After building a company based on understanding customer reviews, it’s no surprise that Appbot has taken its own feedback seriously…
The Appbot story started in 2011 as an app review aggregator, but this week the company introduced its latest iteration, the Custom Data Sources tool.
Focusing on the Feedback
“Our customers have been asking us how they can apply the Appbot toolkit to other sources of customer feedback,” CEO and co-founder Stuart Hall said of the recent development.
“As a result, we’ve spent the last 18 months heavily investing in AI and machine learning to provide this capability. We’ve trained our models over hundreds of millions of records with amazing accuracy, and are really excited to share these advancements with new and existing users.”
AI For the Win
With the introduction of AI based technology, the Custom Data Sources tool leverages machine learning to allow organisations to seamlessly and quickly analyse the trends of any large body of feedback.
In a major extension to the existing data sources that were available for aggregation and sentiment analysis on the platform, it now includes helpdesk tickets, social media messages, NPS surveys and over a thousand other data sources.
The Customer is King
To move from strength the strength as they have, Appbot has been guided by the cardinal rule of business – listen to your customers.
For Appbot this enviably includes mega global brands such as Twitter, Paypal, BMW and Microsoft, to name a few.
While most startups – hell, even most established local companies – won’t have a client list quite this impressive, the principle remains the same, no matter how big or small you might be.
If the rising Appbot star can teach us anything it’s that regularly and diligently seeking feedback from the people that pay you money to exist is always good business.
