BigOven Network

Monthly Uniques
527.2K US 743.5K Global

BigOven 350,000+ Recipes and Grocery List Mobile App

144.1K US 212.3K Global


Updated Sep 3, 2015 • Next: Sep 4, 2015 by 9AM PDT
Last Month
For Aug 4, 2015 - Sep 2, 2015
Uniques Visits Installs Upgrades
BigOven 350,000+ Recipes and Grocery List 6.3 (iOS) 60,820 175,868 11,908 13,305
BigOven 350,000+ Recipes and Grocery List 4.2.3 (Android) 47,048 143,458 11,850 7,766
BigOven 350,000+ Recipes and Grocery List 6.2 (iOS) 26,535 70,181 3,435 6,627
BigOven 350,000+ Recipes and Grocery List 3.6.4 (Android) 1,480 6,778 369 61
BigOven 350,000+ Recipes and Grocery List 6.1 (iOS) 1,196 2,878 10 241
See all 156 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  77
Female
 
 
122
 
 
 
< 18
 
  57
18-24
 
  69
25-34
 
  98
35-44
 
 
107
45-54
 
 
117
55-64
 
 
150
65+
 
 
151
 
 
 
No Kids
 
 
104
Has Kids
 
  96
 
US Average
Index
 
 
$0-50k
 
  90
$50-100k
 
 
108
$100-150k
 
 
122
$150k+
 
 
101
 
 
 
No College
 
  82
College
 
 
116
Grad School
 
 
112
 
 
 
Caucasian
 
 
111
African American
 
  69
Asian
 
  46
Hispanic
 
  64
Other
 
  92
 
US Average


Updated Aug 30, 2015 • Next: Sep 9, 2015 by 9AM PDT

Audience Interests


Top Interests

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Interests

These content topics represent the interests of a property's users based on their browsing behavior.

Affinity Index

This index measures how much more likely someone who visits this property is to be interested in a given topic compared to the average internet user.

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Top Sites

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Sites

This index measures how much more likely someone from this property is to visit the site listed compared to the average internet user.

Affinity Index

This index measures how much more likely someone from this property is to visit the site listed compared to the average internet user.

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Updated Aug 30, 2015 • Next: Sep 9, 2015 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
933 days total
3,033,788 installs
100%
61%
58%
52%
47%
40%
26%
16%
6 months ago
March 4, 2015
1,286 installs
100%
43%
39%
33%
29%
24%
14%
3 months ago
June 4, 2015
1,669 installs
100%
46%
42%
35%
30%
22%
1 month ago
August 4, 2015
1,765 installs
100%
39%
33%
24%
18%
2 weeks ago
August 21, 2015
1,492 installs
100%
34%
27%
15%
1 week ago
August 28, 2015
1,480 installs
100%
24%
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   40,757
2-3   12,504
4-7   3,816
8-15   1,371
16-31   515
32-63   183
64-127   63
128-255   21
256-511   18
512+   9
1   48,813
2-3   26,924
4-7   12,984
8-15   6,689
16-31   3,493
32-63   1,565
64-127   720
128-255   328
256-511   97
512+   43

Top Countries

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

countries Visits % Of Total
1.
United States
425,058
74%
2.
Canada
34,189
6%
3.
United Kingdom
33,063
6%
4.
Australia
16,740
3%
5.
India
10,275
2%
6.
South Africa
3,896
1%
7.
Philippines
3,349
1%
8.
Malaysia
2,520
<1%
9.
New Zealand
2,399
<1%
10.
China
2,260
<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 6
20,860
14%
2.
iPhone 5S
13,544
9%
3.
iPhone 6 Plus
8,987
6%
4.
iPad 2
8,283
6%
5.
iPhone 5
6,439
4%
6.
iPad Air
5,325
4%
7.
iPhone 5C
4,851
3%
8.
iPad 4th Gen
4,247
3%
9.
iPad mini
3,785
3%
10.
iPhone 4S
3,777
3%
11.
iPad 3rd Gen
3,716
3%
12.
iPad Air 2
3,062
2%
13.
SM-G900V
2,905
2%
14.
SAMSUNG-SM-G900A
1,877
1%
15.
iPhone 4
1,780
1%
16.
SCH-I545
1,721
1%
17.
iPad mini with Retina display
1,639
1%
18.
SM-G900P
1,285
1%
19.
SM-N910V
1,125
1%
20.
SM-G900T
1,015
1%
21.
SAMSUNG-SM-N910A
969
1%
22.
SAMSUNG-SGH-I337
956
1%
23.
XT1080
876
1%
24.
SM-G920V
864
1%
25.
SM-N900V
832
1%
26.
SM-N910T
822
1%
27.
SCH-I535
765
1%
28.
XT1254
743
1%
29.
SAMSUNG-SM-N900A
714
<1%
30.
BNTV600
675
<1%
31.
SAMSUNG-SM-G870A
670
<1%
32.
SM-N910P
623
<1%
33.
SM-N900T
617
<1%
34.
Nexus 7
609
<1%
35.
SGH-M919
568
<1%
36.
iPad
561
<1%
37.
iPad Mini 3
557
<1%
38.
SM-G920P
523
<1%
39.
VS985 4G
517
<1%
40.
BNTV400
503
<1%
41.
iPod touch
498
<1%
42.
SPH-L710
491
<1%
43.
SAMSUNG-SGH-I747
470
<1%
44.
Nexus 5
458
<1%
45.
SM-T230NU
455
<1%
46.
SPH-L720
446
<1%
47.
SM-T530NU
443
<1%
48.
SM-N900P
440
<1%
49.
KFTT
405
<1%
50.
BNTV250
402
<1%
51.
BNRV200
373
<1%
52.
LG-D850
367
<1%
53.
SAMSUNG-SM-G920A
362
<1%
54.
Z970
357
<1%
55.
HTC One_M8
321
<1%
56.
SM-G920T
306
<1%
57.
SM-G925V
281
<1%
58.
VS980 4G
279
<1%
59.
HTC6525LVW
267
<1%
60.
BNTV250A
262
<1%
61.
SPH-L720T
258
<1%
62.
LGLS990
246
<1%
63.
SCH-I605
241
<1%
64.
SAMSUNG-SM-G925A
234
<1%
65.
SM-G386T
233
<1%
66.
SCH-S968C
232
<1%
67.
LG-V410
230
<1%
68.
SGH-T999
226
<1%
69.
SM-T217S
225
<1%
70.
HTC One
224
<1%
71.
GT-P5113
222
<1%
72.
Nexus 6
222
<1%
73.
LG-D851
219
<1%
74.
GT-P5210
216
<1%
75.
SAMSUNG-SGH-I537
216
<1%
76.
SM-G900R4
215
<1%
77.
SM-T800
211
<1%
78.
SM-G925T
210
<1%
79.
GT-N8013
193
<1%
80.
SM-G386T1
193
<1%
81.
SM-T210R
187
<1%
82.
SAMSUNG-SM-G890A
176
<1%
83.
GT-P3113
170
<1%
84.
SCH-R970
170
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
295,696
70%
2.
Cellular Data
119,035
28%
3.
No Internet Connection
10,327
2%

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

carriers Visits % Of Total
1.
WiFi
295,696
70%
2.
AT&T
44,429
10%
3.
Verizon Wireless
34,906
8%
4.
T-Mobile USA
17,444
4%
5.
Sprintcom Inc
16,434
4%
6.
Disconnected
10,327
2%
7.
Unspecified US Carrier
2,096
<1%
8.
Unrecognized Carrier
1,342
<1%
9.
US Cellular
1,188
<1%
10.
Cellular South Inc
554
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
178
<1%
12.
T-Mobile Deutschland GmbH
72
<1%
13.
GCI Communications Corp.
63
<1%
14.
Tracfone Wireless
59
<1%
15.
Virgin Mobile
52
<1%
16.
North East Cellular Inc.
34
<1%
17.
Union Telephone Company
29
<1%
18.
Iowa Wireless Services LLC
21
<1%
19.
Smith Bagley Inc, dba Cellular One
13
<1%
20.
MTPCS LLC
11
<1%
21.
Cellular Properties Inc.
7
<1%
22.
New Mexico RSA 4 East Ltd. Partnership
7
<1%
23.
Not Reported
6
<1%
24.
Open Mobile
6
<1%
25.
Commnet Wireless LLC
5
<1%
26.
Cricket Communications
5
<1%
27.
GTA Wireless LLC
4
<1%
28.
Hutchinson Essar Ltd, Mumbai
4
<1%
29.
United Wireless Inc
3
<1%
30.
Etisalat
3
<1%
31.
Globe Telecom
3
<1%
32.
Illinois Valley Cellular
3
<1%
33.
Rogers Wireless
3
<1%
34.
Bell Mobility
3
<1%
35.
Telecommunication Company of Iran (TCI)
2
<1%
36.
Vodafone España, SAU
2
<1%
37.
Vodafone New Zealand GSM Network
2
<1%
38.
Carolina West Wireless
2
<1%
39.
Celcom (Malaysia) Berhad
2
<1%
40.
China Unicom
2
<1%
41.
NetAmerica Alliance LLC
2
<1%
42.
Oman Mobile Telecommunications Company (Oman Mobile)
2
<1%
43.
Saudi Telecom
2
<1%
44.
Smart Communications, Inc
2
<1%
45.
Telcel
2
<1%
46.
Telstra Corporation Ltd.
1
<1%
47.
Zain Bahrain
1
<1%
48.
Taiwan Mobile
1
<1%
49.
Fido Solutions
1
<1%
50.
Bluegrass Cellular LLC
1
<1%
51.
Advantage Cellular Systems, Inc.
1
<1%
52.
Cellular Network Partnership dba Pioneer Cellular
1
<1%
53.
Chariton Valley Communications Corp., Inc.
1
<1%
54.
Choice Phone LLC
1
<1%
55.
EMTS
1
<1%
56.
Excelcomindo
1
<1%
57.
GSM900/SmarTone
1
<1%
58.
Malaysian Mobile Services Sdn Bhd
1
<1%
59.
MTN Nigeria Communications
1
<1%
60.
Nep Cellcorp Inc.
1
<1%
61.
Nextel Communications Inc
1
<1%
62.
Northeast Wireless Networks LLC
1
<1%
63.
O2 UK Ltd.
1
<1%
64.
Orange Communications SA
1
<1%
65.
Orange Dominicana, S.A.
1
<1%
66.
Orange France
1
<1%
67.
PAK Telecom Mobile Ltd. (UFONE)
1
<1%
68.
Partner Communications Co. Ltd.
1
<1%
69.
SETEL GSM
1
<1%
70.
Sl Wireless LLC
1
<1%
71.
T-Mobile UK
1
<1%
See all 71 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.4
39,300
27%
2.
iOS / 8.4.1
29,274
20%
3.
iOS / 8.3
13,630
9%
4.
Android / 4.4.2
11,320
8%
5.
Android / 5.0
8,618
6%
6.
Android / 5.0.1
7,601
5%
7.
Android / 4.4.4
5,361
4%
8.
Android / 5.0.2
4,929
3%
9.
iOS / 7.1.2
4,760
3%
10.
Android / 5.1.1
4,258
3%
11.
iOS / 8.1.3
2,492
2%
12.
iOS / 8.1.2
2,306
2%
13.
iOS / 8.2
2,263
2%
14.
Android / 5.1
1,767
1%
15.
Android / 4.1.2
1,584
1%
16.
iOS / 7.1.1
1,515
1%
17.
iOS / 8.1
1,236
1%
18.
Android / 4.3
1,056
1%
19.
Android / 4.2.2
1,046
1%
20.
Android / IMM76L
1,014
1%
21.
iOS / 8.1.1
975
1%
22.
iOS / 7.0.4
828
1%
23.
Android / GINGERBREAD
810
1%
24.
iOS / 7.1
748
1%
25.
iOS / 8.0.2
622
<1%
26.
iOS / 5.1.1
613
<1%
27.
Android / IML74K
559
<1%
28.
Android / KOT49H
515
<1%
29.
Android / 4.0.4
486
<1%
30.
iOS / 9.0
383
<1%
31.
Android / MASTER
373
<1%
32.
iOS / 7.0.6
354
<1%
33.
iOS / 6.1.3
317
<1%
34.
iOS / 8.0
295
<1%
35.
Android / IMM76D
286
<1%
36.
iOS / 7.0.3
211
<1%
37.
Android / 4.1.1
202
<1%
38.
iOS / 7.0
201
<1%
39.
iOS / 7.0.2
177
<1%
40.
iOS / 6.1.6
163
<1%
41.
Android / JZO54K
161
<1%
42.
Android / 4.4
127
<1%
43.
Android / LRX21T
123
<1%
44.
Android / 4.2.1
110
<1%
45.
Android / JDQ39
107
<1%
46.
Android / 4.4.3
99
<1%
47.
Android / LRX22G
93
<1%
48.
Android / 4.0.3
83
<1%
49.
Android / KTU84P
69
<1%
50.
iOS / 6.0.1
57
<1%
51.
Android / JSS15J
52
<1%
52.
Android / LRX22C
52
<1%
53.
iOS / 6.1.4
47
<1%
54.
Android / LRX21V
31
<1%
55.
iOS / 6.1.2
30
<1%
56.
Android / JRO03C
26
<1%
57.
Android / 10.5.A.0.230
25
<1%
58.
iOS / 6.0
20
<1%
59.
Android / IMM76I
17
<1%
60.
Android / SU6-7.2
17
<1%
61.
Android / 9.8.2O-72_VZW-16-5
16
<1%
62.
Android / KDA20.62-15
13
<1%
63.
iOS / 6.1
13
<1%
64.
Android / FROYO
12
<1%
65.
Android / KVT49L
11
<1%
66.
iOS / 7.0.1
11
<1%
67.
Android / GRJ22
10
<1%
68.
Android / KTU84M
9
<1%
69.
Android / ECLAIR
8
<1%
70.
Android / KDA20.62-15.1
8
<1%
71.
Android / LMY47V
8
<1%
72.
Android / LRX21Y
8
<1%
73.
iOS / 6.0.2
8
<1%
74.
Android / JOP40D
7
<1%
75.
Android / KTU84L
7
<1%
76.
Android / 6.0
6
<1%
77.
Android / HMJ37
6
<1%
78.
Android / JRO03H
6
<1%
79.
Android / LMY47X
6
<1%
80.
iOS / 5.1
6
<1%
81.
Android / GRK39F
5
<1%
82.
Android / IML77
5
<1%
83.
Android / TISU0143
5
<1%
84.
Android / 10.3.1.C.0.136
4
<1%
85.
Android / 4.2
4
<1%
86.
Android / 4.3.1
4
<1%
87.
Android / C811M070
4
<1%
88.
Android / JRO03L
4
<1%
89.
Android / JWR66Y
4
<1%
90.
Android / LMY48I
4
<1%
91.
Android / 9.8.2O-72_VZW-22
3
<1%
92.
Android / FRG83G
3
<1%
93.
Android / GRJ90
3
<1%
94.
Android / HTJ85B
3
<1%
95.
Android / HTK55D
3
<1%
96.
Android / HuaweiU8730
3
<1%
97.
Android / HuaweiY301A1
3
<1%
98.
Android / JDQ39E
3
<1%
99.
Android / JSS15Q
3
<1%
100.
Android / M
3
<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 350,000+ Recipes and Grocery List by version in the past 30 days.

| Versions of BigOven 350,00…
BigOven 350,000+ Recipes and Grocery List   100%
6.3 (iOS)   41%
4.2.3 (Android)   34%
6.2 (iOS)   17%
3.6.4 (Android)   2%
3.7.4 (Android)   1%
3.3.6 (Android)   1%
6.1 (iOS)   1%
5.6 (iOS)   1%
4.30 (iOS)   <1%
4.42 (iOS)   <1%

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You have sent a request to this profile's owner to be able to see all hidden data on this profile. You will be notified via email when access has been granted.

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Getting Quantified means you get free, directly measured and reliable audience and traffic data for the web properties you manage. Non-Quantified sites are still listed, but the data shown is estimated.

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You can send a request to this publisher asking them to join the Quantcast Publisher Program. The publisher will be notified of your request via email. If and when the publisher decides to join, you will receive an email notification.

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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.