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What is TickerTrends?

TickerTrends stands out as a cutting-edge predictive intelligence platform specifically crafted for investors, aimed at generating leading indicators and forecasts that can proactively indicate earnings and uncover hidden market opportunities. As a powerful search engine for alternative data, it allows users to delve into an extensive array of information, granting immediate access to in-depth consumer alternative data pertaining to any specific company, product, or market trend. By synthesizing and analyzing a diverse selection of data sources, TickerTrends integrates components such as social media sentiment, web traffic patterns, app download figures, consumer spending analytics, Google Trends, TikTok insights, ChatGPT trends, news sentiment evaluations, subreddit conversations, podcast mentions, Amazon product details, SEO data, domain traffic statistics, and mobile app information. This platform transcends conventional quarterly reporting approaches, furnishing investors with real-time insights on a multitude of companies through its detailed KPI forecasts, Metric Trackers, and ongoing signal alerts. Consequently, TickerTrends empowers investors with the essential resources needed to navigate and make sound decisions in a dynamic market environment while fostering a deeper understanding of emerging trends.

What is CSS Predictive Intelligence?

CSS Predictive Intelligence is an advanced market research and forecasting company that leverages predictive intelligence and agile methodologies to help businesses anticipate future trends and consumer behavior. Operating as a division of CRG Global, it supports agencies and Fortune 1000 companies in making data-driven strategic decisions. Its proprietary platform, HUUNU®, uses a unique prediction market approach where participants invest virtual currency based on expected outcomes, capturing collective judgment rather than individual opinion. This method reduces response bias and delivers more accurate and reliable insights compared to traditional survey techniques. CSS Predictive Intelligence enables organizations to forecast trend timing, assess market potential, and optimize product and marketing strategies. The platform combines quantitative predictions with qualitative reasoning, offering both “what” and “why” insights. It is particularly effective for identifying disruptive innovations, testing product concepts, and refining messaging. The gamified experience increases participant engagement, leading to higher-quality data. With results delivered up to 3–5 times faster than traditional methods, businesses can act quickly on insights. The platform is built on behavioral science and validated algorithms, achieving high predictive accuracy. CSS helps companies reduce research costs while improving decision clarity. Overall, it redefines market research by turning predictive intelligence into a strategic advantage.

Media

Media

Integrations Supported

Alida
Amazon
ChatGPT
Google Trends
TikTok

Integrations Supported

Alida
Amazon
ChatGPT
Google Trends
TikTok

API Availability

Has API

API Availability

Has API

Pricing Information

$99 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TickerTrends

Company Location

United States

Company Website

tickertrends.io

Company Facts

Organization Name

CSS Predictive Intelligence

Company Location

United States

Company Website

css-pi.com

Categories and Features

Categories and Features

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

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