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BigOven Network

Monthly Uniques
567.0K US 789.9K Global

BigOven 350,000+ Recipes and Grocery List Mobile App

153.7K US 223.8K Global
  •  
  • Quantified

    Directly Measured Data

Related Links


Updated Mar 26, 2015 • Next: Mar 27, 2015 by 9AM PDT
Last Month
For Feb 24, 2015 - Mar 25, 2015
Uniques Visits Installs Upgrades
BigOven 350,000+ Recipes and Grocery List 6.2 (iOS) 64,368 186,966 28,336 6,533
BigOven 350,000+ Recipes and Grocery List 6.1 (iOS) 32,100 82,948 8,942 5,691
BigOven 350,000+ Recipes and Grocery List 4.1.0 (Android) 16,817 29,589 6,073 10,606
BigOven 350,000+ Recipes and Grocery List 4.0.8 (Android) 15,364 27,256 7,933 7,403
BigOven 350,000+ Recipes and Grocery List 4.0.9 (Android) 13,088 20,044 4,629 8,364
See all 123 versions

US Demographics:   [ Mobile App ]


Summary   ||   Gender   ||   Age   ||   Household   ||   Income   ||   Education   ||   Ethnicity
Index
 
 
Male
 
  75
Female
 
 
124
 
 
 
< 18
 
  67
18-24
 
  75
25-34
 
 
118
35-44
 
 
122
45-54
 
  99
55-64
 
 
114
65+
 
 
109
 
 
 
No Kids
 
  94
Has Kids
 
 
106
 
US Average
Index
 
 
$0-50k
 
  87
$50-100k
 
 
113
$100-150k
 
 
119
$150k+
 
 
104
 
 
 
No College
 
  74
College
 
 
124
Grad School
 
 
114
 
 
 
Caucasian
 
 
113
African American
 
  55
Asian
 
  55
Hispanic
 
  60
Other
 
  90
 
US Average


Updated Mar 22, 2015 • Next: Apr 1, 2015 by 9AM PDT

Audience Interests


Top Interests

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Interests

Audience Interests: Interests

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

Affinity Index

Interests 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

Audience Interests: 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

Site 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.

{{ col.name }} {{ col.index | number:1 }}x  

Updated Mar 22, 2015 • Next: Apr 1, 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
771 days total
2,720,213 installs
100%
62%
58%
52%
48%
41%
26%
16%
6 months ago
September 26, 2014
2,106 installs
100%
57%
54%
46%
41%
35%
15%
3 months ago
December 26, 2014
2,205 installs
100%
47%
44%
38%
33%
26%
1 month ago
February 26, 2015
1,531 installs
100%
32%
30%
21%
13%
2 weeks ago
March 12, 2015
3,713 installs
100%
46%
43%
27%
1 week ago
March 19, 2015
2,439 installs
100%
28%
22%

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   45,664
2-3   14,824
4-7   4,900
8-15   1,714
16-31   710
32-63   281
64-127   106
128-255   32
256-511   12
512+   14
1   48,502
2-3   28,017
4-7   12,109
8-15   5,798
16-31   2,754
32-63   1,327
64-127   577
128-255   295
256-511   113
512+   40

Top Countries

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

countries Visits % Of Total
1.
United States
427,702
74%
2.
Canada
40,142
7%
3.
United Kingdom
32,233
6%
4.
Australia
15,099
3%
5.
India
14,318
2%
6.
South Africa
3,781
1%
7.
Philippines
3,092
1%
8.
Ireland
2,556
<1%
9.
New Zealand
2,212
<1%
10.
Malaysia
2,099
<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 5S
16,346
11%
2.
iPhone 6
15,373
10%
3.
iPad 2
11,450
7%
4.
iPhone 5
10,742
7%
5.
iPhone 4S
6,918
5%
6.
iPhone 6 Plus
6,667
4%
7.
iPhone 5C
6,256
4%
8.
iPad Air
6,248
4%
9.
iPad 4th Gen
5,535
4%
10.
iPad 3rd Gen
5,145
3%
11.
iPad mini
5,072
3%
12.
iPhone 4
3,188
2%
13.
SM-G900V
2,574
2%
14.
iPad Air 2
2,411
2%
15.
SCH-I545
2,228
1%
16.
iPad mini with Retina display
1,723
1%
17.
SAMSUNG-SM-G900A
1,381
1%
18.
SCH-I535
1,322
1%
19.
SAMSUNG-SGH-I337
1,188
1%
20.
SM-G900P
1,120
1%
21.
BNTV600
1,035
1%
22.
iPad
983
1%
23.
SM-G900T
976
1%
24.
SM-N900V
859
1%
25.
SPH-L710
853
1%
26.
XT1080
837
1%
27.
KFTT
794
1%
28.
SPH-L720
744
<1%
29.
Nexus 7
732
<1%
30.
SAMSUNG-SM-N900A
730
<1%
31.
BNTV400
722
<1%
32.
SGH-M919
718
<1%
33.
SM-N910V
706
<1%
34.
SAMSUNG-SGH-I747
702
<1%
35.
iPod touch
670
<1%
36.
SM-N900T
603
<1%
37.
BNTV250
592
<1%
38.
BNRV200
568
<1%
39.
SAMSUNG-SM-N910A
567
<1%
40.
SM-N900P
496
<1%
41.
SAMSUNG-SM-G870A
477
<1%
42.
SM-N910T
455
<1%
43.
SM-T230NU
436
<1%
44.
VS985 4G
425
<1%
45.
SM-N910P
399
<1%
46.
SM-T530NU
387
<1%
47.
VS980 4G
343
<1%
48.
XT1254
341
<1%
49.
BNTV250A
339
<1%
50.
KFJWI
339
<1%
51.
SCH-I605
337
<1%
52.
SGH-T999
319
<1%
53.
HTC One
292
<1%
54.
HTC One_M8
290
<1%
55.
SAMSUNG-SGH-I537
285
<1%
56.
Nexus 5
284
<1%
57.
GT-P5113
270
<1%
58.
SM-T217S
269
<1%
59.
LG-D850
263
<1%
60.
SPH-L720T
261
<1%
61.
HTC6525LVW
247
<1%
62.
XT907
246
<1%
63.
GT-P5210
244
<1%
64.
KFOT
237
<1%
65.
SCH-R970
235
<1%
66.
iPad Mini 3
231
<1%
67.
DROID RAZR HD
228
<1%
68.
GT-P3113
228
<1%
69.
LG-D851
227
<1%
70.
HTCONE
223
<1%
71.
Kindle Fire
221
<1%
72.
GT-N8013
213
<1%
73.
SCH-S968C
202
<1%
74.
LG-LS980
201
<1%
75.
SPH-L900
200
<1%
76.
SM-T210R
199
<1%
77.
SAMSUNG-SGH-I317
195
<1%
78.
Z970
191
<1%
79.
iPhone 3GS
187
<1%
80.
LGLS990
186
<1%
81.
SM-G900R4
185
<1%
82.
HTC6500LVW
177
<1%
83.
SGH-T889
177
<1%
84.
SM-T310
172
<1%
See all 84 device models

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

connections Visits % Of Total
1.
WiFi
305,507
71%
2.
Cellular Data
108,310
25%
3.
No Internet Connection
13,885
3%

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

carriers Visits % Of Total
1.
WiFi
305,507
71%
2.
AT&T
43,634
10%
3.
Verizon Wireless
32,090
8%
4.
Sprintcom Inc
14,299
3%
5.
Disconnected
13,885
3%
6.
T-Mobile USA
12,360
3%
7.
Unspecified US Carrier
2,618
1%
8.
Unrecognized Carrier
1,071
<1%
9.
US Cellular
932
<1%
10.
Cellular South Inc
507
<1%
11.
nTELOS Communications Inc (Virginia PCS Alliance LC)
149
<1%
12.
Cricket Communications
103
<1%
13.
Metro PCS Wireless Inc
88
<1%
14.
GCI Communications Corp.
75
<1%
15.
T-Mobile Deutschland GmbH
60
<1%
16.
Virgin Mobile
59
<1%
17.
Tracfone Wireless
54
<1%
18.
North East Cellular Inc.
52
<1%
19.
Celcom (Malaysia) Berhad
40
<1%
20.
Iowa Wireless Services LLC
23
<1%
21.
Not Reported
14
<1%
22.
Bluegrass Cellular LLC
8
<1%
23.
SETEL GSM
8
<1%
24.
Cellular Properties Inc.
6
<1%
25.
Telecommunication Company of Iran (TCI)
5
<1%
26.
Du
5
<1%
27.
MTPCS LLC
5
<1%
28.
New Mexico RSA 4 East Ltd. Partnership
5
<1%
29.
Pine Telephone Company dba Pine Cellular
5
<1%
30.
Smith Bagley Inc, dba Cellular One
5
<1%
31.
Union Telephone Company
4
<1%
32.
United Wireless Inc
3
<1%
33.
West Central Wireless
2
<1%
34.
Carolina West Wireless
2
<1%
35.
Chariton Valley Communications Corp., Inc.
2
<1%
36.
Choice Phone LLC
2
<1%
37.
Digicel Ltd
2
<1%
38.
Etisalat
2
<1%
39.
GoMobile SamoaTel Ltd
2
<1%
40.
Optus Mobile Pty. Ltd.
2
<1%
41.
Telecom Italia Mobile (TIM)
1
<1%
42.
Telus Mobility
1
<1%
43.
Advantage Cellular Systems, Inc.
1
<1%
44.
Bug Tussel Wireless LLC
1
<1%
45.
China Unicom
1
<1%
46.
Meteor Mobile Communications Ltd.
1
<1%
47.
Smart Communications, Inc
1
<1%
See all 47 carriers

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

OS versions Uniques % Of Total
1.
iOS / 8.1.3
49,372
32%
2.
iOS / 8.2
24,321
16%
3.
Android / 4.4.2
16,842
11%
4.
iOS / 7.1.2
11,048
7%
5.
Android / 4.4.4
10,760
7%
6.
iOS / 8.1.2
10,365
7%
7.
iOS / 8.1
3,607
2%
8.
iOS / 8.1.1
3,506
2%
9.
iOS / 7.1.1
3,388
2%
10.
Android / 5.0
2,335
2%
11.
iOS / 8.0.2
2,125
1%
12.
Android / KOT49H
2,065
1%
13.
iOS / 7.0.4
1,848
1%
14.
Android / 4.1.2
1,776
1%
15.
iOS / 7.1
1,624
1%
16.
Android / IMM76L
1,510
1%
17.
Android / 5.0.1
1,315
1%
18.
Android / GINGERBREAD
1,235
1%
19.
Android / IML74K
1,110
1%
20.
iOS / 5.1.1
1,081
1%
21.
Android / 4.2.2
1,034
1%
22.
Android / 4.3
986
1%
23.
iOS / 8.0
942
1%
24.
iOS / 7.0.6
855
1%
25.
iOS / 6.1.3
793
1%
26.
Android / 5.0.2
741
<1%
27.
Android / JZO54K
666
<1%
28.
Android / KTU84P
628
<1%
29.
Android / IMM76D
626
<1%
30.
Android / 4.0.4
612
<1%
31.
Android / MASTER
571
<1%
32.
iOS / 7.0.3
453
<1%
33.
iOS / 7.0
430
<1%
34.
iOS / 7.0.2
421
<1%
35.
Android / JDQ39
361
<1%
36.
Android / 5.1
337
<1%
37.
iOS / 6.1.6
327
<1%
38.
Android / 4.4.3
265
<1%
39.
Android / 4.1.1
245
<1%
40.
Android / JSS15J
224
<1%
41.
iOS / 6.1.4
144
<1%
42.
Android / LRX21T
109
<1%
43.
iOS / 6.0.1
106
<1%
44.
Android / 4.2.1
97
<1%
45.
Android / 4.4
97
<1%
46.
Android / 4.0.3
92
<1%
47.
iOS / 6.1.2
92
<1%
48.
Android / SU6-7
84
<1%
49.
Android / JRO03C
81
<1%
50.
Android / 9.8.2O-72_VZW-16-5
78
<1%
51.
Android / KDA20.62-15
74
<1%
52.
Android / IMM76I
70
<1%
53.
iOS / 6.1
52
<1%
54.
iOS / 6.0
51
<1%
55.
Android / KDA20.62-15.1
50
<1%
56.
Android / 10.5.A.0.230
43
<1%
57.
Android / KTU84L
35
<1%
58.
Android / LRX22G
35
<1%
59.
Android / JOP40D
34
<1%
60.
iOS / 8.3
33
<1%
61.
Android / JRO03H
31
<1%
62.
Android / KOT49I.VS98027A
31
<1%
63.
iOS / 6.0.2
26
<1%
64.
Android / LRX22C
25
<1%
65.
Android / FROYO
24
<1%
66.
Android / GRJ22
24
<1%
67.
Android / KVT49L
24
<1%
68.
Android / KTU84M
23
<1%
69.
Android / IML77
20
<1%
70.
Android / ECLAIR
19
<1%
71.
Android / JLS36C
19
<1%
72.
Android / LRX22F
19
<1%
73.
iOS / 7.0.1
17
<1%
74.
Android / JRO03L
16
<1%
75.
Android / KXA21.12-L1.26
16
<1%
76.
Android / C811M070
15
<1%
77.
Android / GRK39F
15
<1%
78.
Android / 9.8.2O-72_VZW-22
14
<1%
79.
Android / KOT49I.LS980ZVE
14
<1%
80.
Android / KXB21.14-L1.57
14
<1%
81.
Android / KOT49I.D41510e
13
<1%
82.
Android / KOT49I.V41010d
13
<1%
83.
Android / LRX21Y
13
<1%
84.
Android / 10.1.C.0.370
12
<1%
85.
iOS / 5.1
12
<1%
86.
Android / 9.8.0Q-97_MB886_FFW-28
11
<1%
87.
Android / HMJ37
11
<1%
88.
Android / KOT49I.D80120g
11
<1%
89.
Android / HTK55D
10
<1%
90.
Android / GRJ90
9
<1%
91.
Android / KVT49L.D85110r
8
<1%
92.
Android / 4.4.0
7
<1%
93.
Android / 9.8.2O-72_VZW-18-9
7
<1%
94.
Android / GRI40
7
<1%
95.
Android / HTJ85B
7
<1%
96.
Android / JDQ39B
7
<1%
97.
Android / JWR66Y
7
<1%
98.
Android / KOT49I.D32110c
7
<1%
99.
Android / KOT49I.MS32310b
7
<1%
100.
Android / KRT16S.L34CV10c
7
<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%
6.2 (iOS)   44%
6.1 (iOS)   19%
4.1.0 (Android)   7%
4.0.8 (Android)   6%
4.0.9 (Android)   5%
3.6.4 (Android)   2%
3.7.4 (Android)   2%
4.0.7 (Android)   2%
5.6 (iOS)   2%
3.7.9 (Android)   2%

Request Access

Quantified Publishers can hide some or all of their profile data from public view. Clicking this link will send a request to the profile owner to grant you full visibility. If you are granted access you will be notified via email and a home page notification.

Access Pending

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

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.

Request Site Get Quantified

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.

Request for Quantification Pending

You have sent a request to this site's owner to get quantified. You will be notified via email when this site becomes quantified.

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.



xCreate a Network

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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.