Prebuilt Connectors

Push Zeta-generated audience insights into AWS Datalake for machine learning applications.

Sync data from BigQuery (Google’s cloud data warehouse) into Zeta to enrich customer profiles with offline or aggregated data; import curated datasets from BigQuery into Zeta to improve segmentation and personalization.

Query and fetch data via Dremio from a data lake, then send the results into Zeta to update marketing data – for example, use Dremio to aggregate user behavior from log files and load that summary into Zeta to adjust campaign targeting. (This is a specialized scenario since Dremio is a data virtualization tool.)

Stream customer data from DynamoDB (NoSQL database) into Zeta to keep profiles up-to-date – for instance, if you have user preferences or behavior logs in DynamoDB, replicating them to Zeta enables more personalized campaigns; use DynamoDB as a source for event data (e.g. game/app events) that Zeta can act on for messaging triggers.

Sync Zeta user interactions to DynamoDB for instant access by applications.

Backup customer lists and campaign reports from Zeta for compliance and external processing.

Update Firestore records with Zeta segmentation data for mobile personalization.

Trigger real-time customer workflows by sending Zeta event data to Google PubSub.

Extract business data from Microsoft Dataverse (used in Power Platform/Dynamics 365) into Zeta to enrich the marketing database – for example, bring over customer entities or engagement insights stored in Dataverse into Zeta for more informed segmentation; keep Zeta in sync with Dataverse so that contacts and attributes remain consistent across sales, service, and marketing.

Update customer profiles in MongoDB based on Zeta campaign interactions.

Sync Zeta audience lists with an MSSQL database for internal marketing teams.

Import relevant customer data from an Oracle operational database into Zeta to combine legacy system data with marketing profiles; for instance, load loyalty program data or offline customer records stored in Oracle into Zeta so those contacts can receive targeted campaigns.

Bring content recommendation and metrics from Outbrain into Zeta to assess user engagement across channels; for example, if certain users consistently click Outbrain content ads, add them into a Zeta segment for follow-up content via email.

Sync data from Amazon Redshift (cloud data warehouse) into Zeta to supplement customer profiles with analytics data or large-scale records; for example, export a segment of high LTV customers from Redshift and import into Zeta to target them with a special campaign.

Ingest unified customer event data from Segment (a customer data platform​) into Zeta to drive personalized campaigns with comprehensive user profiles; use Segment to gather multi-source behavioral data into Zeta for more precise marketing activation.

Sync consolidated customer data from Snowflake (cloud data warehouse) into Zeta to enrich profiles with analytics or offline data; pull segmentation lists or aggregated metrics from Snowflake into Zeta to improve targeting and personalization in campaigns.

Store Zeta campaign performance and customer engagement data for advanced analytics.

Load customer data files (CSVs, etc.) from GCS into Zeta to update or augment contact lists on a scheduled basis; use GCS as a staging area for exporting large data sets (user attributes, transaction logs) and importing them into Zeta for campaign use.

Send Zeta customer segmentation data to Snowflake to enable cross-channel marketing analysis.

Export email and customer activity logs from Zeta to Redshift for BI and reporting purposes.

Continuously import user data from a MongoDB database (often used for product/customer data stores) into Zeta to keep marketing profiles updated with the latest customer information; use MongoDB as a source of event data (e.g. app events) that Zeta can ingest and trigger campaigns from.

Pull customer or order records from a MySQL database into Zeta so that marketing has the latest information from the company’s primary app/website database; use MySQL data (such as a loyalty status flag stored in a user table) to create or update segments in Zeta for targeted messaging.

Sync data from a PostgreSQL database (for example, an internal user database or order system) into Zeta, ensuring that new or updated customer records are reflected for marketing use; utilize Postgres as a source for custom events or attributes (like a user’s last login date) that Zeta can use in campaign logic.

Sync Zeta contact records with Postgres for integration with internal marketing tools.

Import large datasets (e.g. nightly customer data exports) from Azure Blob Storage into Zeta to update contacts or campaign data in bulk; use Blob Storage as an intermediate stage to transfer on-premise or external data (like a list of new customers) into Zeta for marketing activation.

Use Zeta engagement metrics to train predictive models in Databricks.

Use Google Sheets as a lightweight database for marketing: new lead info or subscription lists maintained in Sheets can be pulled into Zeta (instead of manual CSV export) to update campaigns; automate syncing of a Google Sheet (e.g. containing event sign-ups or webinar attendees) into Zeta so those contacts immediately flow into the appropriate email workflows.

Import customer data from an MSSQL database into Zeta, similar to MySQL/Postgres use cases – ensure that any data stored in corporate MS SQL databases (like user info, order history) is regularly synced to Zeta for campaign usage; for example, nightly sync of new customers from an MSSQL ERP into Zeta to receive welcome emails.

Use Amazon S3 to store data exports (e.g. daily user sign-ups, or large historical data dumps) and have Airbyte move those into Zeta in bulk; for example, an S3 bucket with nightly user data can feed Zeta so the marketing team always has the latest customer information available for segmentation.

Migrate customer profiles and multi-channel engagement data from Braze (a customer engagement platform for multichannel marketing​) into Zeta to maintain continuity in messaging; import historical Braze campaign results into Zeta’s database to analyze past interactions and optimize future marketing strategies on the new platform.

Migrate email contact lists and campaign history from Brevo (Sendinblue) into Zeta to consolidate marketing efforts; use Brevo’s email engagement data (opens/clicks) in Zeta to ensure continuity in segmentation and avoid messaging users who already responded via the previous platform.

Sync meeting booking data from Calendly into Zeta to send automated confirmation, reminder, and follow-up emails via Zeta (e.g. after a demo is scheduled, enter the prospect into a nurture flow); add prospects who schedule meetings through Calendly to Zeta contact lists for future marketing campaigns (such as newsletters or product updates).

Import call tracking data from CallRail into Zeta to integrate offline engagement (phone calls) into customer profiles; for example, if a contact calls a tracked number and inquires about a product, Zeta can log that and trigger a follow-up email or add them to a call follow-up segment.

Migrate subscriber lists and email automation sequences from ConvertKit (an email marketing platform for creators) into Zeta to unify all marketing communications; use ConvertKit tag/segment information in Zeta to maintain how subscribers were categorized (e.g. import a “newsletter vs customer” tag to continue appropriate targeting in Zeta).

Migrate event-triggered messaging data from Customer.io (an automated messaging platform) into Zeta – bring over user event streams or segment membership to replicate Customer.io’s logic in Zeta; ensure users who were in certain Customer.io nurture tracks are imported and placed into equivalent tracks in Zeta, preserving continuity of multi-channel messaging.

Import identified company website visitors from Leadfeeder into Zeta as new B2B leads to nurture via email; leverage Leadfeeder’s firmographic data (company name, industry from site visits) in Zeta to segment and tailor B2B marketing campaigns to those prospects.

Import email sending events from Mailgun (transactional email service) into Zeta to log those sends on contact timelines (e.g. if Mailgun sent a password reset, have Zeta log it to avoid overlapping messaging); migrate mailing lists from Mailgun to Zeta if consolidating email platforms.

Migrate email marketing data from Omnisend (e-commerce marketing platform) into Zeta—bring over subscriber lists and their engagement metrics to continue targeting them; use Omnisend campaign results in Zeta to adjust segmentation (e.g. flag customers who responded to past promotions) after switching platforms.

Bring content recommendation and metrics from Outbrain into Zeta to assess user engagement across channels; for example, if certain users consistently click Outbrain content ads, add them into a Zeta segment for follow-up content via email.

Migrate B2B marketing leads and their engagement data from Pardot (Salesforce’s marketing automation platform) into Zeta as part of transitioning platforms; use Pardot scoring or segmentation data in Zeta to maintain continuity (for example, carry over a lead’s score or list membership so Zeta can continue the appropriate nurture track).

Import email delivery events from Postmark (transactional email service) into Zeta to consolidate messaging logs – for example, log password reset emails (sent by Postmark) on the user’s profile in Zeta; if migrating, move transactional email recipients from Postmark to Zeta to handle those emails from one platform.

Import NPS survey results from Retently into Zeta to segment customers by satisfaction (promoters vs detractors); trigger targeted follow-up campaigns in Zeta – for example, send referral request emails to promoters, and win-back or support escalation emails to detractors based on Retently feedback.

Import customer feedback collected via Survicate (e.g. website surveys) into Zeta to identify segments like “interested in feature A” or “unhappy with service” and use that for targeted messaging; follow up Survicate respondents in Zeta with emails addressing their specific feedback or asking for a review.

Pull content ad campaign performance data from Taboola into Zeta to gauge how content marketing is influencing customer behavior; use Taboola audience engagement data in Zeta to identify segments for follow-up email campaigns or retargeting.

Import customer review ratings and feedback from Trustpilot (a global review platform​) into Zeta to enrich customer profiles with sentiment data; leverage Trustpilot scores to segment contacts in Zeta (e.g. send referral incentive emails to highly-rated customers, and service recovery campaigns to those who left low ratings).

Pull advertising performance data from Google Ads into Zeta to measure cross-channel campaign ROI; use audience insights from Google Ads within Zeta to refine segmentation and retarget users with personalized messaging.

Sync contact and lead data from HubSpot (a CRM platform for inbound marketing) into Zeta to enrich profiles for targeted campaigns; integrate sales lifecycle insights from HubSpot to tailor Zeta email outreach and improve lead nurturing.

Migrate customer profiles and engagement history from Iterable (a cross-channel marketing platform) into Zeta to consolidate campaigns onto one platform; ingest Iterable’s event data into Zeta for a unified view of customer interactions during a platform migration.

Migrate subscriber lists and email engagement data from Mailchimp (a marketing automation platform) into Zeta to unify email campaigns; import Mailchimp campaign history into Zeta to maintain customer touchpoint continuity and analytics after transitioning platforms.

Import email delivery and engagement events from Sendgrid into Zeta to update contact profiles with open/click data; use Sendgrid suppression or bounce data in Zeta to maintain clean lists and improve campaign targeting.

Import communication logs (SMS sends, delivery statuses) from Twilio into Zeta to unify messaging history across channels; use Twilio SMS engagement data in Zeta to trigger complementary email campaigns or adjust messaging frequency for customers.

Retrieve Facebook Ads campaign metrics and audience data into Zeta to compare ad engagement with email engagement in one place; use Facebook Custom Audience insights in Zeta to inform segmentation (e.g. create email segments of users who clicked Facebook ads for a follow-up nurture sequence).

Pull Instagram business account metrics (followers, post engagement) into Zeta to identify highly engaged users for targeted outreach; combine Instagram ads audience data with Zeta email lists to coordinate cross-channel campaigns (e.g. send emails to users who interacted with Instagram content).

Import Amazon Advertising campaign performance data into Zeta to measure conversions and sales driven by ads alongside email campaigns; use Amazon Ads audience segments in Zeta (if available) to retarget customers via email who showed interest in specific products.

Pull LinkedIn Ads lead generation form submissions into Zeta to quickly add new B2B leads to email nurture sequences; import LinkedIn ad campaign performance data into Zeta to evaluate and segment leads by their ad engagement (for example, targeting email content differently for leads from a specific campaign).

Migrate marketing leads, contacts, and their engagement history from Marketo (a marketing automation SaaS platform) into Zeta to centralize all campaigns; import Marketo email/open/click data into Zeta to maintain segmentation and ensure no loss of personalization after switching platforms.

Pull advertising metrics from Microsoft (Bing) Ads into Zeta to analyze how search ad clicks convert into customer actions captured by Zeta; use Bing Ads audience or keyword data in Zeta to segment users (for example, target email content based on interest inferred from search ad interaction).

Pull Snapchat Ads performance data into Zeta to compare ad-driven engagement with email engagement; if using Snapchat’s lead-gen ads, send those leads from Snapchat into Zeta in real-time so they can receive welcome or drip emails promptly after interacting with the ad.

Import survey responses and respondent details from SurveyMonkey into Zeta to enrich customer profiles with feedback data; segment and target contacts in Zeta based on their SurveyMonkey feedback (for example, send different follow-up content to customers who indicated high satisfaction vs. those who gave lower ratings).

Bring TikTok Ads data (campaign impressions, clicks) into Zeta to evaluate cross-channel impact on conversions; if TikTok lead generation campaigns are used, automatically feed those new leads into Zeta so they can receive follow-up emails or SMS through Zeta.

Automatically send new lead submissions from Typeform forms into Zeta to kick off email nurture campaigns; use answers from Typeform surveys or quizzes in Zeta to personalize follow-up content (e.g. segment users in Zeta based on a quiz outcome and send tailored messaging to each segment).

Migrate e-commerce customer lists and personalized segments from Klaviyo (an email marketing platform for online stores​) into Zeta to centralize messaging; import Klaviyo event data (like recent purchases or browse abandonment tracked in Klaviyo) into Zeta so ongoing campaigns (welcome series, cart recovery, etc.) continue without interruption on the new platform.

Import e-commerce data from Cart.com (orders, customers) into Zeta to drive personalized campaigns (similar to Shopify use case); for instance, use Cart.com purchase history in Zeta to trigger post-purchase thank-you emails or to segment customers for product recommendation emails.

Import payment event data from GoCardless into Zeta (e.g. notification of a completed or failed direct-debit payment) to trigger customer emails via Zeta (such as payment confirmations or failure alerts); use GoCardless subscription info in Zeta to segment customers by plan or payment status for targeted retention campaigns.

Import customer and order data from NetSuite (which combines ERP/CRM) into Zeta to drive marketing communications – e.g., if a new customer is created in NetSuite or a sale is recorded, have that information flow into Zeta to trigger appropriate welcome or upsell campaigns; use NetSuite’s customer classifications in Zeta to segment email outreach (such as distinguishing retail customers from wholesale in messaging).

Bring content recommendation ad metrics from Outbrain into Zeta to assess user engagement across channels; for example, if certain users consistently click Outbrain content ads, add them into a Zeta segment for follow-up content via email.

Import transaction notifications from Paystack (online payments) into Zeta to update customer purchase histories and trigger receipts or follow-up emails; use Paystack payment failure events to prompt Zeta to send payment retry or support emails to affected customers.

Import subscription billing data from Recurly (similar to Chargebee) into Zeta to drive renewal and upsell campaigns; for instance, when a subscription is about to expire or a trial is ending (events from Recurly), trigger Zeta to send reminder emails or promotional offers.

Import form submissions or sign-ups from a Webflow website into Zeta to capture new leads from your Webflow marketing site; use Webflow e-commerce order data (if Webflow’s e-com is used) in Zeta similar to Shopify/WooCommerce to drive personalized post-purchase or re-engagement emails.

Import customer orders and purchase history from Shopify (an e-commerce platform​) into Zeta to enable personalized marketing based on shopping behavior; trigger targeted post-purchase campaigns in Zeta (e.g. abandoned cart emails or re-engagement offers) using Shopify data.

Bring order history and customer details from WooCommerce (an open-source e-commerce plugin for WordPress​) into Zeta to drive personalized campaigns based on purchase behavior; trigger Zeta email workflows (like re-engagement for cart abandonment or product review requests) using WooCommerce data.

Import subscription and billing data from Chargebee into Zeta to enable campaigns based on subscription status (e.g. upsell campaigns to active subscribers or win-back emails when a subscription is about to expire); trigger transactional messaging from Zeta (like renewal reminders) using Chargebee’s subscription events.

Import subscription and billing data from Chargebee into Zeta to enable campaigns based on subscription status (e.g. upsell campaigns to active subscribers or win-back emails when a subscription is about to expire); trigger transactional messaging from Zeta (like renewal reminders) using Chargebee’s subscription events.

Import PayPal transaction records into Zeta to update purchase history for customers (e.g. when a customer completes a PayPal purchase, reflect that in Zeta contact profile); trigger post-purchase email receipts or feedback requests from Zeta when new PayPal transactions are detected.

Import payment events from Stripe into Zeta to enrich customer profiles with purchase values and subscription statuses; use Stripe data (e.g. a failed payment or a high-value purchase) to trigger Zeta email workflows like dunning emails for failed charges or VIP appreciation messages.

Pull Amazon Marketplace sales and customer data via the Seller Partner API into Zeta to incorporate Amazon customers into your direct marketing (where allowed); for instance, after an Amazon order, add whatever customer contact info is available to Zeta to send shipping updates or product care tips (noting Amazon’s contact info policies).

Import subscription analytics from ChartMogul into Zeta to inform marketing – e.g. bring MRR or LTV metrics per customer into Zeta to segment high-value customers for VIP campaigns; use churn analytics from ChartMogul to trigger win-back email flows in Zeta for recently churned subscribers.

Use monitoring/analytics data from Datadog (e.g. user experience metrics) in Zeta if applicable – for example, if Datadog tracks user actions as logs, those could be ingested to trigger technical alert emails; however, this is uncommon, and Datadog’s system metrics aren’t typically used in Zeta for marketing.

Query and fetch data via Dremio from a data lake, then send the results into Zeta to update marketing data – for example, use Dremio to aggregate user behavior from log files and load that summary into Zeta to adjust campaign targeting. (This is a specialized scenario since Dremio is a data virtualization tool.)

Import product usage metrics and health scores from Gainsight PX into Zeta to trigger customer success campaigns (e.g. upsell highly engaged users or re-engage users whose usage dropped); use Gainsight PX’s customer engagement data in Zeta to segment users by adoption level and send tailored educational or retention emails.

Bring content recommendation ad metrics from Outbrain into Zeta to assess user engagement across channels; for example, if certain users consistently click Outbrain content ads, add them into a Zeta segment for follow-up content via email.

Import in-app user behavior and feedback data from Pendo into Zeta to trigger lifecycle emails (e.g. onboarding or feature adoption campaigns) based on product usage; use Pendo’s user segments (like “feature X not used yet”) in Zeta to send targeted educational content encouraging users to try that feature.

Use web analytics from Plausible (lightweight analytics) in Zeta similarly to GA4: for example, import goal conversion events or traffic metrics to segment contacts by website behavior; trigger Zeta emails when Plausible signals certain events (though this would likely be a manual setup).

Send Zeta event data to Timeplus for up to date marketing insights.

Store Zeta campaign performance and customer engagement data for advanced analytics.

Leverage behavioral analytics from GA4 in Zeta to trigger personalized campaigns based on website/app actions; import aggregated engagement metrics from GA4 into Zeta to enhance audience segmentation with web interaction data.

Store vectorized Zeta customer insights in Milvus for AI-driven recommendations.

Send Zeta audience embeddings to PGVector for advanced machine learning models.

Export Zeta segmentation embeddings into Pinecone for personalized recommendations.

Send Zeta insights to Snowflake Cortex for AI-powered predictions.

Sync contacts and leads from Close.com (a sales CRM) into Zeta so marketing can nurture those leads via email; use Close.com opportunity stages in Zeta to tailor campaigns (e.g. if a deal is in negotiation, avoid sending generic promos and instead send focused case studies).

Sync contacts, leads, and deals from Freshsales (CRM) into Zeta to ensure marketing has the latest customer data; use Freshsales stages or tags in Zeta to tailor email campaigns (for example, when a deal is marked “Closed Won” in Freshsales, trigger a welcome email series from Zeta).

Extract business data from Microsoft Dataverse (used in Power Platform/Dynamics 365) into Zeta to enrich the marketing database – for example, bring over customer entities or engagement insights stored in Dataverse into Zeta for more informed segmentation; keep Zeta in sync with Dataverse so that contacts and attributes remain consistent across sales, service, and marketing.

Import customer and order data from NetSuite (which combines ERP/CRM) into Zeta to drive marketing communications – e.g., if a new customer is created in NetSuite or a sale is recorded, have that information flow into Zeta to trigger appropriate welcome or upsell campaigns; use NetSuite’s customer classifications in Zeta to segment email outreach (such as distinguishing retail customers from wholesale in messaging).

Import contact and company records from Nutshell (CRM) into Zeta so that email campaigns can reach the same prospects tracked by sales; use Nutshell opportunity status to segment email communications (e.g. prospects vs customers) in Zeta.

Bring content recommendation and metrics from Outbrain into Zeta to assess user engagement across channels; for example, if certain users consistently click Outbrain content ads, add them into a Zeta segment for follow-up content via email.

Sync leads and contacts from Zoho CRM into Zeta to unify sales and marketing efforts (e.g. ensure that new leads entered in Zoho are automatically added to Zeta email campaigns); use ZohoCRM deal status or contact properties in Zeta to tailor marketing messages (such as sending different content to “Prospect” vs “Customer”).

Sync accounts and contacts from Salesforce (CRM) into Zeta to ensure marketing has up-to-date customer info for segmentation; use Salesforce sales data (e.g. lead status or purchase history) in Zeta to trigger targeted marketing campaigns aligned with the sales funnel.

Import form submissions or sign-ups from a Webflow website into Zeta to capture new leads from your Webflow marketing site; use Webflow e-commerce order data (if Webflow’s e-com is used) in Zeta similar to Shopify/WooCommerce to drive personalized post-purchase or re-engagement emails.

Import customer orders and purchase history from Shopify (an e-commerce platform​) into Zeta to enable personalized marketing based on shopping behavior; trigger targeted post-purchase campaigns in Zeta (e.g. abandoned cart emails or re-engagement offers) using Shopify data.