Delivery, bounce and engagement reporting by domain, provider and stream, with logs for every message.
Ask questions in plain English and get charts and a written explanation back.
Trends over time with the reasons behind failures.
See delivery and bounce trends over time with the reasons behind failures, not just totals. A rise in deferrals or a specific bounce code is visible early so you can respond.
See how each mailbox provider treats your traffic.
Mailbox providers treat the same mail differently. A breakdown by provider shows where you land well and where you are struggling, so you fix the right problem.
Opens and clicks with automated traffic filtered out.
Automated security scanners open and click links, inflating engagement. We filter that traffic out so opens and clicks reflect people, and decisions based on them are sounder.
Search by recipient, subject or message ID.
Search every message by recipient, subject or message ID and see its status and history. It turns 'where is my email' into a ten-second lookup.
Email a summary to your team on a schedule.
Email a summary to your team on a schedule, so reporting happens without anyone remembering to export it. Stakeholders see the numbers they care about regularly.
Take the data into your own tools.
Export data as CSV to use in your own spreadsheets, BI tools or finance reports. Your data stays portable.
Start from the dashboard or a saved report.
Domain, workspace, stream, tag or time range.
Send a report to your team or export it.
Each stage plays automatically. Select one to pause on it. Illustrative interface: all figures and addresses shown are sample data.
Provider-level views show where deferrals and bounces start, so you can act early.
Email analytics is the measurement of how your messages perform, from whether they were accepted by mailbox providers to whether recipients engaged. MigoSMTP reports delivery, bounce, complaint and engagement data, broken down by domain, workspace, stream, tag and mailbox provider, with searchable logs that let you follow a single message from send to final status. Reports update continuously, so you can follow a launch while it is happening, and saved views make recurring checks quick for busy teams.
Teams use the dashboard to compare domains, drill from a chart to the messages behind it, and see where deferrals and bounces begin at each provider. Saved reports can be emailed to stakeholders on a schedule, and data can be exported as CSV. Opens and clicks are filtered for known automated traffic, though open tracking remains an estimate. Retention depends on plan, and exports let you keep longer histories in your own warehouse if needed.
Deliverability problems usually show up in the numbers before customers complain. Rising deferrals at one provider or a creeping bounce rate are early warnings. AI features let you ask questions in natural language and receive explanations of what changed, so non-specialists can understand the data and act sooner. Used together with reputation monitoring, analytics makes it easier to separate content problems from infrastructure ones, and to show colleagues the evidence behind a recommendation instead of a hunch.
If delivery drops only at one mailbox provider, the provider breakdown shows it quickly. You can then drill into those messages to read the deferral reasons.
Use workspaces or tags to separate customers, then schedule a weekly summary email for each. Agencies avoid manual spreadsheet work and keep clients informed. Clients stay informed without extra effort.
Search the message log by recipient or subject to see exactly when an email was accepted, deferred or delivered, and answer the support ticket with facts.
Tag sends by template and compare delivery and engagement. Learn which messages perform best and which need rewriting, without exporting data to another tool. Decisions rest on evidence, not guesses.
Find the message, show the receiving server responses and the final status, and export the record when someone needs evidence.
Use volume and usage reports by account or workspace to see growth, plan limits and decide when to move a stream to its own IP.
They answer different questions. Use reports for patterns and logs for single messages.
Start with reports to spot a problem, then open the logs to see the messages behind it.
Ask questions such as why bounces rose on Tuesday and receive a chart with a written explanation and links to the underlying messages. Answers cite the data they used.
Models learn your normal patterns by provider and stream, alert you to unusual deferral or complaint shifts, and forecast likely volume against plan limits. Thresholds and recipients are yours to set.
A scheduled summary highlights what changed, what needs attention and suggested next steps in plain English. Your team reviews it like any other report. Share it with stakeholders if you wish.
Based on your own engagement history, the system shows which hours tend to perform better for an audience. Treat it as guidance, since each list behaves differently.
AI features are assistive: they explain and highlight, and your team decides which alerts and actions to use.
Overall rates hide problems. Break results down by provider, domain and stream before concluding that everything is healthy.
Choose bounce and complaint thresholds before there is an incident. Alerts based on your baseline catch drift that dashboards you rarely open miss.
Privacy features and image prefetching distort open data. Lean on clicks, replies and conversions for decisions that matter.
Use a naming convention for tags such as campaign, template and environment. Consistent tags make later comparisons possible.
A bounce percentage tells you something is wrong; the reason codes tell you what. Drill into the logs when numbers move.
Pick a weekly rhythm for delivery, bounce and complaint reports and send them to the people who can act, so problems are found in days, not months.
Need a report your team does not have yet? Tell us what you want to measure.
Email analytics measures how your email performs through delivery, bounce, complaint, open and click data. It shows whether messages reached mailbox providers and how recipients responded, so you can find and fix deliverability and content problems. Both views help when diagnosing a problem.
Search the message log by recipient, subject or message ID and open the entry. It shows each attempt, the response from the receiving server and the final status. The error reference explains common codes. Compare the response text with the error reference to understand it.
Open tracking is an estimate. We filter known automated opens, but image prefetching and privacy features still distort the numbers. Use opens as a trend indicator and rely on clicks and conversions for important decisions. Pair them with other signals. Pair them with clicks, replies and downstream conversions.
Yes. Use workspaces for full separation or tags for lighter grouping, then filter reports and logs accordingly. Agencies commonly use one workspace per client. Filters let you narrow each report to a single customer, so you can share only the relevant view with them or export the data for your own client reporting needs.
How long logs and aggregated reports remain available depends on your plan. Check your plan details, and export anything you must keep for compliance, audits or year-on-year comparisons before it expires.
Delivery rate means the receiving server accepted the message. Inbox placement is whether it landed in the inbox rather than spam. We report acceptance and engagement signals, but placement itself is not directly observable by any sender. No sender can see the final folder directly.
You can ask questions in plain language, receive explanations and charts, get anomaly alerts and read a weekly digest. These are aids to interpretation, and your team decides what to do.
The DPDP Rules were published in November 2025 and phase in over 18 months. We explain the notice, consent, security, breach and retention duties in plain terms, the reported penalty ceilings and a plan for email programmes.
Password-based SMTP in Exchange Online is being retired after two postponements. We set out the reported timeline, what fails and when, the five migration routes and why system mail belongs on its own sending path.
As passkeys replace passwords, sign-in mail should shrink while recovery and security alerts matter more. We review the 2026 FIDO data and work through each message type and three scenarios to 2030.
Apple accounts for 62.26% of tracked opens, and AI assistants now read mail for people. We look at why the open rate fails, what the data says and which signals to measure instead.
Fluent, targeted phishing is now cheap. We review the figures and their weaknesses, explain what authentication can and cannot stop and set out what legitimate senders should do next.
BIMI shows a verified logo beside authenticated email, but its entry ticket is enforced DMARC. We set out Gmail's requirements, VMC against CMC, the unverified vendor claims and three scenarios to 2028.
A new class of sender is arriving: software agents with their own inboxes. We review the 2026 funding and product signals, the deliverability and security risks and three scenarios to 2030.
Two independent 2026 studies show DMARC records are common while enforcement lags. We compare their numbers, explain why domains stall at p=none and set out a 90-day plan to move to reject.
Create an account, add your domain and send your first email.