TickerTrends
  • Documentation V2
    • Introduction
    • Introduction to Data Types
      • Amazon
      • Google Trends
      • Youtube
      • Instagram
      • Web Traffic
      • App Usage
      • TikTok
      • Reddit
      • Wikipedia
      • Job Postings
      • Financial Data Types
    • TickerTrends Tiers
    • Why Choose the Enterprise Tier vs TickerTrends Core?
    • Enterprise Section
      • Enterprise KPI Dashboard Overview
      • Getting Started: Create New Pages
      • Adding Widgets
      • Enterprise Dashboard Features
      • Outlier Mode on Exploding Trends
      • Home/Analyze Page
      • Sector Trends Page
      • TickerTrends' Proprietary Trends
      • Social Discover Page
      • Social Discussion
      • Trend Lab - Gen AI Alternative Data Research + Contextualize "Why" a Search Spiked
      • Gen AI Enterprise Page Builder
      • Custom Datasets and Training Sessions Included!
    • Section 1: Discover
      • 1.1 Discover
      • 1.2 Exploding Trends
      • 1.3 Watchlist Screener
      • 1.4 Sector Trends
      • 1.5 Social Discover
    • Section 2: Analyze
      • 2.1 Home Page
      • 2.2 Analyze Page
      • How to Start - Search for Tickers or Terms
      • Instant Scrape
      • Add Stocks to Watchlist
      • Related Symbols Table
      • Financial Data Section
      • Alerts
      • Alternative Data Section Overview
      • Proprietary Trend Values
      • Pie Chart
      • Compound vs Individual Mode
      • Dynamic Chart
      • Dynamic Chart Data Source Descriptions
      • Visualization Tools & Interval Mode
      • Summary
      • Enterprise Dashboard
    • Section 3: Manage
      • 3.1 Edit Data
      • 3.2 Settings
      • API Settings
    • Section 4: API Access
      • API Settings
  • Add-Ons
    • Chrome Extension
  • Tips And Tricks
    • Finding high quality terms
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On this page
  • 1. Social Following Data
  • 2. Outlier Mode & Recency Mode in Exploding Trends
  • 3. Unlimited Exploding Trends Charts
  • 4. Company Labels on Exploding Trends
  • 5. Unlimited Alternative Data Charts
  • 6. Unlimited Alternative Data Alerts
  • 7. Amazon, Wiki, & Mobile App Data Types
  • 8. Subdomain Data (Popular Web e.g. /login , /cart) & TickerTrends Website Traffic
  • 9. Private Company Coverage
  • 10. Enterprise Dashboard (Custom Tracking Pages)
  • 11. Sector Trends Page
  • 12. Social Discover Page
  • 13. Gen AI Enterprise Page Builder
  • 14. Gen AI “Trend Lab”
  • 15. Trend Lab Context Tool
  • 16. Early Access to New Datasets
  • 17. Collaboration Tools for Teams
  • 18. TickerTrends' Proprietary Trends
  • 19. Unlimited Proprietary Trend API
  • 20. Reddit Subscriber & Sentiment Metrics
  • 21. Excel Export
  • 22. Custom Data / Data Import
  • 23. Custom Features
  • 24. Alerts API Access
  • 25. Personalized Training Calls
  • Conclusion
  1. Documentation V2

Why Choose the Enterprise Tier vs TickerTrends Core?

PreviousTickerTrends TiersNextEnterprise Section

Last updated 23 days ago

This document outlines the key feature differences between the Core and Enterprise tiers. If you're currently deciding between Core and Enterprise, we go over some key differences at a high level and link to the documentation for more detailed explanations of how to use each feature / page.

As an overview, the Enterprise Tier unlocks our most advanced tools, automated ticker research tools, automatic anomaly detection among various consumer trends across all digital data sources, KPI trackers for your favorite tickers / sectors and full access to alternative data workflows designed for serious research and institutional use.


1. Social Following Data

  • Enterprise includes access to a whole host of social media metrics from Social Blade, such as TikTok, Instagram, and YouTube follower count changes, likes, comments and more enabling deeper insights into brand momentum.

  • Core users do not have access to this data, limiting visibility into the social presence and growth of key companies.


2. Outlier Mode & Recency Mode in Exploding Trends

  • Enterprise users can toggle between Outlier Mode and Recency Mode when viewing Exploding Trends. Outlier Mode automatically surfaces the anomalies (seasonally adjusted) in the data for you — making it an extremely powerful tool in quicker ticker idea generation. Recency Mode further enhances Outlier Mode by showing only current outliers.

  • Core users are limited to a single default mode with zero Outlier Detection capabilities.


3. Unlimited Exploding Trends Charts

  • Enterprise users can access unlimited Exploding Trends pages (pg. 10 of 306 shown below). We track hundreds of thousands of keywords related to global tickers and automatically show seasonally abnormal trends in this page to identify rising consumer interest in real time. These anomalies are detected across all data sources we track! This page is updated daily for anomalies we detect and thus changes often, giving endless amounts of ticker ideas to research further.

  • Core limits access to just 10 pages, severely restricting trend discovery across broader sectors or themes. Max tier also doesn’t have access to social media followers and Baidu data types among others so those ticker ideas won’t be able to be discovered.


4. Company Labels on Exploding Trends

  • Enterprise users see the view screenshotted above where keywords are automatically linked to related public and private companies directly on exploding trends.

  • Core lacks this labeling, requiring users to manually assess connections.


5. Unlimited Alternative Data Charts

  • Enterprise allows users to view an unlimited number of alternative data chart combinations across tickers, terms, and datasets. This becomes extremely useful for analyzing conglomerates. Below, we first notice how messy analyzing a company with hundreds of brands like Proctor & Gamble ($PG) becomes. On Enterprise, we have the ability to view 10 or more alt data values on one view which becomes useful when combined with "Visualization Tools”.

With “Aggregate” mode (first image below), we were able to add up each of the 14 selected brand websites together in one. “Average” mode (second image below) would show a median of all selected trends which can also be useful in many instances.

  • Core is capped at 10 series per chart, limiting deeper comparative and multi-source analysis. In other words, on Max, it wouldn’t be possible to add together 50 brands in one single line like we can do on Enterprise.


6. Unlimited Alternative Data Alerts

  • Enterprise provides unlimited alerts that notify you when key trends spike — such as a >20% increase in traffic or keyword interest YoY with an applied moving average. This allows you to fully automate your workflow, allowing analysts to be automatically reminded when a consumer trend meets specific user-defined criteria.

  • Core users are limited to just 10 alerts, constraining coverage across multiple tickers or product categories.


7. Amazon, Wiki, & Mobile App Data Types

  • Enterprise offers users Amazon Search, Wikipedia Page view, and iOS/Android (Daily Active User and App Ranking) data types, giving much more visibility into consumer search and app activity.

  • Core doesn't have these data types entirely.


8. Subdomain Data (Popular Web e.g. /login , /cart) & TickerTrends Website Traffic

  • Enterprise lets users view every subdomain of websites. For example, we see "nike.com/cart" data below. This can be useful for analyzing every sub page of a website domain, giving a level of granularity to users like never before.

Additionally, for websites that have less than 5 years of website traffic historical data, TickerTrends uses keyword search volumes to estimate website traffic to domains, creating a useful proxy value when analyzing newer companies.

  • Core doesn't have these data sources entirely.


9. Private Company Coverage

  • Enterprise extends data coverage to thousands of private companies, giving visibility into rising startups and non-public brands influencing the market. This also can allow analysts insight into analyzing what the data says for future IPOs they might be interested in.

  • Core restricts you to public companies only, leaving out key players in emerging sectors.


10. Enterprise Dashboard (Custom Tracking Pages)

  • Enterprise users gain access to a customizable dashboard where teams can create shared tracking pages around themes, tickers, or sectors. Users can add any data source the platform offers and create dashboards.

  • Core lacks this page entirely, making collaboration and large-scale coverage more difficult versus being able to track everything important to a ticker or sector at a glance in one view.


11. Sector Trends Page

  • Enterprise includes a dedicated Sector Trends page that automatically highlights rising interest across industry groups, saving time on sector-level research. Users can identify which sectors to focus research efforts on and get more granular sectors by choosing a higher “Cluster count” integer.

  • Core lacks this page entirely, requiring manual page-by-page analysis.


12. Social Discover Page

  • Enterprise unlocks the Social Discover page, which shows short-term engagement trends across all tickers and keywords, updated hourly. This is an unparalleled tool to discover short term discussion spikes in brands, linked to public tickers. Analysts can also quickly view “Related Terms” to give them context on how the keyword is being used in on social media platforms.

  • Core users do not have access to this tool and may miss early signals of viral or news-driven momentum.


13. Gen AI Enterprise Page Builder

  • Enterprise users can auto-generate full research pages with a single query, such as “running shoes” or “Garmin products,” powered by large language models doing the research for you.

  • Core, as explained before, does not even have Enterprise Dashboard access, so thus doesn’t have automated research tools like this. This may slow down idea generation.


14. Gen AI “Trend Lab”

  • Enterprise enables you to write to a chatbot, our “Trend Lab”, and quickly automate research tasks to our LLM, which will automatically add search / socials trends to a ticker for you — for example, adding “Mounjaro,” “Trulicity,” and “Zepbound” to Eli Lilly.

  • Core users must manually research brands, social media accounts, and more relevant data relating to a ticker. This means analysts must manually “Quick Add” keywords for each relevant data type, increasing workload and potential for missed terms.


15. Trend Lab Context Tool

  • Enterprise includes a Context Tool where the user is able to highlight any custom time period and generate a summary of social media conversations causing the search trend they are viewing. This allows for unparalleled insight into reasons / contextualization of "why" search interest was rising or falling in any historical period.

  • Core does not include this deeper contextualization feature.


16. Early Access to New Datasets

  • Enterprise gets first access to new datasets such as Baidu Search, giving a timing advantage over the market. TickerTrends relentlessly pushes for more datasets and Enterprise will always have priority in new ones we add.

  • Core users must wait until general release or never have access to more features than the existing feature set altogether, losing potential edge in fast-moving trend signals.


17. Collaboration Tools for Teams

  • Enterprise includes tools that support real-time team collaboration via Enterprise Dashboards Pages; an institution can choose to enable these collaboration tools which will allow Pages one user creates show up on everyone's accounts automatically. This workflow is ideal for institutions and research desks where multiple analysts can collaborate and view ticker trends together.

  • Core is limited to individual use with no native collaboration functionality.


18. TickerTrends' Proprietary Trends

  • Enterprise users get access to exclusive extra proprietary trend data like the Investor Expectation Trend and Whisper Expectation Trend on both the Analyze and Enterprise pages. These trends are custom designed to model market and investor expectations going into an earnings print to find hidden embedded expectations.

  • Core users do not see these additional prop trends, losing potential insights into embedded expectations across tickers.


19. Unlimited Proprietary Trend API

  • Enterprise users can query all proprietary trends via API with no cap, integrating data into custom workflows.

  • Core has to purchase API credits to access this raw data.


20. Reddit Subscriber & Sentiment Metrics

  • Enterprise includes Reddit-specific metrics like subscriber growth, post counts, upvotes, and sentiment analysis for ticker-relevant subreddits.

  • Core does not include Reddit sentiment or community growth data, missing a key source of social signal.


21. Excel Export

  • Enterprise users can export raw data directly to Excel for customized offline analysis, reporting, or modeling.

  • Core does not allow for native Excel export, limiting integration with internal workflows.


22. Custom Data / Data Import

  • Enterprise allows for ingestion of third-party data via API endpoint or CSV import via the Enterprise widget page — useful for trend tracking and comparison which might enhance the alternative data viewable on our platform.

  • Core does not support any form of data import or external data blending


23. Custom Features

  • Enterprise subscribers can request and receive custom features tailored to their workflow needs simply by emailing us at admin@tickertrends.io. Think of us as your personal developer team!

  • Core does not include any support for feature customization.


24. Alerts API Access

  • Enterprise includes API access for triggered alerts, enabling automated ways of receiving tickers and trends to focus on.

  • Core has no programmatic alerting or webhook functionality.


25. Personalized Training Calls

  • Enterprise includes two hours of onboarding and training with the TickerTrends team to ensure users get full value from the platform and features. We also pride ourselves on priority support if any questions arise.

  • Core includes no training calls, leaving users to learn the system on their own.


Conclusion

Enterprise is built for teams, quants, and analysts who want the full power of alternative data at scale — with automation, unlimited access, and real-time consumer trend discovery. Enterprise is designed to save analysts hundreds of hours of research time. Core is suitable for individual users starting out, but upgrading to Enterprise removes all limits and equips you to act faster on insights others miss.

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Full documentation on platform best practices however is available for anyone to read:

Full documentation:

https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/outlier-mode-on-exploding-trends
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/outlier-mode-on-exploding-trends
https://docs.tickertrends.io/tickertrends/documentation-v2/section-2-analyze/alerts
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/enterprise-kpi-dashboard-overview
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/sector-trends-page
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/social-discover-page
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/gen-ai-enterprise-page-builder
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/trend-lab-gen-ai-alternative-data-research
https://docs.tickertrends.io/tickertrends/documentation-v2/enterprise-section/tickertrends-proprietary-trends
https://docs.tickertrends.io/tickertrends/documentation-v2/section-2-analyze/alerts
https://docs.tickertrends.io/tickertrends
https://docs.tickertrends.io/tickertrends