# 2.1 Coverage Overview

One of the most common questions we get is about historical length, granularity, and update frequency. Below is a summary comparison of our key datasets:

| Data Type                                                 | Historical Length                 | Granularity               | Update Frequency            |
| --------------------------------------------------------- | --------------------------------- | ------------------------- | --------------------------- |
| **Google Search**                                         | 2004-present                      | Weekly                    | Weekly                      |
| **Amazon Search**                                         | 2+ years                          | Monthly                   | Monthly                     |
| **YouTube Search**                                        | 2008-present                      | Weekly                    | Weekly                      |
| **YouTube Followers**                                     | Since YouTube channel inception   | Daily                     | Daily                       |
| **Instagram Followers**                                   | Since Instagram account inception | Daily                     | Daily                       |
| **Web Traffic (Main Domain)**                             | 2+ years                          | Daily                     | Weekly                      |
| **Website Traffic (Domain Path)**                         | 2+ years                          | Daily                     | Monthly                     |
| **Mobile App Usage (USA & Global WAUs - iOS & Android)**  | 2+ years                          | Weekly                    | Monthly                     |
| **Mobile App Store Rankings (Top Free Charts)**           | 2+ years                          | Daily                     | Weekly                      |
| **Android App Review**                                    | 2+ years                          | Daily                     | Daily                       |
| **TikTok Hashtag View**                                   | 3 years                           | Monthly (Daily Available) | Monthly                     |
| **TikTok Followers**                                      | Since TikTok account inception    | Daily                     | Daily                       |
| **Reddit Subscribers**                                    | Since Subreddit account inception | Daily                     | Daily                       |
| **Reddit Post**                                           | Since Subreddit account inception | Daily                     | Daily                       |
| **Wikipedia (Page Views)**                                | Since Wikipedia page inception    | Daily                     | Daily                       |
| **Financial Data (Consensus, Estimates, News Sentiment)** | Varies (via external feeds)       | Quarterly, Monthly, Daily | Varies (via external feeds) |

**Data Integrity and Normalization**\
We preserve raw data as closely as possible to the original source to ensure accuracy and transparency. Unlike many providers that pre-normalize datasets, our approach keeps the underlying signals intact. Normalization is applied only within our KPI forecasting models, where it is necessary to align disparate signals into a unified framework for predicting company performance. This way, users always have access to both the raw, unadjusted data for direct analysis and the normalized outputs used in KPI forecasts.