Decisions grounded in results
The edutech platform can see which subject line style actually drove more trial-to-enrolment conversions, rather than continuing to send whatever felt like it was working.
Coming soonEmail Marketing Specialist
See what worked
The business owner can tell which campaigns actually drove opens, clicks and (when connected to a store) revenue, so future sends improve instead of repeating what did not work.
Works with
What it does
How Patri handles this
Patri shows opens, clicks, bounces, unsubscribes and — when a sales or booking system is connected — attributed revenue for each campaign and automation, with trends over time. Numbers are explained in plain language rather than left as raw percentages with no context.
An edutech platform running weekly emails to trial signups has been sending on instinct for months — this subject line style feels like it works, that one does not — because nobody has actually pulled opens, clicks and enrolment numbers together to check whether the feeling matches reality. Budget and effort keep going wherever it feels like something is working, not wherever the numbers actually say it is.
Campaign analytics and reporting shows opens, clicks, bounces and unsubscribes for every campaign and automation, and — when a booking or sales system is connected — attributed enrolments or revenue, with trends laid out over time. Numbers are explained in plain language rather than left as raw percentages with no context, so a decision about what to send next week is grounded in what last week's send actually did, not a feeling about it.
Where see what worked happens
Patri runs this directly on the platforms your customers already use — no separate app for them to install.
- Gmail
- MailChimp
- Brevo
- SendGrid
How it works
Step by step
- 01
Engagement events are captured
Every open, click, bounce and unsubscribe reported back from the sending provider is recorded against the specific campaign or automation step that triggered it, building an accurate picture of what actually happened over the following weeks.
- 02
Numbers roll into trends
Individual campaign results accumulate into a view across weeks and months, so a pattern — steadily rising unsubscribes, a particular subject line style performing better — becomes visible rather than each send existing entirely in isolation, alone.
- 03
Conversions attribute back when connected
When a booking or sales system is connected, a downstream enrolment or purchase within a defined attribution window is matched back to the campaign that likely drove it, shown as an estimate rather than a hard fact.
- 04
Results are explained, not just listed
A metric comes with plain-language context — what a given bounce rate typically suggests, why unsubscribes ticked up — rather than a bare percentage the platform owner has to interpret entirely alone, unaided by anyone at all.
Why it matters
What you get out of it
Patterns visible across weeks
A steadily climbing unsubscribe rate or a consistently stronger-performing format becomes visible as a trend, not just a single number attached to one email in isolation.
Context, not raw percentages
A plain-language explanation of what a given metric typically suggests means the platform owner does not have to already be a data analyst to act on the report sensibly.
The detail
What to know before you rely on it
Open-rate tracking depends on a tracking pixel loading, and that mechanism has become a weaker signal in recent years — Apple Mail Privacy Protection and similar features now pre-fetch that pixel for a meaningful share of recipients, registering an open the moment the email is delivered rather than when a person actually looks at it. This is why open rate is presented as a directional signal rather than an exact count, and why click-through and unsubscribe rate — harder to inflate the same way — should never get overshadowed by a headline open number stronger than underlying engagement actually is.
Revenue or enrolment attribution carries its own honesty requirement: matching a downstream purchase or signup back to a campaign always uses a defined, disclosed attribution window, presented as an estimate, never as a claim the email definitely caused the sale. A student who saw three emails and then enrolled cannot be cleanly credited to exactly one with certainty — the model makes a reasonable, disclosed judgement call, and reporting that treats it as more certain would mislead the owner about how firm the number actually is.
Analytics can only report on what happened; it cannot retroactively fix a campaign's inbox placement problem or explain away a bounce rate stemming from a stale, unmaintained list rather than the email's content. A rising bounce trend is a useful early signal worth investigating through list hygiene and deliverability monitoring, not something this layer alone can resolve — it surfaces the pattern clearly, but the fix for a stale list or authentication problem lives elsewhere.
Industry use cases
Where this earns its keep
13 industries where Patri applies this directly.
Patri sends service-reminder and follow-up sequences tied to a vehicle's purchase or last-service date, and recovers stalled test-drive or quote inquiries.
A dealership's website inquiry form feeds new leads into a segmented list; Patri sends a short nurture sequence over the following two weeks and a service-due reminder automation runs quietly in the background for existing customers.
See the automotive playbookPatri nurtures inbound leads with a multi-step sequence tied to lead source and engagement level, and a require-approval step keeps outbound tone consistent before anything reaches a prospect's inbox.
A software reseller captures demo requests through a signup form; Patri enrolls each lead in a welcome-and-nurture automation while the sales manager reviews and approves the first broadcast to a larger prospect list before it sends.
See the b2b sales playbookPatri sends compliant, opt-in-only product update and rate-change emails, with an approval step and DPDP-aligned consent records to satisfy internal audit requirements.
A regional NBFC branch collects customer email consent at account opening; Patri stores that consent record and later sends a fixed-deposit rate update only to customers whose consent record is on file, routed through a manager approval step first.
See the banking and finance playbookPatri sends abandoned-cart recovery emails when a product page visit does not convert, and personalizes campaigns by past purchase category (skincare vs. makeup).
A D2C skincare brand connects its online store; when a shopper adds a serum to cart but leaves, Patri's recovery automation sends a reminder a few hours later without any manual action from the brand's small team.
See the beauty and cosmetics playbookPatri runs a welcome series for new course sign-ups and a re-engagement sequence for learners who have gone quiet, segmented by course category.
An online exam-prep platform enrolls every new trial signup into a welcome series that introduces study resources over the first week, while a separate automation checks in on students who have not logged in for two weeks.
See the education playbookPatri lets a solo consultant send a simple newsletter and a short automated welcome sequence to new subscribers from their portfolio site, with minimal setup.
An independent designer adds a signup form to their portfolio page; Patri captures each new subscriber's consent and sends a two-email welcome sequence introducing recent work.
See the freelancers and consultants playbookPatri sends appointment-reminder-style nurture sequences and re-engagement campaigns while keeping AI-drafted copy under human review for any health-related claims.
A physiotherapy clinic uses a welcome sequence for new patient inquiries and a quarterly newsletter reviewed by the clinic owner before sending, since Patri flags AI-drafted health claims for manual approval.
See the health and wellness playbookPatri recovers abandoned online-catalogue browsing sessions and segments subscribers by room category (kitchen, living room, bedroom) for more relevant campaigns.
A modular-furniture retailer connects its catalogue site; a visitor who views a wardrobe configuration but does not request a quote receives a follow-up email a day later through Patri's recovery automation.
See the home decor and furnishing playbookPatri gives an agency a shared approval workflow and per-client segmentation so campaigns for multiple clients can be drafted, reviewed and sent from one workspace without mixing lists.
An agency managing five retail clients keeps each client's contact list and consent records separate in Patri, with every draft campaign routed through the account manager's approval before it reaches that client's subscribers.
See the marketing agencies playbookPatri nurtures property inquiries with a timed follow-up sequence and requires approval before any campaign reaches a broader buyer list.
A brokerage captures site-visit inquiries through a signup form; Patri enrolls each inquiry in a nurture sequence that shares similar listings over the following weeks, while a broadcast to the full buyer list still needs the principal broker's sign-off.
See the real estate playbookPatri sends offer and event campaigns to a diner list built from in-store signup forms, respecting unsubscribe requests immediately so complaint rates stay low.
A restaurant collects email addresses through a QR-code signup form at checkout; Patri sends a monthly offer email to that list and automatically suppresses anyone who unsubscribes from future sends.
See the restaurants and food playbookPatri runs a re-engagement automation for clients who have not booked in a while and personalizes campaigns by service history (hair vs. spa vs. nails).
A salon connects its booking system; clients with no visit in the last two months are automatically enrolled in Patri's re-engagement sequence, which pauses immediately if the client books a new appointment.
See the spas and salons playbookPatri sends post-inquiry nurture sequences for travel packages and abandoned-booking recovery emails when a quote request is not completed.
A travel agency's package-inquiry form feeds into Patri, which sends a short sequence of destination highlights over the following days and a follow-up if the traveler started but did not finish a booking request.
See the travel and tourism playbookMore from Patri
Everything else it handles
Draft and send email campaigns
The business gets a professional-looking email out to its list without hiring a designer or writing code.
Learn moreTarget the right subscribers
The business sends fewer, more relevant emails and avoids annoying subscribers who do not care about a given message.
Learn moreSet up automated email sequences
The business nurtures leads and customers on autopilot — a welcome series, a re-engagement sequence — without anyone remembering to hit send each day.
Learn moreGreet new subscribers automatically
New subscribers and customers get an immediate, on-brand introduction instead of silence after they sign up.
Learn moreRecover lost sales and drop-offs
The business wins back revenue and engagement from people who started something (a cart, a booking, an inquiry) and did not finish.
Learn moreTest subject lines and content before a full send
The business finds out which subject line or message performs better before committing the whole list to one version.
Learn moreQuestions
Straight answers.
Why does open rate seem unreliable compared to click rate?
Open tracking relies on a tracking pixel loading, and several major mail clients — Apple Mail among them — now pre-fetch that pixel automatically for a meaningful share of recipients, registering an open the instant the email arrives rather than when a person actually reads it. Click-through rate reflects a genuine, deliberate action instead, which is why it is a sturdier signal to weigh more heavily than a headline open number that can look inflated for reasons unrelated to actual engagement.
Can this tell me a specific sale or enrolment was caused by a specific email?
Not with certainty — attribution matches a downstream purchase or enrolment back to a campaign within a defined, disclosed time window, and it is presented as a reasonable estimate rather than a guaranteed causal link. A student who saw several emails before enrolling cannot be cleanly credited to exactly one of them, and the report is built to reflect that honestly rather than overstate how firm the number actually is.
If our bounce rate is climbing, does the analytics dashboard fix that for us?
No — the dashboard surfaces the rising trend clearly so it gets noticed, but the underlying cause and the fix live elsewhere, typically in list hygiene or deliverability monitoring. A climbing bounce rate is frequently a sign of a stale, unmaintained list rather than a problem with the campaign's content, and it is worth investigating there rather than expecting the reporting layer itself to resolve it.
Do I need a connected booking or sales system to see any useful analytics at all?
No — opens, clicks, bounces and unsubscribes are tracked and reported for every campaign regardless of whether anything else is connected to the workspace at all. A connected booking or sales system adds the further layer of attributed enrolments or revenue on top of that base reporting, but it is not required to get useful, actionable engagement numbers in the first place.
The rest of your stack
It plugs into what you already run.
Patri connects to your tools
No rip-and-replace — see what worked works alongside the systems already running your business.
- Shopify
- WooCommerce
- Zoho
- Google Sheets
- HubSpot
- Salesforce
- Typeform
- Zapier
- Airtable
- Stripe
Coming soon