Monitor the market, track the level of customer satisfaction and stay updated on the most discussed topics by customers.
Get insights about your business and receive real time alerts to intervene immediately.
Starting from reviews and conversations, extrapolate trend topics, with a sentiment value at the level of a single sentence and single topic, with a high accuracy managing to grasp nuances in the sub-text.
Through a bottom-up analysis it is possible to drive the appropriate caring and marketing actions on segmented customers, based on sentiment indicators. You can also easly integrate data with your CRM platforms.
App stores represent an important source of spontaneous feedback about a service, but the rating is not a realistic measurement of consumer opinions. App2check offers instead a complete evaluation of user feedback: allows you to extract the most relevant topics, to learn what your custumers appreciate or not and to know possible criticisms, thanks to semantic and sentiment analysis.
Thanks to App2check you can collect and review user opinions about all retail store outlets through reviews left on Google Maps and promptly intervene on most relevant and critical topics, to to enhance your brand image and the individual store service experience. The analysis also allows you to compare the results with those of other brands competitors.
App2check supports companies by extracting valuable information on CX analyzing the large amount of data present in the conversations recorded between customers and the different corporate channels inbound and outbound.
Social network are another great source of information about opinions and custumer satisfaction of a service or a brand.
Product reviews on sale on e-commerce channels App2check is a convenient tool to analyze all the reviews and be beneficial to on e-commerce websites
You can easly upload any file in CSv format to analyze opinions released by customers on digital channnel and private conversations
on each keyword (eg. “payments), on specific topics/themes (eg.” on-boarding”) and on the entire comment (overall sentiment)
of the most mentioned ones, divided between “positive” and “negative”
showing a Rating vs Sentiment plot and the sentiment evolution of topics
of “topics” and “themes” in apps belonging to the same or a different mobile market (e.g. mobile banking, games, telco, etc.)
to each single comment, showing its rating and sentiment, and highlighting the most discussed topics mentioned in the comment and their specific sentiment
according to specified filters (e.g. app version, time range, app store, etc) to select and view overall app data
apps between them and ranking according to different criteria
of apps, allowing an aggregated view of data
in PDF and Excel, and automatic daily email with the main app data
Good reasons why you should care about customer reviews
of consumers trust online reviews as much as personal recommendations
of consumers now read online reviews
of consumers search a business by reviews at least one time per month
of unhappy customers return to your business if a business resolves its issue quickly and efficiently
