<1%
84.
iOS / 6.1.5
74
<1%
85.
Android / 6.7.2-226-EDICS-10
73
<1%
86.
Android / HuaweiU8730
73
<1%
87.
Android / KXB20.9-1.10-1.24-1.1
72
<1%
88.
iOS / 7.0.1
68
<1%
89.
Android / 5.5.1_84_D3G-66_M2-10
67
<1%
90.
Android / 9.8.2Q-122_XT897_FFW-5
61
<1%
91.
Android / 9.8.2Q-50_SLS-14
60
<1%
92.
Android / ECLAIR
60
<1%
93.
Android / 14.10.0Q3.X-84-9
59
<1%
94.
Android / JRO03R
57
<1%
95.
Android / KXA20.16-1.25
57
<1%
96.
Android / 9.1.F.1.120
56
<1%
97.
Android / 4.5.1A_SUN_USC_19.0
55
<1%
98.
Android / FRG83G
55
<1%
99.
Android / KRT16S
54
<1%
100.
Android / KXB20.9-1.10-1.18-1.1
54
<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%
3.6.4 (Android)   27%
3.6.5 (Android)   26%
5.3 (iOS)   16%
5.2 (iOS)   11%
3.6.0.5 (Android)   2%
5.1 (iOS)   2%
3.6.3 (Android)   2%
3.3.6 (Android)   2%
4.42 (iOS)   2%
5.4 (iOS)   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.