Capterra and G2 for B2B SaaS
Often, for a product in an established category. Capterra and G2 reach people who are already comparing software, which puts them close to a purchase. The value depends on the profile. A listing with few recent reviews gives a paid visitor little to read, so reviews come first and advertising second. Any spend should be tested with a capped budget and judged on cost per sales-qualified lead (SQL).
Products in an established software category, with recent customer reviews to show.
The buyer is on a category or comparison page with a shortlist in mind.
No sourced B2B SaaS benchmark was found. Set the test budget from the cost per SQL to beat.
Paying for placement on a profile with few or old reviews, which visitors came to read.
Are Capterra and G2 worth paying for in B2B SaaS?
They are worth a test once the main channels are covered and the profile is ready. The table shows where review sites sit beside two other small channels, ranked by how close the audience is to buying.
| Channel | Who it reaches | How close to buying | Best first test |
|---|---|---|---|
| Software review sites | People comparing products in a category | Close | A complete profile, recent reviews, then paid placement in the category |
| Podcast and newsletter sponsorships | A niche professional audience that trusts the host or editor | Far | One or two sponsorships with a single, trackable offer |
| X | People following a topic or the accounts that discuss it | Far | A small campaign promoting content to a tightly defined topic |
The order reflects intent. A visitor on a category page of a review site has a shortlist in mind. A podcast listener is driving to work.
A smaller channel should be tested only after search and retargeting are covered and measured. More search coverage is the nearer source of qualified leads. That order of work is on the budget and channel mix page.
What can a vendor buy on G2 and Capterra?
Several kinds of product, of which only one is an ad. G2's page for sellers lists these four among them.
| G2 product | G2's description |
|---|---|
| Profiles | "Claim your page, share your story, and connect with buyers" |
| Reviews | "Build your reputation with verified customer voice" |
| Advertising | "Put your brand in front of buyers on G2 category and competitor pages" |
| Buyer Intent | "Find and win the buyers who are active on G2 right now" |
Capterra's vendor page describes a similar set: a customized listing, verified reviews, and a way to "connect with businesses actively searching for software."
This page does not give bid prices, minimum spends or placement rules for either site. Those details could not be read on the vendors' official pages, so they are left out.
Why do reviews come before paid placement?
Because the visitor is there to read reviews. A profile with few or old ones gives paid traffic little reason to act, however prominent the placement.
The working order has three steps.
- Complete the profile. Screenshots, pricing information and a clear description of who the product is for.
- Collect recent reviews. Ask current customers, and keep asking, so the newest reviews are not a year old.
- Then pay for placement. Start with the category the product is strongest in.
Review sites hold the same position in a buying process as a comparison search on Google Ads. The difference is that the page the buyer lands on belongs to the review site, and it shows competitors beside the product.
What is buyer intent data, and when is it worth more than an ad?
It is a list of companies that have been looking at a category or at competitors on the review site. It does not show an ad. It tells the vendor who is researching, so sales and other ad channels can act on it.
For an account-based program that can be worth more than the placement. A company on the list can be added to a LinkedIn Ads audience, passed to sales, or given a higher bid in search.
Two cautions apply. The data identifies a company, not the person who was reading. And it is only useful to a team that will act on it within days, because a company that was comparing tools last month may have chosen one.
How should a review-site test be run?
With a fixed budget, a fixed end date and a cost per SQL to beat. The sum is the same for every new channel.
Test budget = expected cost per SQL × number of SQLs needed to judge
A working minimum is about ten SQLs. At an expected $1,500 each, that is $15,000 over the test period. The $1,500 is an invented example. For reference, the published 2026 median on Google Ads is $800 to $2,500 per SQL, from SaaS Google Ads Benchmarks 2026 (GrowthSpree).
Four rules keep the test fair.
- One new channel at a time. Two at once cannot be told apart.
- A fixed budget and end date. Both set before the first dollar is spent.
- Tracking in place first. Review-site leads tagged as their own source in the CRM.
- The same offer as a proven channel, where possible, so the channel is the only thing that changed.
What signal says stop, and what says continue?
Stop on any of four signals, checked at the end date and not before.
| Signal | What it means |
|---|---|
| Cost per SQL well above the target after the full test | The channel does not pay at this price |
| Leads arrive and sales rejects most of them | The audience is wrong, however cheap the leads |
| The budget cannot be spent on a relevant audience | The channel is too small for this market |
| Nothing can be measured at all | The test was not set up to answer the question |
The second signal matters most with cheap leads. A channel that looks excellent on cost per lead can be the worst in the account once sales has worked the leads. In The 2026 B2B SaaS Google Ads Waste Report (GrowthSpree, June 2026), an audit of 104 accounts, 78% of form fills never became an SQL.
Continue when cost per SQL is at or below the level of existing channels, with room to spend more. Expand in steps and watch the cost of each added SQL, because a small channel runs out of well-matched audience quickly.
What other small channels are worth a test?
Two, after review sites: sponsorships in specialist media, and X where the buyers are visibly active.
Podcast and newsletter sponsorships offer a small, specific audience and the credibility of whoever speaks to it. They suit a specialist buyer, such as an engineer or a security lead, who follows a handful of shows closely. Measurement is the weakness. A listener cannot click an audio ad, so results show up in a dedicated web address, a "how did you hear about us?" field, and a rise in brand searches.
X reaches people by the topics they follow, not by job title or employer. It can work where buyers are known to be active there, such as developers and founders. Engagement is not intent. In The Paid Ads Pipeline Disconnect in B2B SaaS (GrowthSpree, June 2026), click-through rate on LinkedIn boosted posts had a correlation with pipeline of -0.02. That study did not cover X. It is still a reason to doubt feed engagement as a buying signal there.
Frequently asked questions
Should a B2B SaaS company start with G2 or Capterra?
Start with the one where the category already has traffic and where competitors have active profiles. Search each site for the category and compare how many products and recent reviews appear. A site where the category page is thin has few buyers to reach, whatever the placement costs.
Do podcast ads work for B2B SaaS?
Podcast ads can build recognition in a specialist audience, and they are hard to measure. Listeners cannot click, so results show up as brand searches and as answers in a "how did you hear about us?" field. They suit companies that already capture existing demand well.
Are X ads worth it for B2B SaaS?
Only where the buyers are clearly active there, such as developers and founders. X targets by topic and following, not by job or company, so the role of the person reached cannot be confirmed. It is better used to distribute content than to collect leads.
How long should a new channel test run?
Long enough for leads to be qualified by sales, which in B2B means at least a quarter. Set the end date before starting and judge the result then. Checking weekly and stopping early usually ends a test on cost per lead, which says little about pipeline.
How many new channels should be tested at once?
One. Each new channel splits the budget and the attention of whoever runs it. Testing one at a time gives a clean answer and keeps the cost of a failed test small. Run the next test only after the first has reached its end date.
Figures on this page come from published studies and platform documentation. Where the numbers come from
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