Toast → Iterable · Conversion tracking
Connecting Toast to Iterable
Toast holds the check, and a restaurant check is the only place where an online order, a dine-in tab and a catering deposit are all denominated in the same money. Iterable orchestrates journeys across email, push, SMS and in-app from one user profile, which means a single mis-shaped event can trigger four channels at once. The join between them succeeds or fails on one thing: whether the user ID or email on the profile reaches the Toast order before the conversion happens, because Iterable can only match a conversion it can tie back to a click it recognizes.
✓ 30-minute call · No commitment · You leave with a written remediation plan even if we’re not the right fit.
Written guarantee
95%+ conversion accuracy on Toast → Iterable
Measured against your own order records at handover. Miss it and we keep working at no cost until it’s met.
Built on — and certified for — the platforms that matter
Stape
Pro Partner
Meta
Tech Provider
Tag Manager
TikTok
Events API
Microsoft
UET Partner
CAPI Partner
CAPI Partner
Built on the same partner stack used by enterprise DTC brands.
By the numbers
No fake testimonials.Just the math.
70+
Platforms supported
Shopify · Woo · Magento · BigCommerce · 65 more
8+ / 10
Meta EMQ guaranteed
in writing — keep working free until hit
2–4d
Build to live
accurate data flowing within 7 days
$0
Monthly fees, ever
one-time fixed price · you own the stack
400d
Cookie lifetime
max RFC 6265bis allows · 57× Safari ITP
9
Ad channels covered
Meta · Google · TikTok · MS · LI · Pin · Snap · Reddit · X
95%+
Tracking accuracy
verified vs Stripe · GA4 · ad-platform reports
30 min
Free founder call
no SDR · no pitch deck · written remediation plan
Every figure above is either a commitment we put in writing or a countable fact. What your own setup is losing is not on this list, because we haven’t measured it yet — that happens on the call, against your own order records.
Real clients · real videos · real outcomes
Don’t take our word for it. Watch the receipts.
Founders, marketers, and agency owners describing the before-and-after of their Toast → Iterable tracking rebuild — in their own words, on camera.
Why this join usually fails
The user ID or email on the profile never reaches Toast
The single most common cause. Toast Online Ordering runs on a Toast-hosted subdomain. Guests leave your site to place the order, so the click identifier is dropped at the handoff unless it is deliberately carried across.
Dine-in revenue that advertising will never see
Most restaurants take the majority of their money from people who walked in. That revenue is real, it is often driven by the same advertising, and there is no honest way to attribute it to a click. Say so rather than quietly excluding it.
One duplicate, four channels
Cross-channel orchestration multiplies the cost of a bad event. Where a duplicate in an ad platform is a reporting error, here it reaches the customer on their phone, in their inbox and inside the app, about a single purchase.
Nothing reconciles afterwards
An upload that succeeds is not an upload that matched. Iterable shows the user profile with its event history and journey membership. Read the profile, and check whether a duplicate profile was created by the same email arriving in a different case.
Architecture
How Toast and Iterable actually connect
Two systems that know nothing about each other. Everything below exists to give them one shared reference.
Step 1
Toast holds the truth
Order channel is the field that matters. Only the online channel can carry an advertising identifier at all; the rest is revenue you can measure but cannot attribute, and pretending otherwise inflates every ratio you calculate.
Step 2
Iterable needs a click to match
The user identifier, the event name and the data fields the journey conditions reference. A journey branching on a field that arrives empty will take the wrong path silently.
Step 3
The identifier is the bridge
The user ID or email on the profile, captured at the visit and carried into the Toast order. Without it there is nothing to join on and no tool fixes that.
Step 4
The event source decides reliability
Send the closed check total, not the cart. Restaurant orders get modified at the pass constantly — an item 86'd, a substitution, a comped appetizer — and the cart figure is routinely wrong by the time the guest pays.
Step 5
Deduplication at the destination
Iterable does not deduplicate events. A purchase sent twice can advance a journey twice, and because journeys span channels the duplicate can produce an email, a push and an SMS about one order.
Diagnose it honestly
Working vs. broken, side by side
Both states look identical from the Iterable dashboard, which is why this runs for months before anyone notices.
Normal — not a fault
The user ID or email on the profile present on the order
Visible on the record itself in Toast, not merely captured somewhere on the site.
Sent from the Toast order feed
Server-side, so it does not depend on the customer's browser still being there.
Deduplicated correctly
Iterable does not deduplicate events. A purchase sent twice can advance a journey twice, and because journeys span channels the duplicate can produce an email, a push and an SMS about one order.
Reconciles with the source
Iterable's count and Toast's records agree within a few percent over a closed window.
Actually broken
The user ID or email on the profile missing on most records
Toast Online Ordering runs on a Toast-hosted subdomain. Guests leave your site to place the order, so the click identifier is dropped at the handoff unless it is deliberately carried across.
Sent from the browser
Anyone who closes the tab, blocks the script or converts without a page load is invisible. Most restaurants take the majority of their money from people who walked in. That revenue is real, it is often driven by the same advertising, and there is no honest way to attribute it to a click. Say so rather than quietly excluding it.
Counted twice, or not at all
Cross-channel orchestration multiplies the cost of a bad event. Where a duplicate in an ad platform is a reporting error, here it reaches the customer on their phone, in their inbox and inside the app, about a single purchase.
Nobody has reconciled it
The dashboard shows a number and no one has compared it to Toast. A wrong number that nobody checks is indistinguishable from a right one.
Diagnostic sequence
Diagnostic order
Each step rules out a class of cause. Run them in order and the last one usually has a single explanation standing.
- 1
Count orders carrying the user ID or email on the profile
The ceiling on everything else. Do this before debugging anything downstream.
- 2
Follow one real conversion end to end
From the ad click through Toast and into Iterable.
- 3
Split checks by dining option before anything else
Online, dine-in, takeout, delivery, catering. If those are pooled, an increase in dine-in reads as advertising success and an increase in ad spend reads as waste.
- 4
Send a test event and read every journey it entered
Not just whether the event arrived — which journeys it triggered and what each one sent. That is the blast radius.
- 5
Read the match rate, not the success message
Iterable shows the user profile with its event history and journey membership. Read the profile, and check whether a duplicate profile was created by the same email arriving in a different case.
Source-of-truth validation
How it gets proven
Against Toast's own records, not against either platform's dashboard.
- The user ID or email on the profile confirmed present on a live order.
- A real conversion followed from click through Toast to Iterable.
- Purchases confirmed on single user profiles with the triggered journeys verified, tested in a non-production project first.
- Closed checks on the online channel reconciled against imported conversions for a fully settled business week.
- Reconciled over a fully closed window, matched per record rather than on totals.
- Re-checked 30 days later.
Straight talk
When you don't need this
Worth reading before paying anyone, including us.
- If Iterable already reports conversions that reconcile against Toast's records within a few percent, this join is working and there is nothing to buy.
- Measure identifier coverage yourself first — pull your last hundred orders and count how many carry the user ID or email on the profile. Ten minutes, free, and it tells you whether any of this is worth doing.
- If online ordering is a rounding error against your dine-in volume, the honest answer is that paid search cannot be measured on revenue here — measure it on order volume and stop there.
- If you send on a schedule rather than on behaviour, a simpler email platform does the job without the cross-channel blast radius.
Who this is for
Honest about who we’re a fit for.
We don’t take every project. Here’s how to tell if we’re right for you.
You’re a great fit if…
- You run Toast → Iterable (or are migrating to it)
- You spend $5K+/month on paid ads (Meta, Google, TikTok, Microsoft, LinkedIn)
- Your reported ROAS doesn’t match what your bank account is saying
- You want to own your tracking stack — no monthly SaaS fees forever
- You have 2–4 days to do this once and never think about it again
Skip us if…
- You spend less than $500/month on paid ads (browser pixel is fine)
- You want a SaaS dashboard with monthly fees forever (Triple Whale, Hyros)
- You need attribution modeling — we fix the data foundation, not multi-touch reports
- You want a 6-month enterprise consulting engagement (we ship in 4 days)
- You expect us to manage your ad accounts (we don’t — that’s a different service)
If you’re still unsure,book the call anyway— we’ll tell you straight whether we can help.
What working looks like
The user ID or email on the profile on every order
Server-sideCaptured before the conversion and stored where it survives.
Conversions arriving in Iterable
8+ EMQThe event lands on the user profile, evaluates against every running journey, and may trigger sends across several channels immediately.
Reconciled against the source
DedupedToast's own records are the reference, not either dashboard.
What gets built
Identifier capture into Toast
Carry the identifier through the ordering link as a supported parameter and persist it against the guest record, so the check that closes hours later still knows which click produced it.
Event source: the Toast order feed
Send the closed check total, not the cart. Restaurant orders get modified at the pass constantly — an item 86'd, a substitution, a comped appetizer — and the cart figure is routinely wrong by the time the guest pays.
Dispatch to Iterable
The Iterable events API, posted server-side with the user identifier and event fields.
Reversals where they exist
Voids, comps and refunds should all reduce the figure. Restaurants void more than most businesses expect.
Pick the package that fits your ad spend
Fixed-fee, no surprises. If your ad spend is meaningful,server-side tracking is what we recommend— it’s the only setup that survives iOS, Safari ITP and ad blockers.
Browser-side starter
Wires the join and verifies it on a live conversion. Honest about its ceiling where the source can only be read from the browser.
- The join built and tested end to end
- Verified on a real conversion
- Reconciled against the source's own records
- Written handover
1st-party server-side
Save $18K–$120K over 5 years vs Triple Whale / Hyros
The join built server-side from the source's own records, so it does not depend on a browser being present when the conversion happens.
- Events sourced from the system of record, not the browser
- Identifier captured and persisted end to end
- Deduplicated at the destination
- Reversals wired where the source supports them
- 95%+ accuracy guaranteed in writing
Full 1st-party stack
Every destination fed from one place, plus monitoring so a broken join surfaces in days rather than at quarter end.
- Everything in 1st-party server-side
- All paid destinations from one container
- CRM and offline loop
- Refunds and cancellations reversed everywhere
- Monitoring per destination
Not sure which tier fits?Book a 30-min scoping call— we’ll tell you straight, no upsell pressure.
How it works
Built in 2–4 days. Accurate data within 7.
We deliver the entire 1st-party server-side stack in 2–4 business days. You start collecting accurate, deduped conversion data the moment it goes live — and within 7 days every signal is flowing cleanly to Meta, Google, TikTok and the rest.
Kickoff + audit
30-min call. We map your current pixels, GTM, dataLayer, consent setup, and ad-platform integrations. You get a written report of every leak.
Build the stack
Server-side GTM container deployed on your subdomain. Meta CAPI · Google EC · TikTok Events API · Microsoft UET wired. Identity match + dedup configured.
QA + go-live
Live-fire test purchases across every funnel step. Meta EMQ verified at 8+. Tag Assistant + Pixel Helper passes. Side-by-side report delivered.
Verify accuracy
Your data flows clean. Within 7 days every signal — Meta, Google, TikTok, Microsoft — is fully accurate. Notion runbook + Loom walkthrough handoff.
Got questions?
The honestanswers.
No buzzwords, no upsell. If we don’t know, we say so.
01Why aren't my Toast conversions showing in Iterable?
Almost always because the user ID or email on the profile never reached the Toast order. Toast Online Ordering runs on a Toast-hosted subdomain. Guests leave your site to place the order, so the click identifier is dropped at the handoff unless it is deliberately carried across. Measure coverage before debugging the dispatch.
02What identifier does Iterable need?
Iterable resolves to a user by userId or email. Sending an event with an email that does not exist creates a new user rather than updating one, which fragments the profile and means a customer can sit in two journeys simultaneously with neither complete.
03Where should the event come from?
The Toast order feed. Send the closed check total, not the cart. Restaurant orders get modified at the pass constantly — an item 86'd, a substitution, a comped appetizer — and the cart figure is routinely wrong by the time the guest pays.
04How do I know it worked?
Iterable shows the user profile with its event history and journey membership. Read the profile, and check whether a duplicate profile was created by the same email arriving in a different case.
Still have questions?Book a 30-min call— bring them all.
The call
What happens on your free 30-min call
No pitch deck, no SDR, no upsell pressure. Founder-led. Bring your ad-platform screens and yourToast → Iterable setup — we’ll work through it together.
Min 1–5
We get the lay of your store
What you sell, what you spend on ads, who handles dev. Quick context-gathering — no questionnaire upfront.
Min 5–15
We audit your tracking live
Screen-share. We open your Meta Events Manager, GTM, and ad reports. You see exactly which conversions are leaking.
Min 15–25
We map a fix
What needs rebuilding, what stays. The exact Toast → Iterable setup we'd ship and what it would recover for you.
Min 25–30
Decide. Or don’t.
If we're a fit, we send a 1-page proposal in writing. If not, you walk away with a free remediation plan you can hand to anyone.
Get Toast and Iterable joined properly
Book a free 30-minute call. We measure your identifier coverage live on your own account, and you leave with a written plan — including the option that you don't need us.
Free · 30-min consultation · No commitment · Replies in under 2 hours · Available worldwide via WhatsApp
Using Toast for bookings? How Toast bookings get tracked end to end
95% tracking accuracy guarantee
Free 30-min consultation · from $400 · 1st-party server-side
95% guarantee · from $400
