Historical backfills for Listening Topics

Updated 


Make informed decisions with historical context & dig deeper to surface accurate insights.


Data-driven research provides an accurate analysis & drives business decisions with actionable insights. If any message, post, or article is being analyzed in isolation it misses the associated context and leads to an error-prone analysis that is based upon assumptions & a skewed dataset. This lead to inefficient monitoring and research thereby affecting the brand objective. Therefore historical data is an important factor in key business decisions.


Historical backfills can be leveraged for all the use cases ranging from exploring market insights, consumer insights, competitive intelligence, understanding trends, strategizing for product development/launches, and driving marketing campaigns to get the full context and make informed decisions.


Sprinklr allows you to leverage its repository of historical data on listening queries. This enables you to build historical context and understand the trend for your brand or research subject.

Historical coverage across sources

Sprinklr offers historical coverage varying across different sources depending on the API Limitations & addition of data in the Sprinklr repository.


Topic backfill data is available from the following time periods for the below-mentioned top sources –

Source

Time Period

Twitter

90 Days

Facebook

Available from the time of page addition to the repository

Instagram

Not available (API Limitations)

Reddit

90 Days

Quora

90 Days

Reviews

90 Days

News

90 Days

GlassDoor, TripAdvisor, Google Play Store, Apple App Store, Google Reviews

90 Days