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Leveraging Social Media Social data mining and retargeting Online Marketing Strategies for Travel June 2, 2014

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Retargeting is one of the most effective means of reaching and converting visitors to your site, but it's even more effective when augmented with data mined from social media resources.

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Page 1: Retargeting using social media data

Leveraging Social MediaSocial data mining and retargeting

Online Marketing Strategies for Travel June 2, 2014

Page 2: Retargeting using social media data

2014 Budget Review

Session Agenda

1) Get to grips with social data mining and intelligently split your segments to communicate more effectively across your marketing channels

2) Learn how to harness social media data and better divide your marketing segments

3) Personalize and retarget effectively: How to leverage social data to reach the right consumer at the right time with the right message (without being creepy)

4) What information are you legally allowed to collect, use and store from social data sources?

[email protected] @jon_isernhagen

Page 3: Retargeting using social media data

2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

Page 4: Retargeting using social media data

2014 Budget Review

Definitions: Data Mining

“The computational process of discovering patterns in large data sets … the automatic or semi-automatic analysis of large quantities of data to extract previously unknown interesting patterns such as:• groups of data records (cluster analysis), and;• dependencies (association rule mining).

http://en.wikipedia.org/wiki/Data_mining

[email protected] @jon_isernhagen

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2014 Budget Review

Data mining by Clustering: flower categorization

http://www.mathworks.com/help/stats/examples/cluster-analysis.html

Fisher’s iris data

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2014 Budget Review

Data mining by Association Rules: politics v. beers

http://www.marketplace.org/topics/life/final-note/what-your-beer-says-about-your-politics

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2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

Page 8: Retargeting using social media data

2014 Budget Review

Social data mining uses

“Companies are mining the social web to build dossiers on you. Information posted publicly on blogs, Facebook, Twitter, forums and other sites is fair game.”

–Leah Bettancourt, Mashable contributor

http://mashable.com/2010/03/02/data-mining-social-media/

Purposes include: credit judgment, fraud detection, product customization, new customer acquisition, influencer identification/targeting.

[email protected] @jon_isernhagen

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2014 Budget Review

Social data mining uses

“[Twitter’s] constant stream of experiences, opinions and sentiments has spawned a vast commercial ecosystem, serving up putative insights to:

http://online.wsj.com/news/articles/SB10001424052702304441404579118531954483974

Product developers, Hollywood studios, major retailers and—potentially most profitably—hedge funds and other investors..” - Elizabeth Dwoskin, WSJ

[email protected] @jon_isernhagen

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2014 Budget Review

Social data mining challenges: record sifting

“Companies face the issue of identifying their customers among the millions in any given online community.”

–Chris Boorman, CMO of Informatica

http://mashable.com/2011/02/25/data-mining-social-marketing/

“Dealing with data sets measured in petabytes is a challenge in itself, and there is a serious problem with the signal-to-noise ratio…we estimate that at best, only 20% of the social media data stream contains relevant information.”

[email protected] @jon_isernhagen

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2014 Budget Review

Social data mining challenges: record matching

http://mashable.com/2011/02/25/data-mining-social-marketing/

Methods include: • Company participation: “On Facebook…businesses can

gain access to the profiles of anyone who clicks the “Like” button on the company’s business site…”

• Mining + Algorithms: If a company has one or two key pieces of information about its customers — e-mail address is often the most important — that company can accurately identify them on a social site and extract a substantial amount of data

[email protected] @jon_isernhagen

Page 12: Retargeting using social media data

2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

Page 13: Retargeting using social media data

2014 Budget Review

How you can mine social data: DIY

Hands-on data mining text, using (free) Python• Introduces social sites• Describes the sites’

uniqueness and unique data

• Explains how to pull and analyze

[email protected] @jon_isernhagen

Page 14: Retargeting using social media data

2014 Budget Review

Social data mining DIY: Twitter

Teaches you how to:• Discover trending topics• Identify retweeters of a status• Identify all followers of a Twitter user• Analyze a user’s friends and followers• Perform tweet frequency analyses• Find the most popular tweets• Search for individual tweets• Harvest a user’s tweets• Crawl a Friendship Graph• Analyze a user’s favorite tweets.

[email protected] @jon_isernhagen

Page 15: Retargeting using social media data

2014 Budget Review

Social data mining DIY: Facebook

Teaches you how to:• Analyze social graph connections.• Analyze Facebook pages• Analyze things your company’s friends like• Analyze mutual friendships• Visualize directed graphs of mutual

relationships.

[email protected] @jon_isernhagen

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2014 Budget Review

Social data mining: Vendors

Certified data resellers: 1) Gnip “the world’s largest and most trusted provider.”

a) Very comprehensive set of social media sources

2) Data Sift “the leading social data platform”a) Advanced filtersb) SQL-like query language

3) Topsy Labs, Inc. charts Twitter and Google trends

http://online.wsj.com/news/articles/SB10001424052702304441404579118531954483974

[email protected] @jon_isernhagen

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2014 Budget Review

Twitter volume queries using Topsy

[email protected] @jon_isernhagen

Page 18: Retargeting using social media data

2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

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2014 Budget Review

Resources: The Retargeting Playbook

Articulates complete retargeting strategy and set of tactics:• Setting up your campaign• Segmenting your customers• Optimizing your ads• Meeting specific objectives• Optimizing for Social and

Mobile• Adhering to privacy laws

[email protected] @jon_isernhagen

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2014 Budget Review

The “re-” is important, or else it’s just “targeting”

“It was already blue before.”

[email protected] @jon_isernhagen

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2014 Budget Review

Definitions: Site Retargeting is…

Someone arrives at your site (often from search)…

…then leaves without buying(or buying enough).

“The Retargeting Playbook,” Berke

[email protected] @jon_isernhagen

Page 22: Retargeting using social media data

2014 Budget Review

Definitions: various “Retargetings”

Term Actually describes

Search retargeting

Targeting display ads based on Google search terms

Email retargeting

Sending e-mail to people who visit your site,or

Using in-message retargeting pixel to dynamically adjust e-mail

Social retargeting

Targeting a consumer based on Facebook “like,”or

Targeting site visitors on Facebook Exchange.

“The Retargeting Playbook,” Berke

[email protected] @jon_isernhagen

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2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

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2014 Budget Review

Intent: why retargeting is successful

1) Search engines capture intent to purchase2) Site behaviors also signal intent, but:

a) Shoppers are more connected/distractedb) 71% of the 97% break off before purchasing because:

44%: shipping and handling were too expensive41%: wasn’t ready to purchase27%: wanted to compare prices on other sites25%: product price was higher than I was willing to pay24%: just wanted to save product in cart for later consideration

“The Retargeting Playbook,” Berke

[email protected] @jon_isernhagen

Page 25: Retargeting using social media data

2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

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2014 Budget Review

Campaign Setup

1) Post your privacy policy on all data-collection pages.2) Tag your website to start building lists

a) Each ad marketplace has a JavaScript tag for each page headerb) Verify that the tags are workingc) Accumulate at least 500 visitors before impressions start serving.

3) Create and upload adsa) There are ten total ad types used in retargetingb) Five major types (300x250, 160x600, 728x90, 100x72, 200x200)

4) Launch your campaign5) Segment

“The Retargeting Playbook,” Berke

[email protected] @jon_isernhagen

Page 27: Retargeting using social media data

2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

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2014 Budget Review

Segmentation: Basic

“The Retargeting Playbook,” Berke

Basic retargeting segmentation is driven by intent signals.1) Funnel-based segmentation

a) Number of visits to the siteb) Time on sitec) # of pages viewed (and funnel depth)d) Items added to cart

2) Possible segmentation schemea) All site visitorsb) Viewers of at least one product pagec) Shopping cart usersd) Purchasers

[email protected] @jon_isernhagen

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2014 Budget Review

Throttling

1) Use Conversion charts to determine:a) Frequency cap: max impressions a user can see/dayb) Audience duration: how long to keep targeting? (30 days?)

2) Cadence modification: bidding less on successive impressions

3) Segment prioritization: e.g. exclude purchasers4) Inventory management: drop out of non-performing

spaces

“The Retargeting Playbook,” Berke

[email protected] @jon_isernhagen

Page 30: Retargeting using social media data

2014 Budget Review

Presentation Agenda

1) Mining social dataa) Definitionsb) Uses and challengesc) Execution: DIY vs. vendors

2) Retargetinga) Definitionsb) Customer intentc) Campaign executiond) Segmentation and Throttling

3) Social retargeting

[email protected] @jon_isernhagen

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2014 Budget Review

Facebook targeting parameters

1) Location (Country, State, City, Zip)2) Age (13-65 or 65+)3) Gender and relationship status4) Precise interests (liked “The Biggest Loser”)5) Broad categories (e.g. small biz owners, Hispanics)6) Connections (target/exclude fans)7) Friends of connections8) Education level9) Likes and Shares

http://socialfresh.com/facebook-ad-options/

[email protected] @jon_isernhagen

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2014 Budget Review

Retargeting on Facebook using social data mining

1) Perform social (or non-social) data mining2) In Ads Manager: input your targeted Custom Audience:

a) Acceptable key fields: email address, phone numbers, Facebook user IDs or mobile advertiser IDs.

b) Minimum recommended size: 1K targeted customersc) Format: .csv, single column, no heading

3) Specify Facebook ad targeting criteria4) Observe performance and continually refine

https://www.facebook.com/help/459892990722543/?ref=fbbusiness

[email protected] @jon_isernhagen

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Appendix

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2014 Budget Review

Retargeting vendor considerations

• Reputation: ethical and successful• Reach: participates on all major exchanges• Technology: owns and operates its own• Flexibility: insertion-order-based and no

contracts/minimums• Transparency: discloses campaign performance• Service: responsiveness• Pricing: dynamic CPMs

“The Retargeting Playbook,” Berke

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2014 Budget Review

Ad exchanges

1) Google’s AdX2) Yahoo!3) Appnexus4) AOL5) FBX (news feed and right-hand side)

“The Retargeting Playbook,” Berke

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2014 Budget Review

Sample Privacy Policy

“As you browse [company site], advertising cookies will be placed on your computer so that we can understand what you are interested in. Our display advertising partner, AdRoll, then enables us to present you with retargeting advertising on other sites based on your previous interaction with [company site]. The techniques our partners employ do not collect personal information such as your name, e-mail address, postal address or telephone number. You can visit www.networkadvertising.org/choices/ to opt out of AdRoll and their partners’ targeted advertising.”

“The Retargeting Playbook,” Berke

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2014 Budget Review

Segmentation

1) Basic (intent-signal based)2) Category-based3) Product-based4) Advanced

“The Retargeting Playbook,” Berke

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2014 Budget Review

First-party data: you have access to

1) Pages people visited2) Time on site3) Products viewed4) Purchase history

“The Retargeting Playbook,” Berke

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2014 Budget Review

Segmentation

• Cart abandoners• Viewers of specific:– Products– Product lines

• Repeat buyers

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2014 Budget Review

Facebook Marketplace vs. Exchange

“The Retargeting Playbook,” Berke

Tool Marketplace Exchange

Funnel focus Demand Generation (upper) Demand Fulfillment (lower)

Bought through Facebook or partners (“preferred marketing

developers”)

Facebook-qualified partners

Sold on Impression basis Insertion basis

Uses data from Facebook (profiles, interests and other actions on-platform)

Your website only(onsite intent data, 3rd party data)

For retargeting? Eventually added Yes

Ad units Almost every type(including sponsored stories, page-post ads: links, videos,

photos, events)

News Feed (static & dynamic)Right-hand-side (static & dynamic)Page-post link ads only on desktop

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2014 Budget Review

Data analysis, Old School

http://en.wikipedia.org/wiki/Regression_analysis

Fitting a lineapproximating x vs. y relationship