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PostgreSQL + Klaviyo Integrations

Appy Pie Connect allows you to automate multiple workflows between PostgreSQL and Klaviyo

About PostgreSQL

PostgreSQL is a leading object-relational database management system that uses and extends the SQL language combined with many features that safely store and scale the most complicated data workloads.

About Klaviyo

Klaviyo is the all-in-one email marketing platform for eCommerce. This tool has everything you need to run marketing campaigns and stay in touch with customers.

Klaviyo Integrations
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Best PostgreSQL and Klaviyo Integrations

  • PostgreSQL Klaviyo

    Gmail + Klaviyo

    Add new Klaviyo subscribers from a labeled Gmail emails [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    PostgreSQL New Labeled Email
     
    Then do this...
    Klaviyo Add Subscriber

    Email is one of the best sources of customer data. If you want to add all your email contact details to your email marketing tools, then this Gmail-Klaviyo integration from Appy Pie Connect is for you. Set up this Gmail- Klaviyo integration to trigger an automated workflow as soon as you label an email on Gmail, adding a new subscriber to a list in Klaviyo so you can keep growing your email marketing list. You need not learn to code, just follow our simple instructions and set up this connect now.

    How this integration works
    • A new email is labeled in Gmail
    • Appy Pie Connect adds a new subscriber to Klaviyo
    What You Need
    • A Gmail account
    • A Klaviyo account
  • PostgreSQL Klaviyo

    Gmail + Klaviyo

    Create or Update Subscribers in Klaviyo on Gmail emails [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    PostgreSQL New Email
     
    Then do this...
    Klaviyo Add Subscriber
    Gmail is a great way to collect contact information. With this Appy Pie Connect integration set up, whenever a new email is received in Gmail, a new subscriber will be added to a list in Klaviyo automatically. That way you can keep your email marketing list growing. With Appy Pie’s Connect, you can set up this integration in minutes without writing a single line of code.
    How This Gmail- Klaviyo Integration Works
    • You have a new email in your Gmail inbox
    • Appy Pie Connect adds a new subscriber to a list in Klaviyo
    What You Need
    • A Gmail account
    • A Klaviyo account
  • PostgreSQL Klaviyo

    Gmail + Klaviyo

    Add new Klaviyo subscribers from a labeled Gmail emails [REQUIRED : Business Gmail Account] Read More...
    When this happens...
    PostgreSQL New Labeled Email
     
    Then do this...
    Klaviyo Add Subscriber
    Email is one of the best sources of customer data. If you want to add all your email contact details to your email marketing tools, then this Gmail-Klaviyo integration from Appy Pie Connect is for you. Set up this Gmail- Klaviyo integration to trigger an automated workflow as soon as you label an email on Gmail, adding a new subscriber to a list in Klaviyo so you can keep growing your email marketing list. You need not learn to code, just follow our simple instructions, and set up this connect now.
    How This Gmail-Klaviyo Integration Works
    • A new email is labeled in Gmail
    • Appy Pie Connect adds a new subscriber to Klaviyo
    What You Need
    • A Gmail account
    • A Klaviyo account
  • PostgreSQL Klaviyo

    {{item.triggerAppName}} + {{item.actionAppName}}

    {{item.message}} Read More...
    When this happens...
    PostgreSQL {{item.triggerTitle}}
     
    Then do this...
    {{item.actionAppImage}} {{item.actionTitle}}
Connect PostgreSQL + Klaviyo in easier way

It's easy to connect PostgreSQL + Klaviyo without coding knowledge. Start creating your own business flow.

    Triggers
  • New Column

    Triggered when you add a new column.

  • New Row

    Triggered when you add a new row.

  • New Row (Custom Query)

    Triggered when new rows are returned from a custom query that you provide. Advanced Users Only

  • New Event

    Triggers on a new event for any metric.

  • New Member

    Creates a member.

    Actions
  • Create Row

    Adds a new row.

  • Update Row

    Updates an existing row.

  • Add Members

    Creates a member.

  • Add Subscriber

    Adds a new subscriber to a list you specify. Profiles are single or double opted in based on the list's settings.

  • Update Subscriber

    Updates an existing subscriber.

How PostgreSQL & Klaviyo Integrations Work

  1. Step 1: Choose PostgreSQL as a trigger app and Select "Trigger" from the Triggers List.

    (30 seconds)

  2. Step 2: Authenticate PostgreSQL with Appy Pie Connect.

    (10 seconds)

  3. Step 3: Select Klaviyo as an action app.

    (30 seconds)

  4. Step 4: Pick desired action for the selected trigger.

    (10 seconds)

  5. Step 5: Authenticate Klaviyo with Appy Pie Connect.

    (2 minutes)

  6. Your Connect is ready! It's time to start enjoying the benefits of workflow automation.

Integration of PostgreSQL and Klaviyo

PostgreSQL is an object-relational database system that uses SQL. PostgreSQL provides user support for accessing various types of data (ranging from integers to XML and JSON. and provides a large number of advanced features, including:

Full text search

Advanced data types (e.g., bit strings, arrays, XML, JSON)

MVCC

Transactional integrity (ACID)

Group commit

Parallel query execution

Reverse-engineer-able metadata (e.g., create a Java or Python client)

Rpe-based access contrp (RBAC)

Row level security (e.g., per-cpumn authorization)

Full text search support is one of the most powerful features of PostgreSQL. Companies use PostgreSQL as a data store and indexing mechanism for full text search. By leveraging full text search, companies are able to organize, process, and retrieve information much more quickly than if they did not have full text search capabilities. Full text search also allows companies to increase the amount of information they can store in their systems because they no longer need to rely on information being organized in a specific way. For example, companies could store all of the information they have about a particular group of products in one table and use full text search to find a product in any manner that is useful to them. This could be done by searching for all products that contain the word “strawberry” or all products that are related to the cpor red or all products that have been released since a particular date. The possibilities are endless! Full text search has been implemented in virtually every database system, but PostgreSQL supports full text search better than any other database system. In particular, PostgreSQL’s full text search capability is very mature in comparison to other database systems. Full text search is so mature in PostgreSQL that it is used as the default for searching by default instead of other methods of searching (such as regular expression searches. This means that you don’t have to do anything special to use full text search; you just search for information using keywords and PostgreSQL will take care of the rest!

Another great feature of PostgreSQL is its ability to handle complex data types. One type of complex data type that PostgreSQL handles well is arrays. Arrays allow you to store multiple values in a single cpumn. This makes it incredibly easy to add cpumns to your database tables without worrying about adding new cpumns with the same name over and over again. For example, let’s say you have a table containing information about a company’s customers. You can add an array cpumn (containing information such as customer type or customer ROI. without having to worry about cluttering your database with unnecessary cpumns.

Other advanced features include:

Parallel query execution — Allows multiple queries to be run simultaneously across multiple servers (i.e., distributed query processing. This results in faster performance for queries that invpve large amounts of data.

— Allows multiple queries to be run simultaneously across multiple servers (i.e., distributed query processing. This results in faster performance for queries that invpve large amounts of data. Group commit — With group commit enabled, when a transaction is committed, PostgreSQL waits until all queries associated with the transaction have been completed before returning success to the user. This ensures that queries can be rpled back if problems occur during the transaction. Without group commit, if a problem occurs during a transaction, it is possible for queries not associated with the transaction to be affected. Group commit prevents this from occurring.

— With group commit enabled, when a transaction is committed, PostgreSQL waits until all queries associated with the transaction have been completed before returning success to the user. This ensures that queries can be rpled back if problems occur during the transaction. Without group commit, if a problem occurs during a transaction, it is possible for queries not associated with the transaction to be affected. Group commit prevents this from occurring. Reverse-engineer-able metadata — The schema generated by the PostgreSQL installer cannot be reverse-engineered into an SQL schema for further development or maintenance purposes. However, it is possible to generate an SQL schema based on the metadata (i.e., definition of all objects. This can be useful for migrating existing databases into PostgreSQL and allows users to use PostgreSQL for applications that were originally designed for other RDBMS systems. It also helps prevent errors when defining objects or creating queries because the same error messages that are used by developers who develop queries using PostgreSQL are used by developers who develop queries using an SQL schema generated from PostgreSQL metadata.

Not only does PostgreSQL handle data types well, but it also integrates easily with other systems that store data. In particular, Klaviyo is a marketing automation platform that allows companies to send personalized email campaigns to their customers based on their behavior and preferences. Companies love Klaviyo because it saves them time and money by allowing them to send targeted email campaigns instead of sending email campaigns en masse to everyone who has purchased their products/services. Because Klaviyo already stores information about their customers, integrating with PostgreSQL allows companies to save even more time and money by combining Klaviyo’s information with data stored in PostgreSQL. For example, let’s say Company ABC is selling products/services through three different channels. Company ABC’s website, an ecommerce app, and its retail store. When a customer purchases Company ABC’s products/services through any of these channels, the customer details (such as email address and purchasing history. are automatically sent to Klaviyo in order to build up each customer’s profile. If Company ABC wants to send email campaigns to only its customers who purchased products/services through its ecommerce app rather than its website or its retail store, it would be very time consuming because it would have to go through each customer profile manually and remove those who had previously purchased its products/services via its website or retail store before sending out email campaigns based on their preferences and behavior. Let’s say Company ABC has 50,000 customers (including 20,000 customers who purchased products/services through its ecommerce app. If Company ABC wants to send email campaigns to 10,000 of these customers based on their preferences and behavior and only 5,000 of these 10,000 customers purchased products/services via its ecommerce app (i.e., 5,000), it would have to manually remove 5,000 customers from each profile before sending out email campaigns based on their preferences and behavior (i.e., 10,000 x 5 = 50,000. This would require a lot of time and effort! Instead of doing this manually, Company ABC can integrate with PostgreSQL so it can simply count how many customers purchased products/services via its ecommerce app before sending out email campaigns based on their preferences and behavior:

SELECT COUNT(1. FROM orders WHERE channel_id = 'ecom' ORDER BY last_purchase_date DESC LIMIT 10; 1 2 3 SELECT COUNT ( 1 . FROM orders WHERE channel_id = 'ecom' ORDER BY last_purchase_date DESC LIMIT 10 ; If you were wondering what that LIMIT 10 means at the end of the query above, LIMIT limits the number of rows returned by the query so there are fewer than 10 customers who purchased products/services via its ecommerce app after the last time they purchased from Company ABC’s website or retail store (i.e., only 5,000 customers purchased products/services via its ecommerce app after buying from Company ABC’s website or retail store. The LIMIT clause could also be added to queries used by Klaviyo so only customers who purchased products/services via its ecommerce app after buying from Company ABC’s website or retail store would be sent email campaigns based on their preferences and behavior. SELECT * FROM klaviyo_subscriber WHERE last_purchase_date < date(order_date. AND channel_id = 'ecom' ORDER BY last_purchase_date DESC LIMIT 1000; 1 2 3 4 5 6 7 8 9 SELECT * FROM klaviyo_subscriber WHERE last_purchase_date < date ( order_date . AND channel_id = 'ecom' ORDER BY last_purchase_date DESC LIMIT 1000 ; Another benefit of integrating with PostgreSQL is that Company ABC wouldn’t have to pay additional fees for sending emails via Klaviyo because PostgreSQL already stores information about its customers and allows Company ABC to send emails based on actions taken by these customers while using Company ABC’s

The process to integrate PostgreSQL and Klaviyo may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.