Marketing Strategy and Plan

Running header: Marketing Strategy and Plan 1
Marketing Strategy and Plan
Students Name
Institutional Affiliation

Marketing Strategy and Plan 2
Question 1.
Social media promotion includes the following models; One, Facebook promotions.
Facebook users are about a quarter of the world’s population. This population provides
advertisers with the opportunity to reach more people. Two, Instagram promotions. Instagram
commands the largest audience engagement more than both Twitter and Facebook (Jolly, W.
(2018). The model is effective in incorporating visual media on campaigns. Three, Twitter
promotions. This model allows users to connect with mainstream influencers. The model also
promotes a network for organic engagement. Four, we have Pinterest promotions. This model is
visual as Instagram however its targeted mainly for ecommerce sales. Lastly, we have LinkedIn
promotions. The model revolves around B2B market. It provides the highest quality leads and its
suitable for social media marketing campaigns (Thoma et al., 2018)
Question 2.
Khare can promote Tech Talk on either Facebook or Twitter. On promoting Tech Talk on
Facebook, Khare can focus on the following performance indicators; reach per post, new likes
per month, page to call actions clicks, actions on page, average clicks to website, average
engagement, average phone number clicks and lastly average clicks to website. On Twitter,
Khare can focus on the following performance indicators; number of tweets, link click, likes,
number of impressions, Twitter profile visits, and lastly mentions and retweets.
Question 3.
There are three main metrics that can be used for social media analytics and they include;
descriptive analytics, network analytics and content analytics. Descriptive analytics involves the
analysis of tweet metrics, user metrics and URL metrics. For example, analysis of hashtags in
tweets, follower counts, and links used in tweets. Network analytics on the other hand involves
topological analysis, centrality analysis and community analysis. For example, analysis of
network parameters such as network layout, centrality for analyzing the user network and
network density of social media. Lastly, content analytics involves word analysis, hashtag
analysis and sentiment analysis. For example, frequency analysis by the help of topic modelling,
analysis of the frequency of the usage of hashtags, and the analysis of clustered tweets for
polarity or emotion.