Before Black Friday / Cyber Monday

Get up to 73% more from your affiliate traffic this BFCM

Your affiliate traffic is already paying off. It could pay more. Shoppers who click through a partner arrive expecting a specific brand, offer and price. When the site forgets that context, the sale leaks. Here's where the revenue goes, and four ways to keep it before BFCM.

+73% revenue per user on affiliate traffic vs control, last 90 days, across ClickMint's portfolio

Get a free BFCM funnel assessment
See the four changes
Nov 27Black Friday

Changes booked by Fri Nov 13 can be live before Black Friday.

Illustrative example, not a forecast

Same traffic. A bigger November.

Today: $50,000 in November affiliate revenue

With a comparable 73% lift: $86,500

+$36,500 from the same traffic

No extra clicks, no extra commission rate, no new partners. Just more of the shoppers you already send to the site completing a purchase.

Illustration only, using a hypothetical $50,000 program and the 73% lift we measured on affiliate traffic across ClickMint's portfolio over the last 90 days. Results vary by brand, offer and traffic mix.

Try it with your own November number.

Illustrative, not a forecast.

Any amount from $5,000 to $1,000,000.

With a comparable 73% lift

$86,500

Added from the same traffic

+$36,500

The four changes

Affiliate shoppers already said yes to a partner. These four changes keep that yes alive until checkout.

01

Co-branded funnels for individual affiliates

Illustrative example

The friction

A shopper clicks from a creator, publication, cashback or coupon site they trust, then lands on a generic homepage. The reason they clicked is gone, and they start over or leave.

The experience

  • A landing page built for that partner: "Picked by Rakuten" in the header.
  • Messaging that matches the partner's angle (a featured deal, a review's top product, a cashback or coupon offer).
  • The products the partner featured, shown first.

Example

A shopper clicks the sleep set deal on Rakuten. They land on "Rakuten's picks from your brand", with that sleep set at the top and the partner's offer in one line.

02

Offer continuity from click to checkout

Illustrative example

The friction

The affiliate promised 20% off. The landing page doesn't mention it, the product page shows full price, and the shopper hunts for a code at checkout. Doubt shows up at the worst moment.

The experience

  • The offer appears on arrival: "Your Rakuten offer: 20% off is active."
  • A slim, persistent offer bar while browsing.
  • Clear eligibility in plain words (what's included, any exclusions, end date).
  • Code applied automatically, or shown with a one-tap copy, and confirmed in cart and checkout.

Example

Banner on landing: "20% off through Rakuten, applied at checkout. Ends Dec 2." Cart line: "Rakuten offer applied: minus $20."

03

Trust that reflects the referral

Illustrative example

The friction

The shopper isn't sure they're in the right place. Is this the official store? Is the deal real? Will it work on this product?

The experience

  • A real relationship cue: "You're here through Rakuten" (only where the partnership exists and the partner approves the use of their name).
  • The reassurance this shopper needs, near the decision: official store, shipping cutoff for the holidays, returns, payment options.
  • Reviews or proof relevant to the product the affiliate featured.

Example

Under the add to cart button: "Official your brand store. You came through Rakuten. Free returns within 30 days."

04

Visible offer pricing near the purchase decision

Illustrative example

The friction

The shopper has to do math. A "20% off" banner at the top and a $100 price at the button leave them unsure what they'll actually pay.

The experience

  • The eligible price shown on product listing cards.
  • The same price next to the product page's add to cart button.
  • The same number in cart and checkout.

Example (illustrative $100 product, valid 20% offer):

Regular price: $100Your price through Rakuten: $80

Why most teams don't just copy these

The four changes are where we start, not the answer. Which version wins depends on the partner, the offer and the product, and it's rarely the one you'd guess. Doing it right means a separate page for every major affiliate, offers that stay in sync from click to checkout, and every change tested against a control so you know it made money instead of hoping it did. Our AI agents find which partners and pages are leaking revenue, and our team builds, tests and scales the winners every week through the season. Your team adds one lightweight snippet. We handle the rest.

There's a quieter cost too. Many testing setups leave duplicate variant pages live on your site, which can hurt how you show up in Google and in AI answers. ClickMint changes the page as it loads, so only the shoppers in a test see the variant. No duplicate URLs, nothing for search engines to trip over.

The same idea works on your other traffic

Affiliate is the clearest case. It isn't the only one.

Every source sends shoppers with a different expectation. The fix is the same: a post-click experience made for where they came from.

The 73% figure above was measured on affiliate traffic only. Other channels are tested separately.

See how we build affiliate funnels →

  • Paid social (Meta, TikTok): match the ad's hook and product on arrival, and give more context before the ask.

  • Search and Shopping: land them on the exact item and price they searched for.

  • Email and SMS: carry the promotion from the message straight into the product page and cart.

  • AI referral: answer the question they came in with, then point to the right product.

How ClickMint works

We build it, test it and keep what wins.

  1. Assess: we review your affiliate partners, offers and current landing paths.

  2. Build: we create separate post-click funnels per traffic source, including partner-specific pages.

  3. Test: every change runs against a control group, so lift is measured, not guessed.

  4. Scale: winners roll out; we keep testing through the season.

$3,500/mo for unlimited experiments, with a 14-day free trial.

Proof

+73%

+73% revenue per user on affiliate traffic vs control, last 90 days

Affiliate traffic only, measured against a control group across ClickMint's portfolio.

+93% +65%

+93% revenue per user and +65% conversion vs control, across our client experiments

80+

brands

$315M+

analyzed

BFCM traffic is coming either way. Make it count.

We'll look at your affiliate traffic and show you where it's leaking, and which of these four changes to make first.

Get a free BFCM funnel assessment
Or start a 14-day free trial
Nov 27Black Friday

Changes booked by Fri Nov 13 can be live before Black Friday.

FAQ

You can try. Most teams launch one or two pages, never test them against a control, and can't tell whether anything worked. We run the whole program across all your partners, and you only keep what's proven. And we do it without leaving duplicate pages on your site that can hurt your search visibility.

Usually no. We use the tracking and offers you already have. We'll ask for partner approval before using any partner's name on a page.

We'll prioritize the changes that can go live fastest, starting with your top partners.

No. Commission terms stay the same. The goal is more revenue from the clicks you already pay for.

No. It's an illustration using a hypothetical $50,000 program. Your results depend on your traffic, offers and products.

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