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d-30509House OversightOther

InsightsPod marketing deck outlining social‑media sentiment analysis services

The document is a commercial presentation describing a sentiment‑analysis platform, its features, pricing, and founding team. It contains no allegations, financial flows, or connections to high‑level Describes a SaaS product for real‑time social‑media sentiment analysis. Lists potential customers: retailers, politicians, investors. Provides case study data on Brexit and 2016 US election sentiment

Date
November 11, 2025
Source
House Oversight
Reference
House Oversight #028988
Pages
2
Persons
2
Integrity
No Hash Available

Summary

The document is a commercial presentation describing a sentiment‑analysis platform, its features, pricing, and founding team. It contains no allegations, financial flows, or connections to high‑level Describes a SaaS product for real‑time social‑media sentiment analysis. Lists potential customers: retailers, politicians, investors. Provides case study data on Brexit and 2016 US election sentiment

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investment-pitchsocial-media-analyticsmarketingsentiment-analysishouse-oversighttechnology

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Text extracted via OCR from the original document. May contain errors from the scanning process.
Gather, Visualize, Analyze Public Opinion to make Intelligent Decisions InsightsPod analyzes opinions, sen>ments, emo>ons and a?tudes of people from social media. Currently our plaCorm supports TwiFer, Facebook and YouTube. We are in the process of integra>ng Instagram and Pinterest. Features Ø Gathers real >me data from social media sites and conducts sen>ment analysis. Ø Opinion can be analyzed based on geographic loca>on. Ø InsightsPod iden>fies loca>on and other demographics. Ø Ideal for retailers to determine customers’ intent and buying habits. Ø Graphical repor>ng. Ø InsightsPod supports 71 languages. Ø Add triggers to receive updates. Poten-al Customers • Retail/Brands: We help businesses/retailers iden>fy which customer is not happy in seconds. We help them determine a customer’s intent and buying habits. Also, we aid retailers and businesses with product development ideas and go-to market strategies. • Poli1cs: Through the vast amount of data available across social media, we can not only help poli>cians to understand what their cons>tuents are talking about but also to influence people, track voters and get them to vote. • Stocks: Investors who predict stock behavior by interpre>ng news and public sen>ment make beFer trades and informed decisions. InsightsPod can give an insight into public sen>ment quickly and can aid financial ins>tu>ons as well as individuals to make sound investment decisions. Case Study: BREXIT We conducted sen>ment analysis of more than half a million tweets before the Referendum day. 327K tweets were collected on the day of Referendum on InsightsPod. 103k (27%) 57k 167k (51%) Tweets Support for Brexit Remain in the EU Neutral Live Feeds – US Presiden-al Elec-on, 2016 • Up un>l 17 th August 2016 we have processed 85 million tweets related to the US Presiden>al Elec>on. • The public feed is for media agencies and to showcase to poten>al customers, the accuracy and capability of InsightsPod plaCorm. • InsightsPod can help a poten>al poli>cal candidate understand what their cons>tuents are talking about and also to influence people and track voters. Live Feeds – US Presiden-al Elec-on, 2016 Weekly Report: Donald Trump Weekly Report: Hillary Clinton 5.73% 2.33% 14.4% 31.09% 54.41% Nega>ve Nega>ve Neutral Posi>ve 91.93% Neutral Posi>ve Based on data collected from 10 th - 17 th August 2016 Social Media Ac-vity of Poten-al Customers 2,941,608 Tweets per day 412,320 Tweets per day 12,690,192 Tweets per day 2,878,608 Tweets per day Based on data collected on 17 th August 2016 Pricing Model for Customers No. of Impressions (Monthly Subscription) Cost (USD) 0-100,000 $999 100,001-250,000 $1999 250,001-500,000 $2600 500,001-1000,000 $3500 1000,001-2000,000 $5000 *Impression = 1 Facebook comment or 1 Tweet Applica-ons under development • Mobile applica>on for shoppers to ask ques>ons about products and services – our output will be based on opinion of people on social media. • Analyze and predict crime InsightsPod founding Team • Zubair Khan (CEO) • CEO, Tranchulas – A mul>na>onal IT Security Company (10 Years) • Pursuing MBA from Harvard • Bachelors in Business IT from Cur>n University of Technology, Australia • Accomplished and result oriented with proficiency in IT business management. Analy>cal exper>se in overseeing technology improvement ini>a>ves. • Anya Rasulova (Director) • Business Development and Strategic Partnerships, Google • Product Marke>ng Manager, Google • Strategy Manager, Ebay • Wharton MBA (Marke>ng and Opera>ons) • BA Economics, Brown University • Solid career track record in consul>ng and internet services 250,000 200,000 150,000 100,000 50,000 0 Yearly Expense ($) PR/Marke>ng Product Development Business Development Indirect cost TwiFer data acquis>on cost Live feeds U>li>es/Office Space Legal/Compliance Total Annual Costs = $800k Sales Forecast • InsightsPod is pre-revenue • Es>mated break-even point is between 18 to 24 months • Sales Target is $4m in 2020 Raising $2.4m at $10m valua-on to scale • Required Investment is $2.4m for 3 Years ($800k per year) or Minimum Ticket $1M. • Use of Proceeds • Refine sen>ment analysis system – currently 5% false posi>ves • Hire a PR Firm • Marke>ng and Sales (American and UK market) • Office Space in San Francisco and London Why Invest? • First Mover • Efficient • Experienced Team that knows where to focus • Good Business • Subscrip>on Revenue • High Margins

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