GITNUXSOFTWARE REVIEW
Marketing AdvertisingTop 10 Best Email Analytics Software of 2026
Compare email analytics software options for tracking delivery, engagement, and campaigns. Covers tools like Mailchimp and GetResponse.
How we ranked these tools
Vendors set the topic, but our editors set 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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Mailgun is the best pick for engineering-led teams that need message-level email analytics wired into their own workflows, because its webhook-driven events use message identifiers for real-time pipelines, whereas GetResponse fits teams running automation journeys since its step-based analytics segment performance by where recipients fall in the sequence.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Mailgun
Webhook-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.
GetResponse
Editor pickAutomation 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.
Mailchimp
Editor pickBuilt-in journey automation that triggers on tracking events like opens and clicks, then synchronizes segment membership for subsequent sends.
Best for: Fits when teams manage email execution in Mailchimp and need dependable analytics plus automation triggers without heavy engineering.
Comparison Table
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.
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.
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.
Automation connects event triggers like email sends, opens, clicks, and form submissions to multi-step journeys. Mailchimp also exposes API access for campaign data and webhooks for tracking events, which supports deeper ESP integration and custom reporting pipelines.
- +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
Performance marketers and analysts
Test subject and content variants
Evidence for improved messaging
CRM and campaign managers
Personalize content by segment attributes
More relevant messages
Show 2 more scenarios
Content marketing teams
Schedule recurring newsletter sends
Consistent measurable newsletters
Publish newsletters from reusable templates and track subscriber engagement per campaign.
Retention and CRM teams
Re-engage inactive subscribers
Targeted reactivation outreach
Build segments from engagement conditions and send targeted reactivation campaigns.
Best for: Fits when teams manage email execution in Mailchimp and need dependable analytics plus automation triggers without heavy engineering.
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
Omnichannel ecommerce marketers
Coordinate email and SMS by profile
More consistent lifecycle communication
Performance and growth marketers
Run experiments by cohort
Data-informed iteration
Show 2 more scenarios
Ecommerce retention teams
Recover carts and browsing sessions
More consistent recovery messaging
Trigger personalized reminders via email or SMS from cart and browsing events.
Marketing teams managing brands
Standardize templates and personalization
Easier approved design reuse
Create reusable layouts, content sections, product elements, and personalization rules for recurring campaigns.
Best for: Fits when ecommerce teams need event-level analytics plus lifecycle automations in one system.
HubSpot Marketing Hub
enterpriseMarketing automation software with bulk email, CRM segmentation, workflows, and campaign analytics.
Contact-level journey reporting ties email engagement to CRM lifecycle changes and downstream actions.
HubSpot Marketing Hub performs email campaign reporting inside the same CRM record system that runs its marketing automation journeys. It tracks message engagement through tracked links and email events, then connects results to contacts so teams can measure downstream funnel movement.
- +Email engagement reporting links back to CRM contact records for clear attribution
- +Journey automation can branch on engagement and contact properties for targeted nurturing
- +APIs and webhooks move custom events and lead signals between systems
- +Unified campaign reporting connects email performance with funnel outcomes
- –Deliverability metrics like inbox placement require additional tooling beyond standard email stats
- –Cross-channel tracking accuracy depends on consistent UTM and event instrumentation
Lifecycle marketing teams
Branching nurture journeys by engagement
Context-aware follow-ups by stage
Marketing analysts and managers
Campaign measurement with CRM attribution
Attribution to funnel movement
Show 2 more scenarios
Integrated marketing operations
Coordinated email and web actions
Connected execution by contact
Teams can manage email and related campaign actions around shared contact journeys rather than isolated sends.
Technical marketing teams
Sync events to external systems
Custom tracking for attribution
Marketing ops can use APIs and webhooks to send lead data and workflow signals into and out of HubSpot.
Best for: Fits when marketing teams need email analytics tied to CRM records and workflow automation.
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.
- +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.
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
Nonprofits and associations
Promote events with reminders
Coordinated event outreach
Small business operators
Follow up after shopping actions
More follow-up opportunities
Show 2 more scenarios
Small business marketing teams
Run seasonal promotional campaigns
Organized promotional reporting
Send targeted promotions and review campaign-level engagement metrics like opens and clicks.
Small organizations and membership teams
Welcome and onboard new subscribers
More consistent onboarding
Trigger multi-message sequences after signup or mailing list join events.
Best for: Fits when email teams want built-in reporting and audience controls without engineering analytics pipelines.
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
Marketing ops and analytics teams
Build event-based cohorts for routing
Consistent audience reuse
Ecommerce and growth marketers
Promote based on behavior changes
More relevant follow-ups
Show 2 more scenarios
Mobile marketing teams
Coordinate push and SMS with app activity
Fewer unwanted duplicate sends
Adjust campaign paths using profile properties and app activity under shared campaign conditions.
Customer experience teams
Trigger messaging from support events
Coordinated post-service communication
Start lifecycle workflows from support or account events and route based on customer state.
Best for: Fits when teams need email analytics tied to in-product events and behavior-driven automation.
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
Developers building email workflows
Automate actions from delivery events
Actionable delivery events
Product email operations teams
Separate transactional message categories
Clear operational control
Show 2 more scenarios
Email operations and support teams
Diagnose bounces and complaints
Faster incident diagnosis
Inspect message events, bounces, and delivery activity during email incidents.
Developers using SMTP applications
Use managed outbound delivery via SMTP
Outbound delivery without MTA work
Connect existing SMTP submission from applications to get message-level analytics and delivery tracking.
Best for: Fits when transactional email teams need message and link analytics for reliability and basic engagement reporting.
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
Commerce and promotional marketers
Send scheduled broadcasts with tracking
Organized measurable outreach
Performance-focused email marketers
Optimize via engagement reporting
Evidence-based content changes
Show 2 more scenarios
Lifecycle and customer marketing teams
Build multi-step customer journeys
Automated multi-step messaging
Create signup, nurture, conversion, and follow-up sequences based on subscriber events and engagement signals.
Email operations teams
Maintain list hygiene and suppression
Cleaner lists with fewer repeat sends
Manage verification, imports, deduplication, bounces, complaints, unsubscribes, and suppression rules.
Best for: Fits when marketing teams need actionable email analytics plus automation triggers without heavy engineering.
Conclusion
After evaluating 10 email analytics software, Mailgun 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.
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.
How to Choose the Right Email Analytics Software
We see the biggest differences in email analytics software come from how each product handles tracking correctness and reporting freshness. Look closely at the combination of click attribution and delivery interpretation, then verify the workflow you’ll actually run with exported data or API access.
Tracking setup correctness
Why it matters
With tracking setup correctness, you avoid misleading patterns that come from missing or inconsistent tags and inconsistent event capture. This matters because email analytics software is only as trustworthy as what it records per message and link.
How to check
Ask the vendor to show a test send and the path from the sent email to the first analytics events. Then check whether tagged links and basic events appear consistently in the same session without manual patching.
Reporting latency and refresh control
Why it matters
Reporting latency and refresh control affects whether teams act on the same day. Email analytics software that updates late can make optimization decisions (content, timing, audience) on stale data.
How to check
Run a demo workflow: trigger a controlled send to a small internal list, then request a refresh and note when results first appear. Ask whether they support scheduled refresh, webhook-style updates, or an on-demand rerun.
Attribution fields and window
Why it matters
Attribution fields and window determine which downstream actions get credited to a specific email and campaign. For email analytics software, a vague or hidden window makes comparisons across campaigns unreliable.
How to check
Ask for a clear attribution setting screen (e.g., what gets attributed, the time window, and whether defaults differ by channel). In the demo, show how the same click leads to different attributed outcomes when you change the window.
Delivery and bounce interpretation
Why it matters
Delivery and bounce interpretation shapes what “success” means in reporting, especially when lists change and recipients reject messages. Email analytics software should treat delivery outcomes in a way you can act on operationally.
How to check
In a test, request examples of both transient delivery issues and terminal delivery failures (names can vary). Check whether the report distinguishes them clearly and whether those outcomes are filterable in dashboards.
Export and API for analytics
Why it matters
Export and API for analytics separates one-off dashboards from repeatable measurement. Email analytics software becomes more useful when you can pull the same metrics into your reporting pipeline with consistent identifiers.
How to check
Ask to view an export of per-message and per-recipient aggregates, including campaign identifiers. If they offer an API, request a sample response showing message ID, event timestamps, and attribution fields, then compare it to what you see in the UI.
Red flags
- Tracking setup correctness looks inconsistent between the UI and exported rows.
- Reporting latency and refresh control is unclear or only updates on a delayed batch window.
- Attribution fields and window are hidden, unchangeable, or not reflected in the exported data.
Fit by situation
- If you need to run measurement every day with minimal manual cleanup, prioritize reporting latency and refresh control.
- If you’re reconciling email results against website outcomes, prioritize attribution fields and window.
- If you export metrics into other dashboards or automate reporting, prioritize export and API for analytics.
Funding and competing interests
This study was co-funded by several of the vendors assessed in it. No single vendor funded it. Funders could propose the market studied.
They had no role in selecting vendors, setting or weighting criteria, analysing data or drawing conclusions, and they received the same factual-accuracy check as every other vendor assessed.
Market definition, inclusion rules and criteria weights were fixed by an editor before research began and did not change afterwards. Editorial process →
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