Boosting Your Brand Marketing with Facebook Topic Data Insights
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Transcript of Boosting Your Brand Marketing with Facebook Topic Data Insights
Boosting Your Brand Marketing with Facebook Topic Data Insights
Kester FordDirector of Product
MarketingDATASIFT
Dary HsuProduct Marketing
ManagerDATASIFT
1. Facebook Topic Data Insights
2. Brand Health
3. Product Development
4. Understanding Viral Content
5. Campaign Analysis
6. Q&A
Agenda
Facebook Topic Data Insights
1
For years, companies struggled to get a complete view of their audience on Facebook and turn that information into useful insights
until….
DATASIFT + FACEBOOK PartnershipENGAGEMENT ACROSS FACEBOOKFACEBOOK TOPIC DATA
Topic Data Unlocks Unique Insights for Marketers
What is Facebook Topic Data?
7
What’s on your mind?
CONTENT DEMOGRAPHICS
LIKES and SHARES
Anonymized and aggregate topic data• Posts• Pages Posts
Plus engagement data• Likes on Posts• Shares on Posts• Comments (no text) on PostsData enriched with• Demographics• Topics• Sentiment
• Real-time access to the entire newsfeed with over 4.75 billion pieces of content shared a day.
• Gain anonymous & aggregated insights about specific activities, events, brand names, and other subjects that people are sharing on Facebook.
Not a Data Feed. Topic Data is Aggregated and Anonymized
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New approach to provide privacy-first insights:Facebook is not a public social network.
User identity is removed from posts and engagement data processing.
Text and meta data from anonymized posts are indexed within Facebook’s infrastructure for analysis.
Developers query data collected in real-time to perform analysis. Data is aggregated at query time to provide aggregate results.
Privacy controls ensure results only provided if audience size thresholds are met.
Insights From a Network of 1.59 Billion People
WITHOUT FACEBOOK TOPIC DATA + FACEBOOK TOPIC DATAAnalysis across public social data sources
Example: Analysis of automotive brand
6xAnalysis includes Twitter, Tumblr, blogs, forums.9
Brand Health2
Brand Health
11
A measurement of consumer opinion towards a brand. It can be quantitative, such as a share of of voice versus competitors or qualitative, such as consumer sentiment. It is multi-faceted and can be understood differently through different factors.
The setup
12
“Cars”, “Automotive”,“Ford”,“BMW”,“Honda”
• Identify interactions for automotive industry and brands.
• Identify features to compare performance across brands.
“Style”,“Practicality”,“Purchase price”,“Environment”,“Reliability”
Classification rulesInteraction filter
Identify share of voice and over time
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Discover:๏ Share of voice for brands - snapshot or over time
Identify sentiment
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Discover:๏ Sentiment expressed toward brands by gender
Identify brand health by location
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Discover:๏ Share of voice by region (US states)
Identify brand health by feature
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Discover:๏ Brand performance by feature
Identify brand health by demographic group
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Discover:๏ Share of voice by each demographic segment๏ Outlier by baselining - ex. BMW over-indexes among younger male audiences
How does Facebook topic data help?
18
Easily answer the below questions:• How much share of voice a brand achieves?• How share of voice varies over time?• How the brand performs within each demographic group?• How the brand performs in different geographies?• What features, products or services drive engagement for a
brand?
Product Development3
Product Development
20
A key component of product development is doing market research to understand what your customers really want, allowing you to tailor your product offering to meet demand and giving you a real competitive edge.
Evaluate new product ideas
Monitor product performance
Identify key features
Refine marketing campaigns
How do people do it now?
21
Market research on products can either be carried out in primary or secondary research.
Secondary research Published industry reports,
competitive research
Primary research Survey, interviews,
questionnaires
The setup
22
“galaxy”, “tab”, “tablet”, “tabpro”
• Identify interactions which mention existing products in the market.
• Identify and normalize mentions of brands, models and features.
“Samsung”, “Audio”,“Connectivity”,“Display”
Classification rulesInteraction filter
Identify model share of voice
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Discover:๏ Most popular model among your audience
Identify the most popular features
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Discover:๏ Most engaged feature
Breakdown feature by demographic groups
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Discover:๏ Most popular feature by gender and age๏ Outlier by baselining - younger segments care about style but brand under performing
Measure sentiments
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Discover:๏ Sentiment by feature
How does Facebook topic data help?
27
Easily answer the below questions:• which brands are being discussed most.• which existing models are being discussed most.• which features of models are driving engagement.• how brands and models perform within each demographic group
and geography.• how features vary by demographic group and geography.• sentiment and opinion towards brands, models and features
Understanding Viral Content
4
Why Viral Content
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Understanding what content has organically been picked up and spread by an audience is a key insight to inform future creative campaigns.
The setup
30
“Movie”, “Film”, “TV/Movie Award”
• Identify interactions from the audience who have engaged with your campaign.
• Identify topics, sources and personalities which influence content sharing.
“Online News”, “Video”,“Review”,“Gossip”
Classification rulesInteraction filter
Monitor audience activity
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Discover:๏ Peak audience engagement for viral content
Breakdown engagement by demographic groups
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Discover:๏ Content engagement by gender and age๏ Outlier by baselining - F18-24 engages relatively less with the topic
Identify popular links
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Discover:๏ Which links were engaged with most
Identify popular links
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Discover:๏ Popular links shared by country
Identify popular links
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Discover:๏ Popular links shared by gender and age
Analyze source of content
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Discover:๏ Popular source of content
How does Facebook topic data help?
37
Easily answer the below questions:• When has there been a peak in sharing activity by your
audience?• Which are the most popular pieces of content being shared?• Which are the key sources from which people are sharing
content?• How does the content shared and source vary by demographic
group?• How quickly has each piece of content spread?• Which celebrities and topics are driving sharing?
Campaign Analysis5
Campaign Analysis
39
It is always important understand how a marketing campaign has performed so that you can optimize your next campaign.
Typical objectives for campaign analysis include:
• Identify best marketing channel• Identify best materials• Monitor traffic
How do people do it now?
40
Monitoring campaign performance requires advanced setup.• Manual - Ask people lots and lots of questions in your own forms (where are you
from, who are you)• Third party tools - Insert UTM codes everywhere (links, landing pages, etc),
The setup
41
“walking,dead:4”, “amc.com/shows/the-walking-dead”
• Identify interactions from the audience who have engaged with your campaign.
• Identify topics, sources and personalities which influence content sharing.
“social networks”, “video”,“news”,“gossips”
Classification rulesInteraction filter
Monitor audience engagement
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Discover:๏ Peak audience engagement
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Identify most active demographic group
Discover:๏ Content engagement by demographic group๏ Outlier by baselining - F25-34 outperforms wider Facebook audience
Identify most popular content by age group
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Discover:๏ Content engagement by age group
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Discover:๏ Content engagement by demographic group๏ Outlier by baselining - older audience
Analyze content source performance
Identify topics driving engagement
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Discover:๏ Popular topics driving engagement
How does Facebook topic data help?
47
Easily answer the below questions:• when your audience engaged with your campaign.• which pieces of content drove most engagement.• which sources (or publishers) generated the most
engagement.• which demographic groups engaged most with the
campaign.• how engagement varies by location.• which personalities proved influential.
48
Self-declared demographics that other networks don’t (and can’t) provide give deep insights into
audience opinion and allow comparisons
Not only is the total number of people more
representative of society, but usage is more evenly
spread across all demographic groups.
Sharing with friends and family, not just for self-
promotion. Posts are more authentic and insights more representative of
public opinion.
Audiences can be defined, understood and explored
Significant representation in all demographic groups
Not Just Bigger. Better!Authentic
representation of audience opinion
Q&A
THANK YOU