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Marketing AdvertisingTop 10 Best Email Analytics Software of 2026
Ranked roundup of email analytics software tools, with deliverability, tracking, and reporting comparisons including GetResponse, Mailgun, and Litmus.
How we ranked these tools
An editor sets the topic, the inclusion criteria, and the evaluation framework before research starts.
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Framework: Features 40% · Ease 30% · Value 30%
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GetResponse is the best fit if you run newsletters, automated sequences, and webinars and want analytics tied to engagement-based follow-up, whereas Mailgun works better for engineering-led teams wiring message-level delivery and event reporting into internal workflows.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
GetResponse
Automation journey analytics that segment performance by step, not just by campaign send.
Best for: Fits when teams need analytics tied to automation steps and engagement-based segmentation for follow-up campaigns.
Mailgun
Editor pickWebhook-driven event delivery that supports real-time analytics pipelines tied to message identifiers.
Best for: Fits when engineering-led teams need message-level analytics wired into internal workflows.
Litmus
Editor pickEmail client rendering tests with side-by-side visual differences for template changes.
Best for: Fits when email teams need client rendering validation plus dependable event reporting across campaigns.
Comparison Table
GetResponse
SMBEmail analytics for newsletters, automated sequences, webinars, and conversion activity.
Automation journey analytics that segment performance by step, not just by campaign send.
GetResponse analytics are organized around campaign sends and automation steps, with dashboards that show engagement trends and funnel-style performance across the journey. Event capture supports per-recipient activity, which enables engagement segmentation for follow-up messaging based on who clicked or opened. Reporting can be used for operational decisions like list hygiene review and suppression handling because bounces and unsubscribes are reflected in the send outcomes.
A key tradeoff is that deeper email-client rendering diagnostics like Litmus-style previews are not part of the core analytics workflow. GetResponse is a strong fit when analytics needs sit next to list management and automation execution, such as optimizing nurture journeys with step-level performance review.
- +Step-level reporting for marketing automation journeys
- +Engagement segmentation based on tracked recipient events
- +Event-driven suppression and bounce outcomes reflected in reports
- +Integration options for routing send and engagement events
- –No built-in email client rendering previews for QA workflows
- –API work can be non-trivial when mapping complex automation journeys
Marketing operations teams
Audit journey performance by audience step
Faster optimization of journeys
Lifecycle marketers
Trigger sends from engagement segmentation
Higher engagement follow-ups
Show 1 more scenario
Email deliverability owners
Review send outcomes for hygiene actions
Cleaner lists over time
Use bounce and unsubscribe outcomes in reporting to guide suppression list updates.
Best for: Fits when teams need analytics tied to automation steps and engagement-based segmentation for follow-up campaigns.
Mailgun
API-firstAPI-first email analytics for delivery, opens, clicks, bounces, and events.
Webhook-driven event delivery that supports real-time analytics pipelines tied to message identifiers.
Mailgun’s core differentiation is the combination of send integrations and analytics events delivered through an API workflow. Teams can ingest message, recipient, and delivery outcomes into their own data model via event webhooks and then query or aggregate for reporting. This approach supports campaign attribution and engagement segmentation across multiple properties because events include identifiers like message IDs and domains.
A key tradeoff is that advanced reporting requires building an aggregation layer, since event streams are flexible but not always turnkey for dashboarding. Mailgun fits when marketing ops and engineering need consistent analytics plumbing for webhooks, CRM enrichment, and cohort style analysis on their own infrastructure.
- +Event webhooks provide message-level analytics for downstream systems
- +Bounce and complaint outcomes are captured with delivery metadata
- +Tracked links map engagement back to campaign context
- +API-first design fits engineering owned reporting pipelines
- –Turnkey dashboards are limited compared to API event integration
- –Analytics depth depends on webhook ingestion and aggregation logic
- –Admin governance controls for multi-team access can be less granular
- –Deep reporting often requires schema decisions on the consuming side
Marketing ops teams
Attribute engagement to exact sends
Cleaner attribution and reporting
Deliverability teams
Monitor bounces and complaints
Lower complaint and bounce rates
Show 2 more scenarios
Data engineering teams
Build analytics in a warehouse
Reusable analytics datasets
Normalize event payloads into tables for cohort analysis and frequency analysis.
App engineering teams
Track tracked links per user
Better conversion measurement
Use tracked URL events to join engagement with app behavior events.
Best for: Fits when engineering-led teams need message-level analytics wired into internal workflows.
Litmus
enterpriseEmail analytics for campaign performance, engagement, client usage, and deliverability monitoring.
Email client rendering tests with side-by-side visual differences for template changes.
Litmus runs browser-style rendering and tracking with a focus on email client differences that affect inbox placement and engagement. It includes link-level event tracking and campaign reporting views that support device breakdown and domain breakdown when emails are tested from representative seeds. For deliverability-oriented teams, it also supports seed-list testing so rendering and tracking results can be compared before a full send.
A notable tradeoff is that deeper attribution depends on pairing Litmus tests and tracking outputs with the sending system and analytics instrumentation. It fits best when teams already have an ESP or sending service workflow and need repeatable validation before template releases, plus consistent reporting for troubleshooting after sends.
- +Rendering checks cover major email clients and devices with actionable diffs
- +Seed-list testing supports pre-send comparison of tracking and display
- +Event capture includes link interactions for reporting across campaign runs
- +Works well as a QA gate for template changes before production sends
- –Attribution depth depends on careful alignment with sending and analytics events
- –Setup needs discipline to keep tracking parameters consistent across templates
- –Some reporting workflows feel report-centric rather than BI-ready for all teams
Email marketing teams
Validate template changes before launches
Fewer release-day email issues
Deliverability operations teams
Run seed-list testing for pre-send checks
Earlier detection of tracking failures
Show 2 more scenarios
Lifecycle and CRM teams
Troubleshoot link behavior by audience
Faster root-cause analysis
Link event reporting helps identify which recipients engaged and which creatives underperformed.
Marketing engineering teams
Standardize tracking across templates
Cleaner campaign analytics
Testing and reporting workflows help enforce consistent tagging and measurement conventions.
Best for: Fits when email teams need client rendering validation plus dependable event reporting across campaigns.
HubSpot
enterpriseEmail analytics connected to marketing automation, CRM records, and campaign attribution.
Email engagement events automatically flow into Marketing Hub workflows for contact-level segmentation and follow-up actions.
HubSpot email analytics connects email performance to CRM engagement records and campaign objects so reporting stays consistent across marketing and sales touchpoints.
- +Engagement events map directly to CRM contacts for consistent reporting
- +Link tracking and campaign attribution are available in marketing analytics views
- +Workflow triggers can act on email engagement without external scripting
- +API and webhooks support exporting engagement events to other systems
- –Multi-touch attribution relies on HubSpot tracking configuration and data hygiene
- –Complex deliverability diagnostics like seed-list testing are not native email analytics
Best for: Fits when CRM-centric teams need email engagement analytics plus automation triggers tied to contacts.
Klaviyo
vertical specialistEmail analytics for ecommerce segmentation, revenue attribution, and automated campaigns.
Klaviyo’s flow engine supports audience-aware triggered messages built from granular event and profile state.
Klaviyo collects event data and links it to profiles so email reporting can be segmented and attributed beyond sends.
- +Event-based segmentation uses commerce and on-site events for tighter targeting
- +Revenue attribution ties email engagement to downstream conversion outcomes
- +Triggered automations react to profile changes and recent behaviors
- +API supports custom event ingestion for analytics and personalization
- –Advanced tracking requires disciplined data mapping across sources
- –Some reporting views depend on correctly configured integrations and events
Best for: Fits when ecommerce teams need event-level analytics plus lifecycle automations in one system.
Mailchimp
SMBEmail campaign analytics covering opens, clicks, audience activity, and comparative reports.
Built-in journey automation that triggers on tracking events like opens and clicks, then synchronizes segment membership for subsequent sends.
Mailchimp fits marketing teams that want email analytics inside the same workspace used for list management and campaign execution. Its reporting centers on engagement metrics like open rate, click-through rate, and unsubscribe rate, with link-level click tracking for campaign attribution.
- +Event-based reporting combines sends, opens, clicks, and unsubscribes in one view
- +Link tracking supports granular campaign attribution by destination and campaign
- +Journey builder uses behavioral triggers to automate follow-ups without custom code
- +API and tracking webhooks enable export of campaign and event data
- –Advanced cohort and assisted conversion analysis needs more external data modeling
- –Attribution is constrained when tracking is split across multiple send systems
- –High-volume automation requires careful throttling and audience hygiene management
- –Reporting exports can be limited when teams need custom event schemas
Best for: Fits when teams manage email execution in Mailchimp and need dependable analytics plus automation triggers without heavy engineering.
Postmark
API-firstTransactional email analytics for delivery activity, opens, clicks, and bounces.
Webhooks deliver delivery and engagement events for each send, enabling external event stores and dashboards.
Postmark focuses on message-level email analytics for transactional delivery rather than broad marketing attribution. Event tracking is built around inbound delivery events and link-level activity so teams can analyze what happened after each send.
- +Event-level tracking ties delivery outcomes to specific messages
- +Webhook and API support real-time analytics routing into internal systems
- +Link tracking enables click-to-open style engagement checks
- +Clear separation between transactional sending and analytics surfaces
- –Reporting depth is less suited to multi-touch conversion attribution
- –Engagement segmentation for audience-level workflows is limited
- –More governance work is needed to keep event pipelines consistent
- –UI reporting can lag behind custom dashboards built via events
Best for: Fits when transactional email teams need message and link analytics for reliability and basic engagement reporting.
Customer.io
API-firstEmail analytics for event-triggered messaging, conversion paths, and customer engagement.
Journey analytics that correlate message eligibility, sends, and conversions from the same event stream.
Customer.io combines event-level tracking with lifecycle messaging so email analytics tie directly to user behavior and conversion outcomes. It ingests events through APIs and webhooks and then builds segmentation and message logic around those events.
- +Event-driven attribution links email sends to downstream product events
- +API and webhook ingestion enables custom event schemas for tracking
- +Cohort-focused reporting supports behavior-based engagement analysis
- +Role-based access controls separate builders from reporting viewers
- –Analytics depth depends on disciplined event instrumentation in the app
- –Email-specific deliverability insights are limited compared with dedicated testing tools
- –Advanced audience logic can become complex across multi-step journeys
- –Reporting is constrained to events and attributes captured by Customer.io inputs
Best for: Fits when teams need email analytics tied to in-product events and behavior-driven automation.
MailerLite
SMBEmail campaign analytics for opens, clicks, subscriber activity, and automation results.
API access to campaign metrics and automations event data supports external analytics warehouses and custom dashboards.
MailerLite sends and analyzes email campaigns with event-level tracking that connects delivery and engagement to specific campaigns and messages.
- +Event-level tracking supports link-level drilldowns and clearer attribution inputs
- +Automation rules can trigger on engagement events without custom code
- +API enables exporting campaign metrics for external reporting pipelines
- +Device and domain views help diagnose rendering and deliverability patterns
- –Assisted conversion requires careful tagging and consistent campaign attribution setup
- –Role control granularity is limited for multi-team governance of automation changes
Best for: Fits when marketing teams need actionable email analytics plus automation triggers without heavy engineering.
Constant Contact
SMBEmail reporting for campaign engagement, list activity, and marketing performance.
Journey builder for event-triggered emails that feeds segmentation-based reporting inside Constant Contact.
Constant Contact is a marketing email system that pairs campaign reporting with list and subscriber management. Reporting centers on campaign performance metrics like opens, clicks, and bounces, plus link-level tracking for click-through rate.
- +Campaign reporting includes click tracking by links within sent emails
- +Segmentation and suppression controls reduce resends to opted-out contacts
- +Automation journeys reuse audience filters built in Constant Contact
- +Subscriber and bounce handling supports ongoing list hygiene workflows
- –Event-level tracking exports are limited compared with specialist email analytics tools
- –Attribution granularity stays close to campaign and link events
- –Advanced analytics such as deeper cohort views require extra reporting paths
- –Automation logic is harder to extend beyond built-in triggers without an external workflow
Best for: Fits when email teams want built-in reporting and audience controls without engineering analytics pipelines.
Conclusion
After evaluating 10 email analytics software, GetResponse stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
How to Choose the Right Email Analytics Software
This buyer’s guide compares ten email analytics software platforms that report on delivery outcomes, engagement events, and campaign performance signals. Coverage includes GetResponse, Mailgun, Litmus, HubSpot, Klaviyo, Mailchimp, Postmark, Customer.io, MailerLite, and Constant Contact.
Each tool is evaluated against integration depth, the event and reporting model used for tracking, and the automation and API surfaces available for moving analytics into workflows. The comparison also highlights governance gaps that affect how teams keep tracking consistent across sends and journeys.
Email Analytics Software for delivery, event tracking, and reporting across campaigns and journeys
Email analytics software collects send and engagement events such as delivery outcomes, opens, clicks, unsubscribes, and complaints, then turns them into reporting and segmentation signals. GetResponse emphasizes step-level analytics across automation journeys so performance can be segmented by the recipient’s journey step rather than only by campaign sends.
Tools like Mailgun focus on webhook-driven, message-level event delivery so engineering teams can route analytics into internal pipelines keyed to message identifiers. The practical difference across this category shows up in how each platform ties events to downstream workflows, how much reporting depth is native versus dependent on ingestion, and how much configuration discipline is required to keep attribution and automation triggers consistent.
Email analytics capabilities that determine deliverability, tracking fidelity, and reporting control
Email analytics software should connect delivery outcomes with engagement events so reporting can explain what happened at the message level and at the recipient behavior level. GetResponse, Mailgun, and Postmark separate their value by how they bind outcomes to the unit of reporting, such as automation steps, message identifiers, or webhook event streams.
The most consequential differences show up in integration depth and automation surfaces, because event quality affects deliverability signals, attribution inputs, and downstream segmentation logic. Litmus changes the pre-send QA workflow with email client rendering tests, while HubSpot and Klaviyo push engagement events into CRM or ecommerce lifecycle automation.
Step-level analytics for automation journeys
GetResponse turns automation journey step performance into segmentable reporting signals so teams can analyze engagement by journey stage rather than only by campaign send. Mailchimp also provides event-triggered journey execution, but GetResponse emphasizes step-level reporting tied to tracked recipient events.
Webhook-driven message event delivery and routing
Mailgun delivers event data via webhooks keyed to message identifiers, which supports real-time analytics pipelines tied to individual sends. Postmark also uses webhooks and API support for delivery and engagement events per send, which fits transactional teams that want external event stores and dashboards.
Email client rendering validation and seed-list testing workflows
Litmus focuses on email client rendering tests with side-by-side visual differences for template changes. It also supports seed-list testing so teams can compare tracking and display behavior before launch, while delivery-to-engagement event reporting remains dependable across campaigns.
Contact-level engagement events flowing into automation
HubSpot maps email engagement events directly to CRM contacts so the same activity feeds contact-level segmentation and workflow triggers. Customer.io also ties email sends to downstream product events from the same event stream, but HubSpot’s strength is routing engagement into CRM-centered automation.
Event-level lifecycle attribution and revenue linkage
Klaviyo links engagement to downstream conversion outcomes with revenue attribution tied to event-based segmentation. Mailchimp can show event-based reporting for sends and engagement, but advanced cohort and assisted conversion analysis typically needs more external data modeling.
Automation triggers driven by event and campaign metrics
MailerLite supports API access to campaign metrics and automation event data so internal dashboards and external warehouses can stay in sync with automation triggers. Constant Contact includes a journey builder that feeds segmentation-based reporting and suppression controls, which keeps execution and reporting aligned inside that platform.
Extensibility via ingestion and custom event schemas
Customer.io supports API and webhook ingestion that enables custom event schemas for behavior-driven automation tied to product activity. Mailgun focuses on webhook ingestion and message identifiers, while GetResponse focuses more on journey step reporting than on custom app event schema design.
Choose based on the analytics unit that must drive your automation and reporting
Email analytics requirements differ by which identifier drives decisions, such as journey step, message identifier, CRM contact, or app event. The right platform choice depends on whether reporting must support internal workflow automation or pre-send QA before delivery.
Decision paths split into distinct product philosophies, because some tools optimize for analytics routing via webhooks and APIs while others optimize for native automation and segmentation inside one execution environment. Integration depth and automation surfaces should be evaluated together so tracking configuration and event flow stay consistent across sends and journeys.
If decisions are tied to automation journey steps, prioritize step-level reporting
GetResponse segments performance by automation journey step so engagement can be tied to the recipient’s journey stage rather than only a campaign send. Mailchimp also triggers journeys on tracking events and synchronizes segment membership for subsequent sends, but GetResponse’s step-level reporting structure is the deciding factor when the same journey must be analyzed at each stage.
If decisions are tied to engineering pipelines, prioritize webhook routing keyed to message identifiers
Mailgun is built around webhook-driven event delivery that supports real-time analytics pipelines keyed to message identifiers. Postmark also provides webhooks and API support for delivery and engagement events per send, which fits teams that maintain external event stores and dashboards instead of relying on native reporting.
If template rendering and tracking display must be validated before send, prioritize rendering QA
Litmus provides email client rendering tests with actionable side-by-side visual diffs, which supports template QA for different clients and devices. HubSpot and Klaviyo can report engagement after sends, but neither replaces Litmus for rendering validation and seed-list testing discipline.
If segmentation and follow-up live in CRM, prioritize contact-level engagement mapping
HubSpot connects engagement events to CRM contacts so link tracking and campaign attribution feed marketing analytics views and workflow triggers. Klaviyo supports event-based segmentation and revenue attribution for ecommerce lifecycle work, but HubSpot is the better fit when CRM contact identity is the primary reporting anchor.
If revenue attribution and ecommerce lifecycle automations depend on event and profile state, prioritize lifecycle event models
Klaviyo uses its flow engine to trigger audience-aware messages built from granular event and profile state. Mailchimp can report sends and engagement in one view, but Klaviyo’s revenue attribution linkage is the deciding factor when conversion outcomes must be tied to email engagement with ecommerce context.
If governance needs to span teams or exports must feed warehouses, validate API and role control boundaries
MailerLite provides API access to campaign metrics and automation event data, which supports external analytics warehouses and custom dashboards. Role control granularity is limited for multi-team governance in MailerLite, so teams with shared ownership should verify governance fit against alternatives like HubSpot for CRM-centered control.
Who should buy Email Analytics Software built for their tracking and automation workflow
Teams that need analytics only to view opens and clicks can use any of these platforms, but the buyer’s decision should target how analytics drives the next action. The strongest matches come from how the tool maps engagement and delivery outcomes into workflow execution or external pipelines.
Buyers should also match their data shape to the tool’s event stream, because step-level journey analytics, webhook message events, and contact-mapped CRM events each imply different setup and reporting structures.
Marketing operations teams running multi-step automation journeys
GetResponse supports step-level reporting across automation journeys so performance can be segmented by recipient journey step. This aligns with teams that must optimize sequences using engagement events rather than only campaign-level aggregates.
Engineering teams building real-time analytics pipelines
Mailgun provides webhook-driven event delivery keyed to message identifiers, which enables real-time analytics pipelines tied to internal workflows. Postmark can also route per-send delivery and engagement events via webhook and API for external dashboards.
Email template and deliverability QA teams
Litmus delivers email client rendering tests with side-by-side visual diffs and seed-list testing to validate tracking and display before launch. This supports teams that treat client rendering as a gating requirement, not just a post-send metric.
CRM-centric growth teams that automate based on contact identity
HubSpot maps engagement events to CRM contacts so reporting and follow-up actions can use the same contact records. This reduces identity mismatch when attribution and workflow automation must align to CRM segmentation.
Ecommerce lifecycle teams that connect email engagement to revenue outcomes
Klaviyo ties event-based segmentation to revenue attribution so downstream conversion outcomes can be linked to email engagement. This matches teams that rely on commerce event context and lifecycle flows tied to event and profile state.
Common pitfalls when implementing email analytics across sends and journeys
Misalignment between tracking parameters, event ingestion, and automation triggers creates reporting gaps that look like low performance when the root cause is event wiring. The category’s tools differ in how much discipline they require, which makes implementation details a major driver of outcomes.
The most common failures also come from assuming all platforms support the same attribution depth or export surfaces, even when the underlying event model differs between journey steps, message identifiers, and contact or product events.
Treating post-send engagement reporting as sufficient when automation decisions depend on journey step context
GetResponse supports step-level reporting so engagement can be segmented by the recipient’s journey stage. If the reporting layer only uses campaign sends, optimization of multi-step flows becomes guesswork.
Building webhook pipelines without validating message identifier mapping and downstream aggregation logic
Mailgun webhooks and Postmark webhooks both deliver event-level data, but analytics depth depends on webhook ingestion and aggregation logic. Incorrect message identifier mapping makes deliverability outcomes and engagement events appear inconsistent across systems.
Skipping rendering QA when template changes can alter display and tracked link interactions
Litmus rendering tests provide side-by-side client diffs and seed-list testing to catch issues before launch. Relying on opens alone can hide client rendering failures that prevent correct interaction behavior.
Configuring multi-touch attribution without enforcing tracking consistency across all sending paths
HubSpot’s multi-touch attribution relies on HubSpot tracking configuration and data hygiene, and Mailchimp attribution can be constrained when tracking is split across multiple send systems. Keeping tracking consistent across templates and systems prevents attribution breakdowns.
Expecting email analytics depth for assisted conversion without preparing tagging and event mapping
MailerLite notes that assisted conversion requires careful tagging and consistent campaign attribution setup. Klaviyo also depends on disciplined tracking and integration mapping so event-based segmentation and revenue attribution remain accurate.
How We Selected and Ranked These Tools
We evaluated email analytics software on features 40% by scoring step-level journey analytics, webhook event delivery depth, rendering QA coverage, and native reporting surfaces across delivery and engagement. We evaluated integration depth and the event and reporting model impact on automation triggers and exports 30% each, using each tool’s API and webhook or native workflow behaviors as the basis for extensibility scoring.
We weighted ease and operational fit at the same time because webhook ingestion and journey tracking configuration determine whether analytics stays consistent across sends. GetResponse set the top position by pairing automation journey analytics that segment performance by step with engagement segmentation built from tracked recipient events, which reduces the reporting gap between send performance and the next automation decision.
Frequently Asked Questions About Email Analytics Software
How do Postmark and Mailgun differ for event-level reporting on delivery and engagement?
Which tool ties email analytics back to marketing automation steps rather than only campaign sends?
How does Litmus validate email client rendering, and what does that add beyond open and click reporting?
What happens to tracking fidelity when UTM tracking and link tracking collide across Mailchimp and Klaviyo?
When do webhooks and APIs become necessary, and how do Mailgun and Customer.io handle it?
Where does event-level tracking provide more value than campaign-level counters in Klaviyo and HubSpot?
What breaks if Postmark link tracking is used without consistent message identifiers across the pipeline?
Which tools support administration controls for access to analytics and program building?
How should data migration be planned when moving tracking from MailerLite to an API-based stack using Postmark or Mailgun?
What security tradeoff shows up when combining SSO, RBAC, and event ingestion in HubSpot and Customer.io?
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
- Marketing AdvertisingTop 10 Best Online Marketing Analytics Software of 2026
- Marketing AdvertisingTop 10 Best Email Campaign Manager Software of 2026
- Data Science AnalyticsTop 10 Best Email Database Software of 2026
- Marketing AdvertisingTop 10 Best Email Template Builder Software of 2026
- Marketing AdvertisingTop 10 Best Send Mass Email Software of 2026
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