final exam Flashcards
3 components of engagement
- involvement
- interaction
- influence
what is involvement with engagement and give an example
passive engagement with a brand on SM (ex: visits, time spent consuming content, views)
what is interaction with engagement and give an example
active engagement such as likes comments, posts, mentions
what is influence with engagement and give an example
active engagement with a brand, what consumers do with other consumers in relation to your brand in SM (Ex: sharing content, recommending brands, referrals, sentiment of mentions)
give examples of passive SM strategies
- search, seek, consider responding
- seek out mentions of your business, competitors, and industry
- listen to what people say
- get feedback
- post things
- make own website or brand page
- not really being involved
observing, monitoring, listening
give examples of active SM strategies
- engaging in conversation
- create content
- build sm profiles
- connect with influencers
- create targeted, appropriate content
- facilitate conversations
- respond to comments
- create content that can be shared
4 engagement success strategies
- be participatory
- be authentic
- be resourceful
- be credible
explain be participatory and give an example
interact with the community, answer questions, earn trust by participating in existing communities (Ex: respond to blog comments, tweets, or facebook posts that mention the brand)
explain be authentic and give an example
having conversations without forced attitudes (Ex: give honest responses, communicate professionally and personably)
explain be resourceful and give an example
become a “go to”p place (ex: answer questions and deal with complaints, share customer feedback, solicit customer opinions, enact thought leadership)
explain be credible and give an example
build a reputation for knowledge and expertise, build trustworthiness, therefore people may go to you first before they rant on the internet
(ex: be ready to share info, explain the rationale behind decisions, admit mistakes, ask for understanding and support)
homophily
tendency for people to seek out or be attracted to those who are similar to themselves (birds of a feather flock together)
why might homophily make it difficult for content to go viral?
the more homophily we have, the less we are connected to other people (ex: older generations, people in other continents, people with different interests)
if we want to prevent homophily, what type of person should we seed to?
someone who has a high betweenness centrality (more likely to act as a bridge across networks)
explain a SM echo chamber. how does it relate to homophily
any statement of opinion within your flock is likley to get approval because it will only be read or heard by people who hold similar views
3 things that may be affected by homophily
- WOM
- virality
- seeding/influence
how can WOM be affected by homophily
- helpful if targeting specific groups
- not helpful if we want to bounce info out of a specific community
how can virality be affected by homophily? how can a firm steer away from homophily when trying to make something go viral?
to get info away from a local network, be broad instead of specific. everyone can relate to emotions and big experiences
how can seeding / influence by affected by homophily?
if our goal is to expand our audience, we may want to seed people who are interested in the general category instead of the specific person
small world network. give an example.
most users can reach every other user by a small number of steps
ex: Facebook users tend to form clusters of friends, yet they are connected to others outside these clusters through a few intermediate connections
how can homophily be an issue when it comes to small world networks
homophily groups people together with similar interests, if everyone has a high propensity to buy makeup or hear from others about makeup we cant target a focal individual because everyone is more likely to buy the same thing
explain causality with SM ads
marketers need to determine whether a change in one variable likely caused an observed change in another. hopefully the change in the independent variable will cause a change in the dependent variable. important to know whether the levers pulled and moved in advertising actually make an impact
examples of independent vs dependent SM ad types
independent = ad type or content
dependent = sales
extraneous variables (give example)
any other variables that have an impact on the dependent variable. we can either control or not control them. ex: competitors prices or user characteristics
ATE (avg treatment effects)
difference in mean outcomes between those in the treatment group vs those in the control group (compare A and B)
treatment compliance
users in the treated group were not exposed to the treatment
what would be a reason for treatment compliance?
- too much content
- they dont use that app that day
- algorithm doesnt target them
ITT (intent to treat)
A+A1 = B, Group A has half exposed and half not exposed
Group B is not exposed,
drawbacks to ITT
- If only 10% were exposed, there could be a weak correlation (we still look at all A + A1 compared to all B)
- Results depend on the percentage in the exposed group
ATT (average treatment effects on treated)
Treatment (exposed, A) = control
A vs B (A1 is not in this), this is casual if users in the exposed group are the same as users in the control group
drawbacks to ATT
- Difficult to measure but more helpful
- Treatment (exposed, A) are very different than B control
social ads, basic experiment design
- Randomly divide 10,000 users into two groups
- Group A → assign to ad group, measure sales
- Group B → assign no ads, measure sales