Us - ROI Calculators - Personalization

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.

Find the moment

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

Recommend what fits

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

Personalize the return visit

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

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 traffic

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

Recommendation relevance

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

Engagement rate

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

Conversion on recs

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

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

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

Timing of the offer

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

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

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

Director of CX, GOPURE
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

Chief Executive Officer, MarsGHC
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

VanillaPura

4.8 ★

out of 5 stars on G2.com

4.8 ★

out of 5 stars on G2.com

5B+

shipments automated per year

Post-purchase that plugs into
your existing stack

600+ Carrier Partners
75+ Communication Gateways
50+ Storefronts, OMS, WMS

Shopify
Magento
Klaviyo
Attentive
Shipbob
Shiphero
UPS
USPS

See all integrations

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.

Turn post-purchase attention into orders