How To Target Facebook Ads To "Big data" Audience | AdTargeting
Many people are wondering whether their "Big data" Facebook ads are working when the "Big data" advertising are not getting any reach. Your "Big data" Facebook ads can help you expand brand awareness, increase coverage and bring conversions, only if you choose the right Facebook interests and target your audience accurately.
The interest "Big data" has 45,907,510 audiences on Facebook, this means that your "Big data" facebook ads has many potential audiences. So the point is, how to target these people and make them really become yours. AdTargeting can be helpful. It is one of the best Facebook interest targeting tool to discover hidden or niche interests of "Big data" Facebook ads that your competitor don't know, and provide audience analysis report. Keep reading and see how to target your audience precisely at once! In order to get more content, you can check the website mobile audience targeting.
The interest "Big data" overview
| Interest | Audience | Gender ratio of the audience | Major Age |
| Big data | 45,907,510 | Men accounted for61.8% Women accounted for38.2% |
25-34 35.08% |
At first, we can have an overview of "Big data". The interest "Big data" has 45,907,510 audiences in Facebook. Among these audiences, men accounted for 61.8%, women accounted for 38.2%. The major age of Big data audiences is 25-34, and they accounted for 35.08%.
There are also many hidden interests of "Big data". You can choose the most appropriate interest for your "Big data" advertising according to the real situation.
Professional Learning Content：AdTargeting
"Big data" Facebook ads audience analysis report
When you run "Big data" advertisements on Facebook, you need to set suitable audience targeting conditions in "Big data" Facebook ads. After analyzing the audience of "Big data" , you can get the report of "Big data" audience analysis include many detailed information：
Age
The majority of people interested in "Big data" between 25-34, and they accounted for 35.08%. And other age groups like 18-24 accounted for 24.46%. The people interested in "Big data" between 35-44 accounted for 18.79%.
Other blog recommendations: adspy free
Gender
Women accounted for 38.2% and men accounted for 61.8%.
Relationship Status
The majority of people interested in "Big data" are in a relationship of Single and they take a large proportion for about 42.3%.
Educations
The majority of people have a College degree.
Job Title
From the job title of the audience, we can analyze that the people interested in "Big data" who work on Management have the largest audience account for 25.4%. Besides this, people work on Administrative Services and Sales also have many audience.
Country/Region
People in India have the highest passion for "Big data". And United States and Thailand also have large numbers of people interested in "Big data".
In addition to the report of audience analysis mentioned above, you can use Facebook interest targeting tool to explore more detailed audience analysis information. All data can be viewed on AdTargeting.
Get more professional content, please check adspy affiliate program and mobile audience targeting.
Lists of interests for "Big data" Facebook ads
After analyzing the audience, you can also find other most related interests of "Big data". And there is a Facebook interest list that maybe helpful for you in AdTargeting . You can not only get the lists of interests but also the audience number of each interest. The recommendation of relevant interests can give you some inspiration to choose interests for "Big data" advertising.
| Interest | Audience |
| Google Glass | 231,490 |
| Data mining | 1,745,881 |
| Dashboard (business) | 3,584,210 |
| Open-source software development | 280 |
| Nook Tablet | 15,110 |
| Oracle Database | 2,547,150 |
| Data warehouse | 784,230 |
| Master data management | 40,990 |
| Paas | 60,750 |
| Analytics | 14,253,890 |
Target "Big data" audience of competitors with Facebook Pages
The audiences of competitors are also our potential audiences. You can target audience of competitors with Facebook Pages in AdTargeting. A higher affinity score, means a higher relevance of the Facebook Page to your audience. Other professional contents: weight loss ads on facebook, keywords for pet products.
Just get the most related Facebook Pages of "Big data" and use them to target your Facebook ads to "Big data" audience.
| Page | Audience | Following | Affinity |
| Udemy | 15,032 | 5,644,912 | 9.18X |
| อีจัน | 179,232 | 6,753,540 | 6.19X |
| China Xinhua Sci-Tech | 181,708 | 15,440,657 | 3.08X |
| China Xinhua Sports | 202,124 | 15,110,120 | 3.5X |
| China.org.cn | 3,196,572 | 15,714,083 | 3.92X |
| CNN International | 5,009,277 | 12,644,281 | 8.48X |
| Xinhua Culture&Travel | 191,040 | 16,182,062 | 3.09X |
| Daily Mail | 1,877,603 | 13,245,314 | 3.83X |
| The New York Times | 4,860,207 | 14,387,350 | 7.23X |
| CNN | 7,701,141 | 24,787,532 | 6.65X |
Reports of other interests
You can also get some reports of other interests. Then you can do better in Facebook audience optimization and target Facebook ads to audience more accurately. Here are the reports you might be interested in:
What's more, you can have a fast browsing of popular interests in Top Charts very easily to follow the industrial trend. Wanna target Facebook ads to "Big data" audience? Just practice these advices now!
Professional Learning Content: adspy, shopify store spy tool.
Facebook Advertising Tips
Check the relevant blogs about Facebook advertising tips before the ad launch.