Social Media Listening

Our Social Media Listening tool help companies make better & more informed decisions based on customer insight

Companies are spending a lot of money on different marketing campaigns but don’t have a methodology to quantify how their brand/campaign
is being perceived by the customers

Increasing number of people express their views on Social Media in the form of images since they are more impactful than text. Hence it is imperative to efficiently analyze these images and texts on Social Media to understand the customer response. Affine provides a smart product using propriety ML algorithms to accurately quantify the customer sentiment about the brand through Image & Text Analytics and identify the drivers of positive or negative sentiment, thereby understanding the brand perception among the customers.

BENEFITS

TOPIC
IDENTIFICATION

Key topics will be identified which drive conversations on social media

IMAGE BASED
RECOGNITION

Accuracy of Social Monitoring metrics will be improved through Image Analytics

CAMPAIGN PERFORMANCE MEASUREMENT

Campaign’s social traction will be gauged in terms of #mentions, sentiment polarity, #influencers

KEY FEATURES

IMAGE BASED SENTIMENT
ANALYSIS
Enabled by the Al & Deep
Learning Modules
AUTOMATED ALERTS
Enabling faster assessment of
campaigns
PLUG AND PLAY*
Enabling faster assessment of
campaigns
OPPORTUNITY IDENTIFICATION
Converting social buzz to tap potential
opportunities
AUTOMATED DATA REFRESH
Improving accuracy by updating input
data at a fixed frequency

BENCHMARK VIEWS

Overview of Social Media Presence (Mentions and followers)
Industry benchmark
KPI’s across time, geography, demography, channels

ENGAGEMENT VIEWS

Overview of Social Media Engagement(#Likes, Shares, Tweets, Impressions, Sentiment Polarity)
Industry benchmark
KPI’s across time, geography, demography, channels

OPPORTUNITY VIEWS

Opportunity Analysis: Conversational Topics, Related Hashtags
KPI’s across time, geography, demography, channels

DEPLOYMENT ROADMAP

TURBO-CUE deployment process ensures minimal disruption to day-to-day operations

CONFIGURE & INTEGRATE
2 – 4 WEEKS

  • Engine backend architecture set up as required cloud / on-premise
  • Data sources assessment and understanding
  • UI Deployment Feasibility Assessment
  • Data sampling, clean up and data flow automation

TEST & REFINE
2 – 4 WEEKS

  • Engine trains itself on provided training data
  • Affine’s Al team fine tunes the models to cater to various components
  • Stakeholders approve model performance and give a final go ahead

DEPLOY & MAINTAIN
(PHASED APPROACH)

  • UAT and Feedback enabled for a¬†department to highlight issues
  • Deployment of the beta version followed by the full-fledged engine

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Contact Information

+91 80 6679 0500 info@affineanalytics.com

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