Integrate Segment with AskNicely
Segment is a customer data hub that can collect and load your user tracking analytics data into a SQL database.
AskNicely is a survey tool that allows users to collect and act on real-time customer feedback using the net promoter score (NPS) framework. This helps them accurately understand their performance and increase their customer retention, reviews, and referrals.
Popular Use Cases
Bring all your Segment data to Amazon Redshift
Load your Segment data to Google BigQuery
ETL all your Segment data to Snowflake
Move your Segment data to MySQL
Bring all your AskNicely data to Amazon Redshift
Load your AskNicely data to Google BigQuery
ETL all your AskNicely data to Snowflake
Move your AskNicely data to MySQL
Integrate Segment With AskNicely Today
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AskNicely's End Points
Use simple one-touch surveys to generate valuable customer feedback. Then, use this information to create and track your Net Promoter Score (NPS) based on product, channel, rep, etc. This can help provide customer analytics both within AskNicely and in other data sources.
Utilize the survey information both to better interact with your customers and to empower your team. With the survey results, your whole company can gain an accurate understanding of customer experience and your team can take immediate action to drive retention, upgrades, reviews and referrals.
Use your NPS to track your performance over time and see the impact that your marketing and sales campaigns are actually having on customer intent.
Increase the number of customer responses with AskNicely’s automations and optimizations. Then, integrate this customer feedback with other relevant data sources to get a comprehensive overview of your customers and improve your long-term business strategies.
View important metrics for your account like your NPS and the percentage of your respondents that had positive or negative survey responses. This provides a broader view of your survey performance that can help you determine your overall business performance.