The document describes MediaWave, a social media monitoring and data analysis platform used by corporations and political organizations in Indonesia to track social media conversations, measure engagement, and analyze sentiment. The platform collects data from various social media sources using sophisticated algorithms, and provides analytics on key metrics like reach, share of voice, and net perception to give insights into public opinions. MediaWave also has a team that conducts qualitative analysis to provide strategic recommendations based on trends found in the quantitative social media data.
2. Mediawave realize that social media has changed the communication ways. It’s a 2 ways
communication & horizontally. Consumers perception over your product is determined by
the consumer's experience sharing about the product, also, not determined by your
promotion material and advertising anymore. Indonesia is the Social media country, the
second biggest Facebook users and the third biggest Twitter user in the world. They
discuss everything & anything, including your brand in social media. They share the
experience, asking, flattering even scolding your brand in Social Media.
MediaWave is an advanced, heavy-duty social media monitoring algorithm made by
highly experienced programmers and social media specialists. It’s a monitoring tool which
has been utilized under different license name, for multinational corporations as well as
political organizations.
Furthermore, we also dedicate a team to analyze the data results from the monitoring. By
means of the method that we developed based on our experience in Indonesia market.
4. Platform System
End User
BEHIND THE PLATFORM
3rd Party
Data Provider
PLATFORM API
& AGGREGATOR
Keywords to Track
Custom Sentiment Phrase
USER INTERACTIVE APPLICATIONS
SENTIMENT ANALYSIS
DATABASE
CRAWLER
FACEBOOK
TWITTER
BLOG
FORUM
Qualitative Analysis
Quantitative Analysis (Time, Keywords Volume, etc)
NEWS
ONLINE
FORUM
8. Social Media Monitoring & Data Analysis
The algorithm of MediaWave is known in Indonesia’s business
landscape, which are used by state-owned banks and the
country’s largest telecommunication companies. It is also used by
American mining companies and consumer product.
In the field of politics http://politicawave.com, which has been a
trusted source of social media monitoring platform for Politics.
The platform has been used to predict correctly the outcome of
elections.
The sophisticated algorithm of MediaWave collects, measures
and analyzes abundant conversational data. These conversations
include statements, questions, criticisms, supports, jokes,
opinions and various comments of current issues.
The monitoring activities can also include listening to plans,
rallies, recruitments to crowd mobilizations. Information critical to
government agencies in the field of national security.
Information is gathered, processed and presented 24 hours-a-day,
7-days-per-week, non-stop, providing the ability to tap into the
dynamics of society never before accomplished.
9. Social Media Monitoring & Data Analysis
MediaWave Method
Reach is the maximum number of
audience is exposed to our message.
Example calculation:
@ XYZ tweeted a message to
its 1000 followers. The message
got retweeted in 2 times by @
ABC (1700 followers) and @
DEF (followers 500).
Then the reach of that message
is: 1000 + 1700 + 500 = 3200
10. Social Media Monitoring & Data Analysis
MediaWave Method
Engagement is the amount obtained by the interaction of a message. On Twitter, this
interaction may be a reply, retweet, click to link, favorite. On Facebook, the interaction can
be like and comment.
Example calculation:
@XYZ tweeted a message to
1000 followers.
That message got replied 3 times
and 30 times retweeted.
So the engagement is 3 + 30 = 33
11. Social Media Monitoring & Data Analysis
MediaWave Method
Share of Awareness shows the number of mentions of
a issue or figure in social media mentions compared to
the competitor or another issue.
Share of Citizen displays the number of unique users who
have mentioned the issue or figure in social media as
compared with the total unique user.
12. Social Media Monitoring & Data Analysis
MediaWave Method
Share of Media is similar to Share of Awareness. The distribution is calculated based only on the online
media. Mapping the issue or figure based on a number of social media conversation.
Share of Category is similar to Share of Awareness, only calculated based on the distribution in a
category. For example in the banking industry, monitoring can be divided based on social, economy, or
politics.
13. Social Media Monitoring & Data Analysis
MediaWave Method
Share of Influencer - Measuring influencers who are aware of the issue or figure compared to the total
influencers. Influencer is a person who has the authority as well as influential and trusted by their
environment to talk about the issue or figure and our industry. The more influencers are talking
positively about a issue or figure, the better the public's perception of the issue or figure.
14. Social Media Monitoring & Data Analysis
MediaWave Method
Net Perception (NP) is the net value of sentiment: the opinions and feelings of consumers expressed in
social media, to a issue or figure in the world of social media.
There are 2 (two) way of calculating Net Perception (NP), namely:
NP 1 = Total positive mention + Total neutral mention - Total negative mention
NP 2 = Total positive mention - Total negative mention
15. Social Media Monitoring & Data Analysis
MediaWave Method
Perception Index is the index scoring sentiment of a issue or figure compared with social-politic
sentiment. Perception Index only calculated the positive and negative sentiment. With the Perception
Index, a issue or figure can directly find out the public perceptions in social media in comparison with
competitors and industry.
16. Social Media Monitoring & Data Analysis
MediaWave Method
Social Influence Marketing (SIM) is an index that measures the effect of a issue or figure in social media.
The formula of Social Influence Marketing (SIM) is as follows:
SIM SCORE = (% Total positive mention of the issue or figure /% Total mention of the category) + (% of
Total neutral mention of the issue or figure /% Total mention of the category) - (% Total negative mention
of issue or figure /% Total mention of category)
17. Social Media Monitoring & Data Analysis
MediaWave Method
Net issue or figure Reputation (NIFR) is the net value of the issue or figure's reputation in the number of
social media. This value is approximately equal to the Net Promoter Score (NPS). Calculation of Net issue
or figure Reputation (NIFR) is as follows:
NIFR = % total positive mention - % total negative mention
Calculation of Net issue or figure Reputation (NBR) aims to simplify the method of measurement of
public opinion to a issue or figure.
18. Social Media Monitoring & Data Analysis
MediaWave Method
Earned Media Share of Voice by Perception
(EMSP) concept is the same as issue or
figure Talkable Favorability (IFTF), but
measured in the context of a product
category. Thus, the denominator is not
limited to one issue or figure only
conversation, but conversation of all existing
issue or figures in that product category.
The formula of Earned Media Share of Voice
by Perception (EMSP) is as follows:
EMSP = (% total positive mention of the
issue or figure /% total positive mention of
the category) = (% of Total neutral mention
of the issue or figure /% of Total neutral
mention of the category) - (% Total negative
mention of issue or figure /% Total negative
mention of category)
19. Social Media Monitoring & Data Analysis
Analysis Data Output
Campaign Analysis
Performance Analysis, User Profile by Post, Buzz Cluster (Words Cloud), Reach &
Engagement, Influencer, Impact & Authority, Key Content Message
Trending Analysis
Key Finding trend category based on audience, Buzz Cluster (Words Cloud), Trend location,
Influencer, Content Ideation and Content Planning, Key Conversation Sample
Competitve Monthly Report & Recommendation
Share of Voice, Sentiment Growth, Media Distribution & Sentiment, Brand Equity,
Finding/Insight All Brand, Brand Storyline, Influencer by Media (Twitter, Facebook, Blog,
Forum, Online News, Youtube), Keyword Mapping, Influencer Mapping, Key Finding, Key
Take Away, Forward/Recommendation