and runs during HTML parse, but hubspotutk is set by js.hs-analytics.net, measured loading at ~834ms. On a first visit the cookie does not exist yet, so a single read returns nothing and the visitor gets no external ID at all — and a first visit is exactly what an ad click is. So poll briefly until HubSpot sets it. The SDK loads lazily (~4.5s) and replays a queue, so an init queued a second or two in still lands before any events are transmitted. */ (function attachExternalId() { var attempts = 0; var MAX_ATTEMPTS = 40; /* 40 x 200ms = 8s, then give up quietly */ var timer = null; function tryAttach() { var raw = getExternalId(); if (!raw) { if (++attempts >= MAX_ATTEMPTS && timer) clearInterval(timer); return; } if (timer) clearInterval(timer); sha256Hex(raw).then(function (hash) { oaiq("init", { user: { external_id_sha256: hash } }); }).catch(function () {}); } tryAttach(); /* returning visitor: immediate */ if (!getExternalId()) timer = setInterval(tryAttach, 200); })(); /* --------------------------------------------------------------------------- 2. Load the SDK off the critical path Whichever comes first: the main thread going idle after load, or the first sign of real user intent. No preconnect on purpose — a TLS handshake during LCP for a script we deliberately deferred is a net loss. Measured on clickpost.ai: load event 3614ms, SDK fetched 4508ms. ------------------------------------------------------------------------ */ var loaded = false; var INTENT = ["pointerdown", "keydown", "scroll"]; function loadSdk() { if (loaded) return; loaded = true; INTENT.forEach(function (t) { removeEventListener(t, loadSdk, { passive: true }); }); var s = document.createElement("script"); s.src = SDK; s.async = true; s.fetchPriority = "low"; document.head.appendChild(s); } INTENT.forEach(function (t) { addEventListener(t, loadSdk, { passive: true, once: true }); }); addEventListener("load", function () { window.requestIdleCallback ? requestIdleCallback(loadSdk, { timeout: 2500 }) : setTimeout(loadSdk, 1500); }, { once: true }); /* --------------------------------------------------------------------------- 3. Conversion id sha256(lowercase(email) + "|" + formId + "|" + ISO-hour), first 20 hex, "lead_" prefix. - email lowercased/trimmed so casing does not fork the id - formId keeps two different forms in the same hour from colliding - the hour bucket is only the server's fallback; the id computed here is sent to the relay verbatim, so the two paths cannot disagree even when a submit straddles an hour boundary Ads Manager's own sample omits event_id. We send it so the pixel event and the relay event collapse into one conversion instead of counting twice. ------------------------------------------------------------------------ */ function buildEventId(email, formId) { var seed = [ String(email || "").trim().toLowerCase(), String(formId || ""), new Date().toISOString().slice(0, 13) ].join("|"); return crypto.subtle.digest("SHA-256", new TextEncoder().encode(seed)).then(function (buf) { var hex = Array.prototype.map.call(new Uint8Array(buf), function (b) { return b.toString(16).padStart(2, "0"); }).join(""); return "lead_" + hex.slice(0, 20); }); } /* Guards a re-fire from the history.pushState that book-a-demo-core.js runs after submit, and from back-navigation onto the same state. */ function firedOnce(id) { try { if (sessionStorage.getItem("oaiq_" + id)) return true; sessionStorage.setItem("oaiq_" + id, "1"); return false; } catch (e) { return false; /* private mode / blocked storage: fire rather than lose it */ } } /* Path 2. keepalive lets the request finish even if the page navigates away. Failures are swallowed deliberately: a reporting call must never surface an error to someone who just submitted a form. The relay hashes the email server-side into user.emails_sha256 and adds the caller's IP and user agent, so this event carries the same match signals the pixel gets for free. */ function sendToRelay(email, formId, eventType, eventId) { try { var payload = { token: RELAY_TOKEN, email: email, form_id: formId || "", event_type: eventType, event_id: eventId, /* verbatim, so both paths always match */ source_url: location.href }; var oppref = getOppref(); if (oppref) payload.oppref = oppref; var externalId = getExternalId(); if (externalId) payload.external_id = externalId; fetch(RELAY_URL, { method: "POST", keepalive: true, headers: { "Content-Type": "application/json" }, body: JSON.stringify(payload) }).catch(function () {}); } catch (e) {} } /* Capture the email while the form is still on the page. onFormSubmitted does not reliably carry submissionValues, and by then the form may be removed. */ var lastEmail = ""; document.addEventListener("submit", function (e) { var f = e.target; if (!f || !f.querySelector) return; var i = f.querySelector('input[name="email"], input[type="email"]'); if (i && i.value) lastEmail = i.value; }, true); /* Every HubSpot form on the site reports through this one message event, so no module or theme JS needs editing to add coverage. */ window.addEventListener("message", function (e) { var d = e.data; if (!d || d.type !== "hsFormCallback" || d.eventName !== "onFormSubmitted") return; var email = (d.data && d.data.submissionValues && d.data.submissionValues.email) || lastEmail; if (!email) return; /* without an email there is no stable id to dedupe on */ var eventType = EVENT_BY_FORM[d.id] || EVENT_DEFAULT; buildEventId(email, d.id).then(function (id) { if (firedOnce(id)) return; oaiq("measure", eventType, { type: DATA_TYPE }, { event_id: id }); /* path 1 */ sendToRelay(email, d.id, eventType, id); /* path 2 */ }); }); })();

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ROI Calculator · Personalization

Turn post-purchase attention into orders

Measure the revenue lift from personalized tracking pages and post-purchase upsells. Calculate added LTV with ClickPost's personalization ROI calculator. 

1. Tell us about your business

Defaults are typical benchmarks. Change any value to fit your business.

2. Fine-tune the impact assumptions

Defaults are ClickPost platform benchmarks. Leave them for a conservative estimate, or match your own data.

How it works

Turn post-purchase pages into a channel in four steps

Every tracking and order page becomes a place to recommend, re-sell, and route shoppers back to the store while they wait on a delivery.

div.cp-roi__hvis (4)

Find the moment

Shoppers open tracking and order pages again and again while they wait. That attention is already yours.

div.cp-roi__hvis (5)

Recommend what fits

Show complementary and replenishment items tied to what they just bought, not a generic grid.

div.cp-roi__hvis (6)

Personalize the return visit

Tailor the store for shoppers arriving from a tracking link so the visit converts higher than a cold one.

div.cp-roi__hvis (7)

Measure the lift

Attribute the extra orders and the bigger baskets back to the post-purchase surface, and keep what works.

Cost anatomy

Eight levers that determine post-purchase conversion

These are the inputs that decide how much extra revenue your post-purchase pages can add.
Tracking Page

Tracking-page traffic

The size of the audience you get to personalize. More waiting shoppers, more to work with.

Recommendation relevance

Recommendation relevance

A poor match gets scrolled past. A relevant one gets bought. Relevance is the whole game.

Engagement rate

Engagement rate

The share of visitors who actually click a recommendation rather than glance and leave.

Conversion on recs

Conversion on recs

Of the shoppers who engage, how many finish the purchase.

Cross-sell basket size

Cross-sell basket size

The value of an add-on next to the original order. Small add-ons still compound at volume.

Repeat-visit conversion

Repeat-visit conversion

How much better a tailored return visit converts than a plain, cold session.

Timing of the offer

Timing of the offer

A recommendation at delivery lands differently than one shown mid-transit. Context changes intent.

Timing of the offer (1)

Catalog depth

A thin catalog limits what you can suggest. Range gives the engine room to work.

The math

ROI calculation formulas

Transparent methodology. These are the formulas the calculator runs. The benchmark constants inside them come from ClickPost platform data, and you can change every rate in the advanced panel.
Step 1
Revenue from recommendations
(N × 0.33) × engage × conv × AOV × crossShare

Cross-sell revenue from tracking-page visitors who click a recommendation and buy.

Step 2
Revenue from repeat visits
N × AOV × 0.33 × 0.1667 × 0.4359 × wcr × repeatLift

The extra orders from lifting conversion on the traffic tracking pages already send back.

Total ROI
recommendations + repeat visits
N = annual orders · AOV = average order value · wcr = website conversion rate · engage = recommendation engagement · conv = recommendation conversion · crossShare = cross-sell value vs AOV · repeatLift = repeat-visit conversion lift

Powering post-purchase for 600+ brands worldwide

  • GOPURE

    ClickPost helped us create a return experience that fit our business instead of forcing us to fit the platform. They customized our workflows without additional costs or developer support. The automation they built for our returns, freed up 5 hours a week.

    Sandy Vangyi
    Sandy Vangyi
    Director of CX, GOPURE
  • BG

    We’ve been using Clickpost and it’s genuinely been super helpful. The post-purchase upsells have been a solid bonus for incremental revenue.

    Samarth Sindhi
    Samarth Sindhi
    Chief Executive Officer, MarsGHC
  • VanillaPura - BG

    Great experience and fantastic support from ClickPost. This immediately cut our top post-purchase support tickets, making ROI easy to quantify. Plus, the customization features and upsell tools help increase AOV. Highly recommend.

    Paul Fulton
    Paul Fulton
    VanillaPura
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out of 5 stars on G2.com

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Post-purchase that plugs into
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It estimates the incremental revenue from personalized recommendations and offers shown during the post-purchase window, mainly on the branded tracking page and order updates. You enter your volume and order value, and it returns the added revenue those placements generate.

Your monthly orders or tracking-page visits, average order value, and the conversion rate you expect on post-purchase recommendations. The calculator fills in a conservative default conversion rate you can adjust to match your own data.

They are based on published post-purchase upsell performance, where well-targeted offers commonly convert a few percent of viewers. The default is set low on purpose, and you can replace it with your own recommendation conversion rate for a number that reflects your store.

It is built to count incremental revenue. The recommendations run in the post-purchase window on traffic that has already checked out, so the offers reach buyers at a moment they weren't otherwise shopping, rather than discounting a sale you were going to make anyway.

Yes. Offers key off order history and customer value, so a first-time buyer, a VIP, and an at-risk customer can each see a different message. The product suggestions draw from your catalog and what the customer just bought.

Setup runs on your existing store and email tools like Shopify and Klaviyo, so recommendations go live without new infrastructure. You measure lift as revenue from post-purchase placements against orders that didn't see them, tracked alongside your other channels.

. window.disableHubSpotCookieBanner = true; function killNative() { var n = document.getElementById("hs-eu-cookie-confirmation"); if (n && n.parentNode) { n.parentNode.removeChild(n); return true; } return false; } killNative(); if (window.MutationObserver) { var mo = new MutationObserver(function () { killNative(); }); mo.observe(document.documentElement, { childList: true, subtree: true }); setTimeout(function () { mo.disconnect(); }, 15000); } var COOKIE = "cp_cookie_consent"; var EU = ["at","be","bg","hr","cy","cz","dk","ee","fi","fr","de","gr","hu","ie","it","lv","lt","lu","mt","nl","pl","pt","ro","sk","si","es","se","gb","uk","is","li","no","ch"]; function readCookie(nm) { var m = document.cookie.match(new RegExp("(?:^|; )" + nm + "=([^;]*)")); return m ? decodeURIComponent(m[1]) : null; } function writeCookie(nm, val, days) { var d = new Date(); d.setTime(d.getTime() + (days * 864e5)); document.cookie = nm + "=" + encodeURIComponent(val) + ";expires=" + d.toUTCString() + ";path=/;SameSite=Lax" + (location.protocol === "https:" ? 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"true" : "false"); }); } function fromToggles() { var state = { analytics: false, advertisement: false, functionality: false }; Array.prototype.forEach.call(toggles, function (t) { var key = t.getAttribute("data-cpcb-toggle"); if (key in state) state[key] = t.getAttribute("aria-checked") === "true"; }); return state; } function commit(state, revoke) { writeCookie(COOKIE, JSON.stringify({ analytics: !!state.analytics, advertisement: !!state.advertisement, functionality: !!state.functionality, v: 1, ts: Date.now() }), days); apply(state, revoke); hide(); } Array.prototype.forEach.call(toggles, function (t) { if (t.disabled) return; t.addEventListener("click", function () { t.setAttribute("aria-checked", t.getAttribute("aria-checked") === "true" ? "false" : "true"); }); }); banner.addEventListener("click", function (e) { if (!e.target || !e.target.closest) return; var btn = e.target.closest("[data-cpcb-action]"); if (!btn) return; var action = btn.getAttribute("data-cpcb-action"); if (action === "customise") { expand(); return; } if (action === "accept") { commit({ analytics: true, advertisement: true, functionality: true }, false); return; } if (action === "reject") { commit({ analytics: false, advertisement: false, functionality: false }, true); return; } if (action === "save") { commit(fromToggles(), true); return; } }); var existing = stored(); if (existing) { apply(existing, false); paint(existing); collapse(); } else if (!inScope(banner)) { // Out of the consent-required region: implied consent, banner never shown. commitSilently(); } else { collapse(); show(); } function commitSilently() { var all = { analytics: true, advertisement: true, functionality: true }; writeCookie(COOKIE, JSON.stringify({ analytics: true, advertisement: true, functionality: true, v: 1, ts: Date.now(), implied: true }), days); apply(all, false); } // Public re-open hook for a footer "Cookie settings" link. window.cpCookieBanner = window.cpCookieBanner || {}; window.cpCookieBanner.open = function () { var s = stored() || { analytics: false, advertisement: false, functionality: false }; paint(s); expand(); show(); }; } function boot() { var banners = document.querySelectorAll("[data-cpcb]"); if (!banners.length) return; init(banners[0]); document.addEventListener("click", function (e) { if (!e.target || !e.target.closest) return; var trigger = e.target.closest("[data-cp-cookie-settings]"); if (!trigger) return; e.preventDefault(); if (window.cpCookieBanner && window.cpCookieBanner.open) window.cpCookieBanner.open(); }); } if (document.readyState === "loading") { document.addEventListener("DOMContentLoaded", boot); } else { boot(); } })();