Newsletter Sponsorship Rate Calculator
For publishers setting rates and buyers evaluating them. Subscribers, open rate, and CPM produce a price; a price produces the CPM you are really paying.
Price per placement
–
Subscribers × open rate × CPM ÷ 1,000
- Send total
- –
- All placements
- CPM on list
- –
- Price per 1,000 subscribers
- Expected opens
- –
- Subscribers × open rate
- Expected clicks
- –
- Needs click rate
- Effective CPC
- –
- Needs click rate
- Cost per open
- –
- Price ÷ expected opens
How newsletter sponsorships get priced
Sell on opens, not on list size. The honest unit of a newsletter sponsorship is an opened email, because that is the only moment the sponsor's message is in front of a reader. Subscribers times open rate gives expected opens; expected opens times a CPM gives a price. A 25,000-subscriber list with a 42 percent open rate delivers about 10,500 opens per send, and at a $50 CPM that placement is worth around $525. The same arithmetic, run backwards, turns any quote into the CPM a buyer is really paying.
For publishers, this is the calculator behind the media kit. Behind the CMO prices its own placements this way: the rate is a function of engaged readers, not raw subscribers, and it moves as the list and the open rate move. Typical B2B newsletter CPMs are quoted across a wide range, from roughly $30 for broad audiences to well over $100 for niche executive readers who cannot be reached cheaply anywhere else. Those are rough figures that vary a great deal by audience, format, and exclusivity, not a rate card.
For sponsors, the effective CPM is the starting point and the effective cost per click is the finish line. Ask the publisher for the click rate previous sponsors saw, enter it, and compare the resulting CPC with what the same audience costs on LinkedIn or through paid search. A high CPM on a newsletter that a decision-maker opens on purpose often produces a cheaper qualified click than a low CPM on a feed they scroll past.
Formulas
- Expected opens
- = Subscribers × Open rate
- Price per placement
- = Expected opens × CPM ÷ 1,000
- Send total
- = Price per placement × Placements
- Effective CPM on opens
- = Price ÷ Expected opens × 1,000
- Effective CPM on list
- = Price ÷ Subscribers × 1,000
- Expected clicks
- = Subscribers × Click rate
- Effective CPC
- = Price ÷ Expected clicks
Frequently asked questions
Should newsletter sponsorships be priced on subscribers or on opens?
On opens. A subscriber who never opens is not an impression, and a buyer who pays per subscriber is paying for the dead weight on the list. Pricing on expected opens (subscribers times open rate) puts a small, engaged list on equal footing with a large, tired one, and it gives both sides a number that can be checked against the send report afterwards. Publishers with strong engagement should insist on it; it is the argument for their rate.
What is a typical CPM for a B2B newsletter sponsorship?
It varies widely. Broad B2B newsletters are often quoted somewhere around $30 to $60 per thousand opens, and niche executive audiences can command well over $100 because the readers are hard to reach any other way. Those are rough, widely varying figures, not a market rate. The useful comparison is against the CPM of the paid channels that reach the same people: if LinkedIn costs you $80 per thousand impressions of a scrolling feed, a $90 CPM on a newsletter that a CMO reads on purpose is not expensive.
How do I evaluate a sponsorship quote I have been sent?
Switch to Evaluate a quote, enter the price and the audience figures from the media kit, and read the effective CPM on opens. Then ask the publisher three things: whether the open rate is unique opens, how much of the list is on Apple Mail (which inflates opens), and what click rate past sponsors saw. If they can give you a click rate, the effective cost per click is the number to compare against your other channels. If they cannot, price the risk in.
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