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Integrations

Sync data from
Firebolt to Reply.io

Connect your data from Firebolt to Reply.io with Hightouch. No APIs, no months-long implementations, and and no CSV files. Just your data synced forever.

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Firebolt.
Hightouch sync.
Reply.io.

Trusted by data teams at

Integrate your data in 3 easy steps

  1. 01

    Add your source and destination

    Connect to 15+ data sources, like Firebolt, and 125+ destinations, like Reply.io.

    Firebolt.

    Connect

    Connector beam.
    Reply.io.

    Log in

  2. 02

    Define your model

    Use SQL or select an existing dbt or Looker model.

    Define your model
  3. 03

    Sync your data

    Define how fields from your model map to Reply.io, and start syncing.

    Firebolt.
    Connector beam.
    Reply.io.
    Firebolt.

    email

    Connector beam.
    Reply.io.

    email

    Firebolt.

    name

    Connector beam.
    Reply.io.

    name

    Firebolt.

    total_orders

    Connector beam.
    Reply.io.

    all_orders

    Firebolt.

    last_login

    Connector beam.
    Reply.io.

    last_login

Model your Firebolt data using any of these methods

  • dbt Model Selector

    Semi-opaque, open dropdown with three example dbt model names such as 'dbt.model.name.1'.

    Sync directly with your dbt models saved in a git.

  • SQL Editor

    Empty SQL editor.

    Create and Edit SQL from your browser. Hightouch supports SQL native to Firebolt.

  • Table Selector

    Semi-opaque open dropdown with three example table names such as 'schema.table.name.1'.

    Select available tables and sheets from Firebolt and sync using existing views without having to write SQL.

Why is it valuable to sync Firebolt data to Reply.io?

Lifecycle marketing platforms like Reply.io are built on omnichannel experiences and multiple touch points. They allow marketers to experiment and iterate at a moment's notice. However, to build personalized experiences for your customers, you first need access to the rich behavioral data in your data warehouse.

This might include data models built around unique objects in your business like workspaces, subscriptions, playlists, or even custom audiences your data team has defined based on core metrics like items in cart, pages viewed, average order value, time spent in-app, etc.

To truly convert new users and retain existing customers, you need to build customized experiences that feel unique to each user. Usually, this includes sending custom emails, SMS messages, push notifications, or even web notifications.

For example, if you want to encourage users who abandoned their shopping cart in the last seven days to complete their purchase, you might want to send an email letting them know your stock is running low. Maybe you want to target new users with a special offer through an in-app/on-browser notification, or perhaps you simply want to send an SMS notifying your customers that their order has shipped.

Either way, the only complete 360-degree view of your customer lives in your warehouse. Your lifecycle marketing tool is only as good as the data you give it. If you want to offer the best possible experience to your customers, you need to take advantage of the data in your warehouse.

Why should you use reverse ETL to connect Firebolt and Reply.io data?

Whenever your marketing team wants to launch a new campaign, the typical process is to request a specific data set from your data team (e.g., can you give a list of every user who's visited our pricing page over the last seven days?) One-off requests like these are frequent, and each one pulls away from high-value work your data team could be doing.

To facilitate this, your data engineers must download ad-hoc CSV files so your marketing team can upload that data into Reply.io. Alternatively, your data team might build and maintain custom pipelines to consistently ingest that data into Reply.io. The problem is CSV files aren't fresh, and data pipelines are prone to failure because integrating with third-party APIs is hard.

Ultimately, your marketers want to self-serve, and that's only possible with Reverse ETL. With Hightouch, you can leverage your existing data models (e.g., lifetime value, last-login date, workspaces, annual recurring revenue, etc.) in your warehouse and sync that data directly to fields in Reply.io. You can schedule your syncs to run sequentially or define a set cadence (e.g., running your syncs while your marketing campaign is in progress.)

Hightouch has a visual audience builder so your marketers can self-serve and build custom audiences using the parameters your data team has set. If any of your rows fail, Hightouch will automatically retry them later in the next sync. You can easily view all of your API payload requests/responses in a live debugger, and your sync logs can be written back directly to Snowflake. Ultimately your lifecycle marketing tool is only as good as the data you give it.

Keep your Reply contact lists up to date with the freshest data from your warehouse

Sync customer and lead data to build out and automate email campaigns with a personal touch at scale

Create a more unified view of your Reply contacts by incorporating data from other touchpoints

Firebolt.

About Firebolt

Deliver production grade data applications & analytics with Firebolt - the cloud data warehouse for modern data engineering & dev teams

Learn more about Firebolt
Reply.io.

About Reply.io

Reply is a sales engagement platform that helps you automate & scale multichannel outreach, so you can generate more leads, acquire new customers and grow revenue faster.

Learn more about Reply.io

Other Firebolt Integrations

Firebolt to Yahoo DSP

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  • Create Facebook Lookalike Audiences from High Value Users.

    Create Facebook Lookalike Audiences from High Value Users

    In this playbook, you will learn how to use Hightouch to sync an audience of high-value customers to Facebook to generate lookalike audiences.

  • Sync Nested Object Data to Braze.

    Sync Nested Object Data to Braze

    This playbook will help you understand how and why you should be leveraging nested object arrays in Braze to deeply personalize your omnichannel marketing campaigns.

Read more about Hightouch

  • What is Reverse ETL? The Definitive Guide .

    What is Reverse ETL? The Definitive Guide

    Learn everything there is to know about Reverse ETL, how it fits into the modern data stack, and why it's different than ETL.

  • What is Operational Analytics & Why You Should Use It.

    What is Operational Analytics & Why You Should Use It

    Operational Analytics shifts the focus from simply understanding data to taking action on it in the tools that run business processes. Instead of using dashboards to make decisions, Operational Analytics is focused on turning insights into action – automatically.

  • dbt Cloud: 4 Reasons for Data Teams to Embrace it.

    dbt Cloud: 4 Reasons for Data Teams to Embrace it

    The biggest benefit that dbt Cloud offers to data teams and analytics engineers? Freedom from distractions, and the ability to focus where you can add unique value making sense of your company's data.

Activate data to any of your marketing and advertising tools

Austin Hay.

This might be one of the greatest inventions for technical marketers since the advent of legacy CDPs back in 2015.

Austin Hay

Austin Hay

Head of Marketing Technology

Ramp

Your data is always secure

Unlike other SaaS tools, Hightouch never stores any of your data.
SOC 2 Type 2 compliant.

SOC 2 Type 2 compliant

Your data stays secure, available, and confidential. To see our report, .

GDPR compliant.

GDPR compliant

If you’re in the EU, your data is only processed on EU data centers.

HIPAA compliant.

HIPAA compliant

Healthcare companies like ThirtyMadison, Chapter Health, and Headway trust Hightouch.

CCPA compliant.

CCPA compliant

To see our DPA (Data Processing Addendum), .

52%

increase in return on ad spend

20%

improvement in email engagement

60%

lift in customer acquisition

Ready to activate your data?

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