Dynamic Chart Data Source Descriptions

Tiktok View Trend - The Tiktok data type shows users monthly hashtag volume on the tiktok platform. On "Compound" mode, the user is shown completed month values.

On "Individual" mode, the user is shown incomplete values, which are projected values for the month extrapolating how the period is going far for that hashtag. Users can select any "Region", "Period", or "MA" listed.

Above we also see the "Top Regions", "Related Interests", and "Age Range" highlighting demographic data about the hashtag searched.

Also note that the selected term here is "celsius". Terms selected are shaded green, while terms the user adds to their account are shown in purple. The TickerTrends auto generated terms are shaded gray.

Amazon Search Trend - The Amazon data source displays Amazon monthly sales data for the keyword selected. In "Compound" mode users see the latest month's total unit sales volume for the product.

In "Individual" mode, users see the granularity of what specific products are selling how much volume in chart format and scrolling below get even more table formatted data about volume, price, ratings, and reviews.

Users can hover over the text in the legend and see the bestsellers and trends in product sales.

There is also a table that shows users the raw monthly sales data and more granular data about the product on Amazon. Clicking "Inv" on the bottom left side of the chart above will clear the fields from the Dynamic Chart and let the user view individual categories one-by-one.

There is also more metadata about each search phrase including: "Term", "Last Month Volume", "Median Price", "Average Rating", and "Average Reviews".

Search Trend - The Search Trend shows Google Trends weekly data to users, displaying interpolated values. Users can utilize all the tips and tricks mentioned above in "Visualization Tools" such as "Interval", "YOY", "Stacked YOY", "Volumetric", "Average", "Aggregate", "Get 3 Month Daily Trend Data", "Force Update", etc.

As described previously in the "Compound vs Individual Mode" section, all Google Trend suite filters can be applied in Individual Mode when the Apply Filters button is pressed after the user adjusts the search parameters to their liking.

Youtube Search Trend - The Youtube data shows users weekly interpolated data on a selected youtube search term. In Compound Mode, it shows the Youtube Search Volume raw data.

Similarly to Search Trend in Individual Mode, the Youtube Search Trend also allows the user to modify the filters. Below we modify the Filter to only show the last 5 years in the United States with a 30 day moving average applied.

Web Traffic Trend - The website traffic data source, powered by Similarweb, shows users daily values for estimated website visits. This remains the same in both Compound and Individual Modes.

Popular Web: The Popular Web data source represent subdomain data, only available to TickerTrends' Enterprise client base. Subdomain data involves website traffic for / subdomains including /cart and /login pages. In Compound Mode, in this example shows for "nike.com/cart" visits. When adding Popular Web terms, write the "/{subdomain word}" "+{website domain(s)".

In Individual Mode, every individual variation of the website containing "/cart" is shown.

Reddit Subscribers - Reddit subscribers shows users the daily net change in Reddit subscribers to the subreddit chosen. Sometimes, a subreddit will be N/A or not have enough data to display and warn the user of no data.

Reddit Post: The Reddit Post data type shows users the daily number of posts on any entered subreddit in Compound Mode.

In Individual Mode, users see more granularity such as "Upvotes", "Posts", and "Sentiment" all based on the chosen subreddit.

Google Shopping Trend - The Google Shopping data source shows Google Shopping daily search volume for a term indexed from 0 to 100 just like the rest of the Google Trends suite.

Wiki View Trend - The Wikipedia data source shows daily Wikipedia page view data.

Images Search Trend - The Images Search data source shows users Google Images data, weekly interpolated, for Google Images searches.

iOS Usage Trend - The iOS data source shows users data from the Apple App Store. In Compound Mode, users see the daily active users of the chosen app as shown below. In Individual Mode, users see "Top Free" App Rankings (Red) and DAUs (Black).

Android Usage Trend - The Android data source shows users data from the Google Play Store. In Compound Mode, users see the daily active users of the chosen app as shown below.

In Individual Mode, users are able to Google Play Store rankings data as well as Daily Active User data simultaneously.

SEO Web Trend - The SEO Web Trend data source represents the search optimizability of the selected keyword, with higher values being good. This data source is similar to Google Trends values and website data.

SEO News Trend - The SEO News Trend data source represents the search optimizability of the selected keyword's related news article, with higher values being good. A higher value would indicate more news visibility on Google.

SEO Ecommerce Trend - The SEO Ecommerce Trend data source represents the search optimizability of the selected keyword's related websites, with higher values being good. A higher value would indicate more website sales visibility on Google.

Job Postings: The Job Postings data source shows the daily number of job postings a company makes across a critical mass of job posting aggregation websites. This shows potential company hiring trends, a potential indicator for if demand for a company's products or service are strong or whether to expect mass layoffs coming soon.

TickerTrends Web Traffic: TickerTrends Website traffic is is based on search volume of an aggregation of terms that the website ranks for. This aggregation is plotted as a daily time series and represents a synthetic proxy of a main domain's website visits on a daily basis. Essentially, this can be thought of as a synthetic website traffic daily value, especially useful for websites that have not been around for multiple years!

Instagram Followers: The Instagram Followers data source shows a time series of the daily instagram followers gained for any instagram account page. In Compound Mode, the daily number of follower change for the specified account is shown.

In Individual Mode, many more fields are shown such as "Followers", "Following", "Media", "Avg_Likes", and "Avg_Comments" — all daily change data values for the chosen account.

YouTube Followers: The YouTube Subscribers data source shows a time series of the daily youtube subscribers gained or lost for any youtube channel per day.

TikTok Followers: The TikTok followers data source shows a time series of the daily tiktok followers gained or lost for any tiktok account. In Compound Mode, the daily change in Tiktok followers is shown as time series.

In Individual Mode, users see more granular fields such as "Followers", "Following", "Likes", and "Uploads".