Someone will tell you the average conversion rate is about 2 to 3 percent. They will be roughly right about e-commerce and roughly right about B2B lead generation, and the coincidence is the problem. The two numbers describe events that have almost nothing in common.
In e-commerce a conversion is a purchase. Money moves. The buyer is usually one person, the decision takes minutes, and the whole thing happens in a single session more often than not. In B2B lead generation a conversion is a form submission. Nobody has bought anything. A person who may or may not have budget has agreed to a conversation, and the actual revenue event sits somewhere between three and eighteen months downstream.
So a 3 percent B2C rate and a 3 percent B2B rate are not comparable performance. One is a completed transaction and the other is a request to be sold to.
The committee problem
Gartner's B2B buying research is the piece worth internalising. Its widely cited finding is that a typical complex B2B purchase involves six to ten decision makers, each arriving with their own independently gathered information. Gartner has also reported that buyers spend only around 17 percent of the total purchase journey meeting suppliers, and that when several vendors are in play, any single vendor may get something closer to 5 or 6 percent of the buyer's total time.
- Independent research online27%
- Meeting the buying group internally22%
- Independent research offline18%
- Meeting suppliers (all of them)17%
- Other16%
Gartner B2B buying journey research, widely republished. The supplier share is split across every vendor under consideration, so one vendor's share of attention is a fraction of that 17 percent.
Where a B2B buyer's time goes. Independent research online: 27%. Meeting the buying group internally: 22%. Independent research offline: 18%. Meeting suppliers (all of them): 17%. Other: 16%.
Read that against your funnel and something uncomfortable follows. Most of the decision happens where your analytics cannot see it. The form fill you are optimising is a small, late, visible fragment of a mostly invisible process, and treating it as the finish line is how B2B teams end up celebrating a lead volume increase while revenue stays flat.
What each side should watch
The practical split is about what the number is for. B2C conversion rate is a genuine performance metric because the conversion is the outcome. B2B conversion rate is an input metric, and the outcome lives in a CRM your website never talks to.
- minutesB2C: typical time from landing to purchase
- 3–18 monthsB2B: typical time from first touch to closed revenue
- 1B2C: people involved in the decision
- 6–10B2B: decision makers in a complex purchase, per Gartner
- purchaseB2C: what the conversion event is
- a conversationB2B: what the conversion event is
Ranges reflect the spread across commonly published benchmark sets rather than one authoritative source. Treat them as orders of magnitude.
For B2C the useful discipline is the one this site keeps returning to. Put the cost on each funnel step, find the step where spend dies, fix that. The feedback loop is short enough that you can act on it inside a week.
For B2B the useful discipline is different. Lead volume is the easiest number to move and the least worth moving. Cutting a form from nine fields to four will raise submissions and can lower qualified pipeline at the same time, because form friction was doing some of your qualification for free. If you optimise B2B conversion without a path back from closed revenue to the campaign that started it, you are optimising a proxy and hoping.
The attribution window nobody adjusts
Here is the failure that follows from all of the above. Meta's default attribution windows are 7 days after a click and 1 day after a view. Google Ads defaults run up to 30 days. Those windows were designed around consumer purchase behaviour and they are perfectly reasonable for it.
Now put a six month B2B sales cycle through a 30 day window. The click that genuinely started the deal falls outside the window before the deal is even qualified, so the platform reports nothing, and the revenue eventually gets credited to whatever touched the buyer last. Usually that is branded search or direct, which is to say the channel the buyer used to find you again after some earlier channel taught them your name.
Longest common platform attribution window (30 days)
Platform windows from Meta and Google Ads documentation. Cycle lengths are illustrative of commonly reported B2B ranges and vary enormously by deal size.
Attribution window against B2B sales cycle. Meta view: 1d. Meta click: 7d. Google Ads: 30d. Short B2B cycle: 90d. Typical B2B cycle: 180d.
This is the mechanism behind the most common B2B measurement complaint, which is that paid social looks worthless and branded search looks miraculous. Branded search is frequently harvesting demand that something else created. The platforms are not lying. They are answering a question about the last 30 days, and you are asking a question about the last six months.
Three things help, none of them free. Keep first-touch data yourself rather than relying on the platforms to remember, because your own store has no window. Pass a stable identifier into your CRM at form submission so closed revenue can be joined back. And accept that some of it stays unknowable, which is a better position than a confident number that is wrong.
Related reading on this site: attribution windows and reporting dates are unpacked further in why your ad platform and your analytics disagree, and the arithmetic of pricing each funnel step is in put a price on every funnel step.