Gated vs ungated content: What the tests show and a decision rule for each asset

Gate only the few original assets worth a sales conversation, such as research reports and benchmarks, and leave answer-shaped content like definitions, frequently asked questions and how-to posts open. Foundry puts typical conversion on gated landing pages at 2 to 3%, while NetLine counted 8 million first-party content registrations in 2025, up 27% year over year. A five-criterion scorecard and a pipeline formula on this page decide each asset.

Gated vs ungated content in short, with the key figures

Gate the few original assets that justify a sales conversation. Leave everything answer-shaped open: definitions, FAQs, examples and how-to posts. The per-asset rule earlier on this page decides which side of that line each asset falls on. The figures below show why both sides still carry weight.

The headline figures

Sources for each row: NetLine's registration count and growth, Demand Gen Report's Content Preferences survey, the LinkedIn-sponsored survey and the Gartner projection.

How to read the two willingness numbers

The 83% and the 25% are not a before-and-after pair. They come from different surveys that asked different questions. One asked about high-value gated content and counted "at least somewhat likely" as a yes, a soft threshold. The other asked about content in general.

In our reading, the pair is consistent with the rule above: buyers accept a form when the asset is worth it and skip it when it is not. The pair does not prove a conversion rate for your assets. Do not put either number into a pipeline model as a form completion rate.

The registration count says demand for gated assets kept growing through 2025. It is a volume figure from one network, so treat it as a signal that the format still works, not as a benchmark for your landing pages.

Forrester's Robert Rose made the same point in a 2024 analysis: "Gated content can produce leads, opportunities, and sales." The condition is the asset, not the form.

For download volume after an asset goes open, use your own baseline from the gating test described above rather than an industry multiple.

A one-line decision log

Record each gating call so the next review starts from evidence. Keep the log next to your marketing qualified lead (MQL) definitions.

Asset | Format | Gated or open | Score on the per-asset rule | Form fills per 1,000 visits | Opportunities in 90 days | Review date | Decision

Review each gated row every quarter. An asset that produces form fills but no opportunities is a candidate to open. For how this sits within the wider split between capturing contacts and creating demand, see demand gen vs lead gen.

What gated, ungated and partially gated content mean

The three models differ in one thing: what a reader must give before reading. Everything else (reach, lead volume, stage fit) follows from that exchange.

Gated content

Gated content sits behind a form. Readers fill out a form with information such as their name, email address and company to get access. Most teams also ask for job title. Foundry notes that gating lets you control the fields, so if you want more job titles from mid market SaaS marketers, you add that field. The usual formats are long resources such as ebooks, webinars, whitepapers.

The cost is friction. Foundry puts typical conversion for landing pages with gated forms at 2 to 3%.

Ungated content

Ungated content opens with a click. It often includes blog posts, company news and case studies. Clarity DX's guide states that for purely promotional content, the answer is that it should not be gated.

The trade is lead data. With ungated assets, you won’t collect emails, job titles, or firmographic data from the interaction itself. Foundry describes account-level scoring of ungated engagement through first-party intent data and IP address intelligence, where an account that reaches a scoring threshold enters campaigns like a gated lead.

Partially gated content

Partially gated content shows part of the asset in the open and gates the rest. Publishers call this lead-in sampling: users can see a portion of an article (like the intro or first few paragraphs) before the wall. In business-to-business marketing, that usually means an open executive summary or first chapter, with the full report behind a form.

One rule applies to the open portion. Search guidance says: Do not show different content to Googlebot than to users. Doing so can count as cloaking.

Side by side

Clarity DX ties ungated content to the early stage, calling it best for a prospect’s research phase. The cost row is ours: no tested figures sit behind it, so price it from your own stack.

What the numbers show on form conversion, drop-off and lead quality

The figures in the first section pull in two directions. Conversion rates tell you how many visitors submit a form. Drop-off and fake-data rates tell you how many of those submissions a sales team can work. A cost per lead that counts only the first pair overstates what the gate delivers.

Drop-off is not a fixed property of gating. Foundry's guide says "The longer your form, the more likely users will bounce." The same guide notes that people get around gates "using fake names or burner emails". SlashExperts adds that the effectiveness of traditional gating has dropped significantly since 2020.

The formula we use

usable leads         = visits × form conversion rate × (1 − invalid submission rate)
cost per usable lead = (media cost + production cost) / usable leads

The invalid submission rate is the share of form fills that fail email validation or that sales rejects as fake or unreachable. Measure it from your own CRM. Do not borrow a survey figure for it.

A worked example with assumed inputs

The inputs below are illustrative assumptions, not benchmarks. Both assets get the same spend and the same traffic.

Conversion rate has the largest effect. Four times the conversion cuts the cost per usable lead to a quarter.

The invalid rate works quietly. In this example, raising it from 30% to 50% on the standard asset drops usable leads from 70 to 50, so cost per usable lead rises from $142.86 to $200. The reported conversion rate does not move at all. In our reading, that is why the invalid rate needs its own line in pipeline reporting.

Drop-off sits upstream of both. Every field you cut from the form protects the conversion rate. Every field you keep should earn its place in scoring or routing.

Steps to run this on your own assets

1. Pull visits, submissions and spend per asset for one quarter.
2. Match submissions to sales outcomes and count the invalid ones.
3. Calculate cost per usable lead and compare it with the B2B cost per lead benchmarks.
4. For ungated assets, count scored accounts instead of form fills. Foundry's sample table assigns Blog view | 2, Guide download | 5, Webinar sign-up | 10 points; see our lead scoring entry for setting thresholds.
5. Check later-stage rates against the funnel conversion benchmarks before calling either version cheaper.

Does gated content hurt search and AI visibility

A crawler reads what the server sends it. A PDF behind a form is not in that response, so it is not indexed, and in our reading an AI answer engine cannot quote a page it never fetched. Playwire puts the conflict plainly: "Googlebot needs to read your content to index it, but your readers need to authenticate to read it."

The cloaking risk covered earlier shows up the moment you try to fix this by letting the bot through. Google's answer is structured data. Its documentation says the markup "helps Google differentiate paywalled content from the practice of cloaking, which violates spam policies."

The two properties that matter

• isAccessibleForFree is the required property. Google says to "Set the isAccessibleForFree property to false to specify that this section is behind a paywall."
• hasPart is recommended. It points to the gated block with a CSS selector, and Google says to "Only use .class selectors for the cssSelector property."

The rule is not limited to paid subscriptions. Google's steps apply "if users must register for access to any content you want to be indexed". A lead form is a registration wall. Playwire states it directly: "Registration is a restriction."

What happens without the markup

Playwire reported that "After discontinuing Google's "First Click Free" model without implementing proper structured markup, WSJ saw a 44% drop in search traffic." That was a news publisher, not a business-to-business site. We think the lesson carries over to any team that hides a report behind a form and expects the report page to rank.

A template for a gated asset page

Wrap the gated part of the page in a class, then declare it. This assumes the full text is served in the HTML and hidden from anonymous visitors.

<div class="summary">Executive summary, visible to everyone.</div>
<div class="gated">Full report text, shown after the form.</div>

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "Article",
  "headline": "Your report title",
  "isAccessibleForFree": false,
  "hasPart": {
    "@type": "WebPageElement",
    "isAccessibleForFree": false,
    "cssSelector": ".gated"
  }
}
</script>

Checks before you ship

1. Confirm the crawler can reach the page. Google asks that you "make sure Googlebot, and Googlebot-News if applicable, can access your page."
2. Do not block the gated URL in robots.txt. Playwire lists "robots.txt, login requirements, or JavaScript gating without schema" as the setups that trigger the cloaking flag.
3. Run the Rich Results Test and the URL Inspection tool.
4. Decide what AI features may show. "AI Overviews and AI Mode offer a preview of a topic or query based on a variety of sources, including web sources." Google says they follow the same preview controls as Search, so the data-nosnippet attribute keeps a section out of snippets.

If the asset is a file with no indexable page around it, none of this applies. The page that ranks is then the landing page, so put the summary there.

How partial gating works: lead-in previews and metering

Metering: a quota before the form

Metering gives a visitor a set number of open assets before the form appears. Google states that monthly, rather than daily metering provides more flexibility and a safer environment for testing. Its reason is step size: a one-unit change matters less significant at, say, 10 monthly samples than at 3 daily samples.

Google's range is built for news volume. It expects for most daily news publishers, we expect the value to fall between 6 and 10 articles per user per month. A business-to-business resource hub publishes far less, so we would set the meter per asset type, not per page view.

Google also warns that tightening has a search cost. Its experiments found that minor sampling changes could, as user access is restricted, unintentionally impact article ranking in Google Search.

A worked check on gate exposure

Google observed that general user satisfaction starts to degrade significantly when paywalls are shown more than 10% of the time, which generally means that about 3% of the audience has been exposed to the paywall.

Google suggests you analyze the current percentage of search users who land on their paywalls before choosing a number. For finer control, it describes reducing the sample allowance for that audience specifically for heavy users only. In business-to-business terms, that means a returning visitor who has opened several assets sees the form sooner than a first-time visitor.

Lead-in: the opening stays open

Google notes that some publishers show the first few sentences of an article "above the fold" of their paywall after the meter has run out, and calls it good practice. For a report, we think the lead-in should carry one real finding, not a summary of what the report covers.

Here is a page layout that keeps the open portion indexable. It assumes the structured data covered in the search section.

[Page title: asset name, as searched]
[Open block: rendered in page source, never behind a script]
  - Two to four sentence summary with one concrete finding
  - Table of contents for the full asset
  - One full chapter or the first chart with its explanation
[Gate block: class="gated-section"]
  - Form: email, company (add fields only with a reason)
  - Remaining chapters, delivered to the same URL after submit
[Footer: related ungated assets, links to webinar or playbook pages]

Pair a lead-in asset with a follow-up channel, such as a webinar or retargeting for visitors who read the open block and leave.

Which assets are worth gating: a per-asset decision rule

LeadSpot's gating research takes the position to "gate your highest-value assets, keep answer-shaped content open, and hold a high bar for what earns a form." We turn that into one test: gate an asset only when it is worth a meeting. If a reader who finishes it would not plausibly take a sales call, the form costs more than it returns.

Score each asset on five criteria, 0 to 2 points each, before it ships.

ASSET GATING SCORECARD (score each 0, 1 or 2)

1. Originality of data     0 = public info restated | 1 = new angle | 2 = proprietary data
2. Buyer stage             0 = problem education    | 1 = mixed      | 2 = evaluation or vendor shortlist
3. Follow-up capacity      0 = no owner             | 1 = nurture only | 2 = sales follows up within the SLA
4. Search demand (inverse) 0 = high query volume    | 1 = moderate   | 2 = little search demand
5. Answer-shaped value     0 = one answer is the value | 1 = partly | 2 = value is the whole asset

TOTAL (0 to 10)
8 to 10  -> Gate
5 to 7   -> Partial (lead-in preview or metering)
0 to 4   -> Open

Two criteria run inverse to intuition. High search demand lowers the score, because an asset people search for loses reach behind a form. Answer-shaped value scores low when a single answer is the point, since that answer belongs on an open page.

Buyer stage carries weight for a reason. Pulse Recruitment found that gated case studies yielded a 20% higher lead conversion rate than ungated ones, a mid-funnel result. Follow-up capacity is the criterion teams skip. A gated download with no owner is a contact record that goes stale, so tie it to your marketing and sales SLA and your lead scoring model.

LeadSpot lists research reports, benchmark data, tools, templates, webinars as the formats suited to gating. Our partial verdicts on tools and templates are our reading, based on search demand for both. Ebooks need the scorecard most. NetLine's 2025 report, cited by LeadSpot, had eBooks alone driving 53% of demand, so they are often gated without a score.

Worked example

A pipeline benchmark built from your own customer data scores 2 on originality, 2 on stage, 2 on follow-up (sales owns it), 1 on search demand and 2 on answer-shaped value. A guide to calculating customer acquisition cost scores 0, 0, 1, 0 and 0. Total: 1, so publish it open.

Worked example: the pipeline math of ungating an ebook

This is our method, run on illustrative numbers. Every rate below is an assumption chosen to show the arithmetic, not a benchmark. Replace each one with your own data before you take a view.

The assumptions

In this example, both versions start with 1,000 visits to the same ebook page. Suppose each opportunity is worth $40,000 in pipeline.

The math per 1,000 visits

Gated pipeline = visits x form rate x (1 - fake share) x meeting rate x opp rate x opp value
               = 1,000 x 0.20 x 0.75 x 0.04 x 0.50 x 40,000
               = 150 usable leads -> 6 meetings -> 3 opps -> $120,000

Ungated pipeline = (retargeting demos + in-asset demos + self-reported demos) x opp rate x opp value
                 = (1,000 x 0.60 x 0.005) + (1,000 x 0.003) + 2
                 = 3 + 3 + 2 = 8 demo requests -> 4 opps -> $160,000

Break-even gated form rate = ungated pipeline / (visits x (1 - fake share) x meeting rate x opp rate x opp value)
                           = 160,000 / (1,000 x 0.75 x 0.04 x 0.50 x 40,000)
                           = 160,000 / 600,000 = 26.7%

How to read it

In this example, the open ebook wins, and the gated version only catches up if the form converts at 26.7% or better. Shift one input and the answer can flip. In this example, doubling the meeting rate on gated leads to 8% lifts gated pipeline to $240,000.

Three checks keep the comparison honest:

1. Deduplicate self-reported mentions. Count a mention only when that demo request is not already counted as a retargeting or in-asset conversion.
2. Use the same opportunity definition for both arms. If gated meetings convert at a different rate than inbound demo requests, measure each one at the sales qualified lead stage and do not reuse a blended rate.
3. Run a third arm. In one homebuilding campaign, the fully gated landing page saw a 2.08% conversion rate and the page that freed some content reached 3.7%. A partial gate fits into the same formula as the other two arms.

To work backward from a pipeline target to the visits each version needs, enter both sets of rates into the reverse funnel calculator.

How to measure ungated content and run the gating test

A gating test fails when it is measured on clicks alone. Ungated content often shapes a buying decision without leaving a trackable trail, so the plan below pairs traffic data with what buyers tell you.

Why click-based attribution undercounts

Most AI-assisted research never reaches your site. Growth Method cites a Profound analysis finding that only about 18% of ChatGPT conversations trigger a web search at all. The visits that do arrive often look like direct traffic: in a Graphite study with n8n, 90% of AI-driven conversions never clicked a citation link. Omniscient Digital reports a wider spread in its own pipeline, with click-based telemetry putting large language model (LLM) traffic at 5 to 10 percent and self-reported attribution at 50 to 70 percent.

If you ungate an asset and judge it by referral clicks, you will miss a share of its effect. We think that is the most common reason ungating tests get called failures too early.

The test plan

1. Pick one asset. Choose a single gated piece with steady form fills, so you have a baseline. Do not change other assets during the test.
2. Record the baseline. Pull the last full quarter for that asset: form fills, MQLs, opportunities and pipeline sourced or influenced.
3. Set a holdout period. Ungate the asset for a fixed window and keep a comparable asset gated as the control. A holdout compares lift against a control group, the logic behind incrementality testing.
4. Add the question in two places. Put a field on demo forms that asks how the buyer heard about you, and have sales ask it on every first call. These are two of the three standard forms of self-reported attribution, along with a post-purchase survey.
5. Track four lines side by side. Use the sheet below. Traffic sits next to outcomes, never on its own.
6. Read the result at the end of the window. Compare opportunities and pipeline, not form fills.

Week | Asset sessions | Form fills | Demo requests | Opps created | Pipeline ($) | Self-reported mentions (asset, topic or AI tool)
-----|----------------|------------|---------------|--------------|--------------|------------------------------------------------
W1   |                |            |               |              |              |
W2   |                |            |               |              |              |

Keep the form field open text, then code answers weekly into a short list: search, AI assistant, peer referral, podcast or event, social, the asset by name.

Limits to keep in view

Self-reported data has no denominator. It cannot tell you how many people a channel reached who never converted. Dreamdata suggests verifying responses through follow-up questions or secondary sources, which the first sales call does well. For how to weigh the two signals together, see our self-reported attribution playbook and attribution models, and add the four lines to your demand gen dashboard.

What this page does not cover

This page does not cover choosing form or tracking tools, privacy and consent rules for collecting contact data, or cost benchmarks beyond the illustrative examples, whose rates are assumptions rather than benchmarks. Nothing here is legal advice on data collection or financial advice on budgets.