Integrate Promoter.io to Amazon Redshift
Promoter.io generates a Net Promoter Score (NPS) for companies by sending their customers surveys and using the results to segment them into promoters, passives, and detractors. It can also evaluate written customer feedback - assessing it for positivity and negativity - and allow users to add relevant tags to customer responses. Users can then view an analytics dashboard in Promoter.io to track a company’s NPS over time and monitor the emergence of various response trends.
Integrate Promoter.io to Amazon Redshift
Popular Use Cases
Xplenty can extract any data that you need from Promoter.io. Here are some of our most popular use cases:
Create or retrieve data about a contact, including their name, contact ID, email, and any attributes that have been assigned to them. Then, use those attributes to filter your NPS analytics so that they show company performance within a more specific set of parameters.
Set up an email campaign on Promoter.io by providing the name of the campaign, the dates it will run, and the contact list the campaign is being sent to. Then, specify whether to survey the entire contact list or only contacts that haven’t been surveyed yet. This will allow you to create specialized campaigns for the new recipients on your lists.
Retrieve customer feedback that Promoter.io has collected, including the contact information for the respondee, the score they chose, any comments they left, and whether those comments are positive or negative.
Create or modify a list of recipients that you wish to survey. You can choose to allow Promoter.io to automatically add contacts as you survey them, or you can integrate Promoter.io with an existing contact list that you wish to survey.
Personalize the email templates used for your survey campaigns by branding them with your logo, writing introductions to the survey questions, or specifying what products or companies the surveys are for.
Why We Like Amazon Redshift
Redshift’s Massively Parallel Processing (MPP) allows it to run queries more quickly and efficiently than ever before.
Most of the analytic tools that companies use today are SQL, and Redshift is SQL compatible. That means that the platform can leverage your existing tools quickly and efficiently.
The warehouse is incredibly scalable and flexible - allowing you to scale from single 160GB nodes all the way up to 16TB nodes - which means that it’ll handle whatever changes your business may require.
Redshift has no up-front costs, no long-term commitments, and an on-demand pricing structure, making it one of the most cost-effective choices out there.
Xplenty helps us to extract data from different sources, modeling them to our needs and then loading them where we want, scheduling tasks on demand for automation. The abstractions make it easier to work with, even to people with more knowledge on tech. Aside from that, their support is very good, and this makes a big difference for all levels of users and companies.
Why Our Customers Choose Xplenty
We take ownership of your data pipelines. That means that our platform will ensure that your data continues to flow and that your pipelines won’t break - and, if they do break, it’s our problem, not yours. So rest easy knowing that Xplenty has got you covered.
Xplenty offers you full flexibility when it comes to how much control you have over the process of data integration. That means that you choose exactly what data will be delivered, how it’s going to be delivered, and when.
Ease of Use
You don’t have to be tech-savvy to use Xplenty. There’s no code, no engineering and no need to worry about messing up your data delivery.
Data integration used to be the domain of IT, data developers and BI. Xplenty changes all of this, allowing every team within a company - marketing, sales, product, finance, HR, etc. - to use the platform to power their analytics and gain important business insights.
Xplenty and Amazon Redshift
Xplenty's data integration service can read data from and write data to Amazon Redshift securely and easily, allowing users to transform and load data directly from any data store into an Amazon Redshift instance. Xplenty can also be used to offload ETL workload from Redshift, allowing each platform to do what it does best: Xplenty for data integration and data preparation and Amazon Redshift for real-time querying.