Trend Decomposition
Overview
Trend Decomposition is a deep-dive discovery tool inside TickerTrends that breaks a broad keyword, company, category, or trend into the specific underlying terms driving discussion share over time. Rather than only seeing that a topic is growing, users can identify what products, brands, creators, memes, or related terms are causing the move.
For example:
Searching Nike may reveal popular shoes, athlete collaborations, apparel lines, or campaigns.
Searching FoodTok may reveal trending restaurant chains, menu items, recipes, or creators.
Searching Prebiotic Soda may reveal brands such as Olipop, Poppi, Bloom Nutrition, or viral flavors.
Trend Decomposition is ideal for identifying market share shifts, viral products, competitive momentum, and emerging consumer behavior before it becomes obvious.
Where to Find Trend Decomposition
Search any company or keyword in TickerTrends.
Navigate to the Social Summary section.
Click the Decomposition icon in the top-right corner.
A new Trend Decomposition popup window will open.
Historical Length
Varies by source and platform. Most supported datasets include multi-year history where available.
Granularity
Trend Decomposition primarily uses monthly visual grouping with underlying daily / weekly source data depending on the platform selected.
This allows users to analyze:
Short-term spikes
Seasonal patterns
Recurring trends
Long-term market share shifts
Update Frequency
Most supported social sources refresh daily or near daily depending on platform availability.
How to Use Trend Decomposition
Main Search Bar
At the top of the popup is the main search bar.
This allows users to enter any keyword or category.
Examples:
Nike
FoodTok
Running shoes
Prebiotic soda
Protein snacks
Energy drinks
After entering a term, click Run Search.
This will generate a new decomposition based on that keyword.
Partial Match vs Exact Match
Located beside the search bar.
Partial Match
Returns broader related terms that may include variations, adjacent phrases, or loosely connected mentions.
Example for prebiotic soda:
healthy soda
soda brands
gut health drink
poppi review
Best for discovery and wider exploration.
Exact Match
Returns only terms directly associated with the exact keyword phrase.
Example:
prebiotic soda brands
prebiotic soda taste
best prebiotic soda
Best for cleaner and more precise analysis.
Sites Filter
Located in the top-right of the widget.
Users can choose which platforms to include in the search.
Examples may include:
X / Twitter
TikTok
Instagram
Reddit
LinkedIn
YouTube
Facebook
Example
If TikTok + Instagram + X are selected, the source label may display:
tt = TikTok
ig = Instagram
x = X / Twitter
This source label appears next to the keyword in the Jobs/Search row.
Use site filters to compare where a trend is strongest.
Example:
TikTok may show viral consumer products
Reddit may show detailed product opinions
LinkedIn may show professional software discussion
Viral Timeline
What It Shows
The Viral Timeline is the core feature of Trend Decomposition.
It displays top related terms underneath each monthly timestamp.
Terms are ranked from most influential to least influential based on share of discussion.
Each box represents a trending contributor for that time period.
Color Coding
Every term is color coded consistently throughout the timeline.
This makes it easy to track recurring winners over time.
Example:
If Pineapple Paradise is yellow in one month, it remains yellow in future appearances within that same timeline.
Viral Timeline Percentage Filters
Located above timeline:
0.5%
1%
1.5%
2%
These percentages represent minimum discussion share thresholds relative to the base keyword.
Lower Threshold (0.5%)
Shows more terms including smaller niche contributors.
Higher Threshold (2%)
Shows only the strongest and most influential terms.
Use lower thresholds for discovery and higher thresholds for cleaner summaries.
Word Filters
Located near the top.
Users can filter by:
All Terms
1 Word
2+ Words
Cashtag ($)
Examples
Nike
Use 1 Word to see:
Jordan
Dunks
Kobe
Use 2+ Words to see:
Air Jordan
Dunk Low
Running Shoes
Cashtag
Useful for public tickers or finance-related discussions:
$NKE
$AAPL
$TSLA
Hover and Click Functionality
Hover over or click any term in the timeline.
This opens a pop-up chart showing:
Share of voice over time
Peak month
Trend rise / decline
Historical momentum
This helps identify exactly when a product or brand began accelerating.
Ranked Results Table
Below the timeline is a sortable table of terms.
Common columns include:
Term
Absolute Share
Share Increase
Trend Chart
Use this table for precision ranking rather than visual timeline review.
Compare Terms Feature
Users can compare two or more selected terms.
How to Use
Select terms in the results table.
Click the purple Compare button.
Open the comparison chart.
What It Shows
Shared axis comparison
Separate axis comparison
Multiple time periods
Relative momentum shifts
Example Comparisons
Olipop vs Poppi
Nike Dunk vs Adidas Samba
Wingstop vs Chick-fil-A
NVIDIA vs AMD
Users can now also request for specific Dashboards to have Trend Decompositions added directly onto the interface vs going through the social summary
By clicking on any combination of the suggested terms you see, then clicking the purple compare button in the top right you will receive a comparison chart exactly the same as the one mentioned above.
Recent Posts / Underlying Discussions
Inside Compare Mode or detailed charts, users can view actual posts contributing to trend movement.
This allows users to understand:
Why a spike happened
Which creator caused momentum
Whether sentiment is positive or negative
Which products are being discussed most often
Example
If Bloom Nutrition spikes, recent posts may show users reviewing a new flavor or viral launch.
Example Use Cases
Nike
Search Nike to identify:
Most discussed shoes
Athlete endorsements
Product launches
Fashion cycles
Competitor overlap
FoodTok
Search FoodTok to identify:
Trending restaurant chains
Viral menu items
Fast-growing food creators
Seasonal menu buzz
AI Tools
Search AI tools to identify:
ChatGPT
Claude
Midjourney
Coding copilots
New entrants gaining share
Prebiotic Soda
Search prebiotic soda to track:
Olipop
Poppi
Bloom Nutrition
Flavor launches
Health positioning terms
Best Practices
Use Exact Match for cleaner investment research. Use Partial Match for discovery. Use lower thresholds for niche trends. Use higher thresholds for major drivers only. Use Compare Mode for market share battles. Use Recent Posts to validate narrative shifts.
Methodology
Trend Decomposition starts with a parent keyword and scans selected sources for related terms appearing in discussion around that keyword. TickerTrends then measures share of discussion, growth, recurrence, and persistence over time.
Values are directional and relative. They are designed to surface consumer attention shifts, competitive momentum, and emerging trends rather than represent financial disclosures or reported revenue.
Use Cases
Track products driving brand momentum. Identify rising challengers within categories. Separate temporary hype from sustained growth. Monitor social market share shifts. Discover trends before mainstream coverage. Support public and private market research.
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