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Blog›Marketing

Diagnose email performance without leaving your data

Your ESP holds months of send, open, click, and bounce data. AnalityQa AI AI joins it across campaigns, surfaces which subject lines work, and flags list decay before it damages your sender reputation.

Try AnalityQa AI AI free →See live examples
Marketing analytics dashboard

The problem

  • →Email platform exports separate sends, opens, clicks, bounces, and unsubscribes into different reports, making campaign-level analysis impossible without joining them manually.
  • →Subject-line performance comparisons require exporting dozens of campaigns and building a pivot table — a task that takes an hour and is done inconsistently across the team.
  • →List health deteriorates gradually. Hard bounces, chronic non-openers, and spam complaints accumulate unnoticed until deliverability drops and inbox placement suffers.
  • →Cohort behaviour — how subscribers acquired in one period engage over time — is invisible in standard ESP dashboards, which only show aggregate stats per send.

Why the usual approach breaks down

ESP exports are campaign-centric, not subscriber-centric

Most email platforms export performance at the campaign level. Subscriber-level analysis — tracking an individual contact's engagement over time — requires either API access or exporting large contact-activity reports that are slow to generate and hard to join across multiple sends.

Metric definitions vary across platforms and time

Open rates became unreliable after Apple Mail Privacy Protection in 2021, but most ESPs still report them without flagging MPP-inflated opens. Click-to-open rate is more accurate but is not always a default column. Switching ESPs mid-year creates schema breaks in historical data.

Sender reputation signals are scattered across tools

Bounce rates come from your ESP. Spam complaint rates come from Google Postmaster Tools and Microsoft SNDS. Inbox placement comes from seed-list tools. No single dashboard shows all three together, so reputation problems are diagnosed late.

Segmentation analysis requires cross-referencing CRM data

To know whether enterprise leads open more than SMB leads, you need to join your ESP export to your CRM's company-size field. That join is straightforward in SQL but requires a data warehouse or a manual VLOOKUP that breaks whenever contact IDs change.

How AnalityQa AI AI solves it

Upload your data — or connect it live — and ask in plain English.

01

Upload campaign exports from any ESP

Drop in CSV exports from Mailchimp, Klaviyo, HubSpot, ActiveCampaign, or any other platform. AnalityQa AI AI detects the schema automatically and normalises metric names so you can ask cross-platform questions without manual column renaming.

02

Join campaign data to your CRM in natural language

Upload a CRM contact export alongside your ESP data. AnalityQa AI AI joins on email address or contact ID and makes CRM fields — company size, plan tier, acquisition source — available as dimensions for every campaign metric.

03

Ask performance questions without building pivot tables

Ask 'Which subject lines had the highest click-to-open rate in Q1?' or 'Show me unsubscribe rate by send time.' AnalityQa AI AI runs the analysis across all campaigns in your export and returns a ranked table or chart instantly.

04

Identify inactive segments before they hurt deliverability

Ask AnalityQa AI AI to flag contacts who have not opened or clicked in a defined window. It queries across your campaign-level or contact-level export and returns a segment you can export back to your ESP for a re-engagement or suppression workflow.

05

Track CTR and open trends on a live dashboard

Pin weekly CTR and click-to-open trend charts to a shared dashboard. Upload a fresh export after each send and the dashboard updates without rebuilding any chart from scratch.

You askedGenerated in 4.2s

"Show me click-through rate trend by week over the last 6 months."

MQLs

2,418+18.2%

CAC

€142−9.4%

ROAS

4.2×+0.6×

Line chart: email CTR by week — last 26 weeks

Last 12 mo

Table: top 10 subject lines by CTOR — Q1 2026, with send volume

Summary: 4,312 contacts with zero clicks in last 90 days — export ready

A dashboard built in AnalityQa AI — from question to chart, no SQL.

Real examples

Paste your data. Ask. Ship.

You

Show me click-through rate trend by week over the last 6 months.

AI

AnalityQa AI AI aggregates your campaign export by send week, sums unique clicks and delivered emails, and calculates CTR for each week across the period.

Line chart: email CTR by week — last 26 weeks
You

Which subject lines had the highest click-to-open rate last quarter?

AI

AnalityQa AI AI groups your Q1 campaigns by subject line, computes click-to-open rate for each, and returns the top 10 ranked by CTOR with send volume as a secondary column.

Table: top 10 subject lines by CTOR — Q1 2026, with send volume
You

Flag contacts who have not clicked in the last 90 days.

AI

AnalityQa AI AI scans your contact-activity export for the 90-day window, identifies contacts with zero clicks across all sends in that period, and returns a count and exportable list.

Summary: 4,312 contacts with zero clicks in last 90 days — export ready
You

Compare open rate and CTR by subscriber acquisition source.

AI

AnalityQa AI AI joins your ESP export to your CRM contact export on email address, groups by acquisition source field, and calculates average open rate and CTR per source.

Bar chart: open rate and CTR by acquisition source — last 90 days
You

Show me unsubscribe rate by send day of the week for the last year.

AI

AnalityQa AI AI extracts the day of week from each campaign's send date, groups unsubscribes and delivered count by that dimension, and calculates unsubscribe rate per day.

Bar chart: unsubscribe rate by send day — last 12 months

What teams get out of it

✓Email teams that cut weekly performance reporting from two hours to under 15 minutes after uploading a standing set of campaign exports.
✓List health improvements from proactively suppressing chronic non-openers before hard-bounce rates trigger deliverability penalties.
✓Higher CTOR on subsequent campaigns by systematically identifying and reusing subject-line patterns that consistently outperform the average.
✓Faster diagnosis of send-time and segmentation effects that were previously invisible in flat per-campaign dashboards.

Frequently asked questions

Which email platforms does AnalityQa AI AI support?+

AnalityQa AI AI works with CSV or Excel exports from any ESP — Mailchimp, Klaviyo, HubSpot, ActiveCampaign, Brevo, and others. If your platform can export a file, AnalityQa AI AI can analyse it. Direct API integrations for major ESPs are on the roadmap.

Open rates are unreliable after Apple Mail Privacy Protection. How does AnalityQa AI AI handle this?+

AnalityQa AI AI reports the open rate figures as exported from your ESP but surfaces click-to-open rate (CTOR) as the primary engagement metric when you ask about performance trends. You can instruct it to exclude Apple MPP-flagged opens if your ESP provides that field.

Can I track individual subscriber engagement over time, not just campaign-level stats?+

Yes, if your ESP supports contact-activity exports. Upload a file where each row represents a contact-campaign interaction and AnalityQa AI AI can build cohort engagement curves, calculate days-to-first-click distributions, or identify subscribers who were active and then went quiet.

How fresh is the data? Does it update automatically?+

Data freshness depends on how often you upload new exports. AnalityQa AI AI does not pull data automatically from ESPs today — you export from your platform and upload. Each new upload replaces or appends to the existing dataset depending on your preference, and all pinned dashboards reflect the latest upload immediately.

How is subscriber email address data protected?+

Uploaded data is stored in your isolated tenant and is never shared with third parties or used to train models. You can delete uploaded files and associated data at any time.

Can AnalityQa AI AI help me build suppression lists for re-engagement campaigns?+

Yes. Ask AnalityQa AI AI to identify contacts meeting your inactivity criteria — for example, no opens or clicks in 60 days — and export the resulting contact list as a CSV. You can then upload that list directly to your ESP as a suppression or re-engagement segment.

We switched ESPs mid-year. Can AnalityQa AI AI handle the schema difference?+

Upload exports from both platforms and AnalityQa AI AI will detect each schema separately. You can then ask it to normalise the shared metrics — sends, clicks, bounces — across both exports and produce a unified time series. Any metric that exists in one platform but not the other is flagged rather than silently dropped.

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