Drip
Key Info:
Drip is a cloud email marketing automation platform for B2C businesses that sell products, services or access online. It combines a visual workflow builder, behavioral segmentation, email creation, onsite capture and revenue reporting around customer and commerce events.
Details
Automation scope
Drip centers its automation model on visual workflows that react to subscriber activity, purchases, browsing and connected application events. A workflow can combine triggers, actions, goals, decisions, delays and exits, while simpler rules handle immediate trigger-to-action tasks. The platform is positioned for ecommerce stores, creators, educators, events and other B2C operations that need lifecycle messaging rather than a general-purpose B2B campaign system.
Evaluation scenario
Build a welcome sequence, an abandoned-cart journey and a post-purchase follow-up in a test account. Use a real store or sandbox integration, then test a shopper who purchases during the recovery journey, a subscriber who changes consent and a contact whose event arrives twice. Confirm that goals and exits prevent irrelevant messages and that an operator can identify why each person entered, paused, branched or left a workflow.
Workflow design and control
Review the visual builder, prebuilt workflow templates, behavior-based triggers, decision branches, delays, actions, goals and exit conditions. Test how edits to an active workflow affect people already in progress, and document the approval steps used before activation. Buyers should also compare workflow limits, reusable patterns and naming controls against the number of brands, stores and lifecycle programs the team expects to manage.
Audience, content and integrations
Evaluate dynamic segments based on purchase history, browsing, engagement and customer properties. Create and test an email with live product data, reusable content and personalization, then confirm fallback behavior when a field is missing. Connect the commerce platform and one secondary integration, inspect event mapping and deliberately interrupt the connection to see how delayed or failed data is surfaced and recovered.
Measurement and operations
Review workflow-level email metrics, attributed orders, revenue, average order value and revenue per person. Reconcile one reported conversion with the store system and confirm the attribution window and event rules. Assign clear owners for consent, deliverability, data quality, content and workflow activation, and require periodic review of active automations, exclusions and templates.
Implementation checkpoint
Start with one audience, one connected store and two or three measurable journeys. Track delivery failures, opt-outs, duplicate sends, support contacts and time spent diagnosing workflow behavior. Expand only after the team can explain entry and exit logic, recover interrupted data, validate revenue attribution and retire obsolete automations. Confirm current plan limits, integration coverage and migration responsibilities before committing to a wider rollout.