For B2B SaaS teams, the organic-versus-paid argument usually stalls in the same place: one channel has a price and the other doesn't. We analyzed LinkedIn posts, and the most precise number in the whole exercise wasn't anywhere in our own data set. It was sitting in Campaign Manager, where a paid impression carries a price to four decimal places.
Personal profiles in that set averaged impressions per post. Company pages averaged 1,386. Not one marketing team we spoke to could say what that gap was worth in dollars. That's why paid keeps winning budget it hasn't earned on performance: it wins on reporting clarity.
Better organic dashboards won't fix that. The number that fixes it already lives in your paid ads analytics (your own account-level CPM, which prices a thousand impressions in dollars your CFO has already approved).
TLDR:
- The most reusable output of paid ads analytics is your account-level CPM, which prices a thousand impressions in dollars
- Applying that CPM to organic impressions produces earned media value (EMV), a paid-equivalent dollar figure for reach you got for free
- At a CPM, one founder post averaging impressions is worth in paid-equivalent media value against for a company page post
- The method breaks in two places: organic impressions include your existing followers, and impressions outside your ICP shouldn't be priced at full rate
- Ordinal calculates EMV per post using a custom CPM per channel, so the figure comes out of your own numbers rather than an industry average
What Paid Ads Analytics Are Good For (Beyond Campaign Optimization)
Paid ads analytics is the set of cost, delivery, and conversion metrics a platform reports back on money you spent: CPM, CPC, CTR, frequency, cost per lead, and ROAS. Every one of those is exact, auditable, and defensible in a budget meeting. That precision is the real product.
The glossary takes one pass. CTR is clicks divided by impressions. CPC is what a click cost. CPL is what a form fill cost. Frequency is how many times one person saw the ad, and ROAS is revenue divided by spend.
Benchmarks exist for all of them. Average search CPC sits at $5.42 across 13,474 U.S. campaigns spanning 23 industries from April 2025 to March 2026 (average CPC data, Pace Ads, 2026), and there's a median Google Ads ROAS of 3.52 against 2.21 for Facebook, with average search CTR at 6.66% (median ROAS benchmarks, DesignRush, 2026).
The optimization half of that dashboard is being automated away while the cost half stays exact. Performance Max adoption rose from 60% to 71% of advertisers in a single year (Performance Max adoption, Hooked Marketing, 2026), which means the channel-level levers marketers used to pull are increasingly inside a black box.
So the durable thing your ads account produces is a price list.
Pull Your Own CPM From Campaign Manager
Open Campaign Manager. Set the date range to the trailing 90 days, look at the account level rather than a single campaign, and write down the CPM.
That's the number. Ninety seconds of work, and it's worth more to your organic reporting than anything else on that screen.
Three details matter when you pull it:
- Exclude retargeting campaigns. Retargeting CPMs are inflated by tiny audiences and they'll overprice your organic reach in a way a finance partner can spot.
- Use a 90-day window. One webinar push can distort a 30-day CPM badly.
- Refresh it quarterly and date-stamp it on the slide. CPMs drift, and a stale multiplier is the fastest way to lose an argument you were winning.
Your own number beats a published average because the published spread is too wide to defend. That same DesignRush review puts average search CTR at 6.66% while Arts and Entertainment hits 13.10%, roughly a 2x range inside a single metric.
Walk into planning with an industry CPM and the first question is "whose industry?" Walk in with the CPM your company paid last quarter, in the platform your CEO signed the invoice for, and there's nothing to argue with. One unimpeachable input beats five plausible ones, which is the same logic behind any workable metric-to-outcome framework.
The Shadow-CPM Calculation, Run on a Real Founder Post
Earned media value is what your organic impressions would have cost to buy at your own paid CPM. The formula is organic impressions divided by 1,000, multiplied by your CPM. No attribution model, no multi-touch weighting, and no assumptions about intent.
Say your trailing-90 LinkedIn CPM comes out at. Run it against the two averages from our -post analysis and the per-post numbers separate fast.
A founder post at impressions prices at .60. The same content on the company page at 1,386 impressions prices at .44. A founder posting three times a week hits roughly 156 posts a year, which is 1,445,340 impressions and $57,813 in paid-equivalent media value from one person's profile. The company page running the identical cadence produces $8,649.
Now set those against the cost-per-lead figures from the same analysis, where B2B SaaS paid CPL averages $310 and organic blended CPL averages $164.
A team that reports the $310 and stays silent on the $57,813 is under-reporting the channel that performs better. That silence is a reporting choice, not a data limitation.
Where the Number Is Honest and Where It's Generous
EMV is a pricing proxy, so say so out loud before anyone else does. Paid impressions are bought against a targeted audience. Organic impressions include your existing followers, your own employees, and everyone who already knows the company. That inflates the paid-equivalent figure, because a chunk of the reach wasn't incremental.
The correction is a haircut. Discount organic impressions by 30% to 40% to strip out the follower and employee base, show the discounted figure as the headline, and footnote the gross number. A CFO who sees you volunteering the discount stops auditing the method and starts using it.
Fifty Impressions on Target Accounts Beat Five Hundred Outside It
This is the failure point a flat CPM hides completely, and the one that matters most in B2B. Fifty engagements from decision-makers at named target accounts is worth more than five hundred from people who will never buy. A CPM multiplier treats those impressions as identical, because ad platforms sell attention by the thousand.
Paid at least lets you buy against a job title. Organic reach lands wherever the algorithm sends it, which for a founder with a mixed network means a real share of impressions goes to recruiters, competitors, and the general LinkedIn commentariat. Pricing all of it at CPM is the version of this method that deserves the skepticism it gets.
So weight it. Pull the list of people who liked and commented on last quarter's posts, match it against your target account list, and apply your full CPM only to the share of engagement that came from inside the ICP.
If 22% of engagers work at target accounts, you have a defensible ICP-weighted EMV and, more usefully, a named list of warm accounts. That requires prospect-level analytics rather than an impressions chart, because the mechanism is identity data.
Run this once and the report changes character. It stops being a case for organic and becomes a targeting instruction: post more of whatever pulled buyers at accounts you care about, less of whatever pulled applause.
Building the Report Your CEO Will Accept
One slide. Five lines, in this order.
- Your account-level CPM, with the date range it came from.
- Total organic impressions last quarter, split by personal profiles and company page.
- Paid-equivalent media value, discounted 30% for existing followers, with the gross figure footnoted.
- Paid CPL against organic blended CPL for the same period.
- The share of engagers who work at target accounts, plus three named accounts as proof.
UTM and CRM hygiene sit underneath all of this, and each takes one sentence. Tag every link with a consistent source and campaign convention so organic traffic doesn't get filed as direct. Pass the engager list into your CRM so sales can see social touches on an account timeline instead of taking your word for it.
Ordinal calculates earned media value per post using a custom CPM you set per channel, so the multiplier is your number rather than an industry average. Analytics filter by content label, format, and campaign to show which categories produced the reach. Leads data on the Enterprise plan surfaces the individual LinkedIn users who liked or commented, which is the input for the ICP weighting above.
Run the Ninety-Second Version
Before your next planning cycle, pull the trailing-90 account CPM out of Campaign Manager, multiply last quarter's organic impressions by it, cut the result by a third, and put that figure on the same page as your paid CPL.
You'll either discover the organic program has been quietly out-earning the ads budget, or you'll discover it hasn't. Both answers are worth more than the blank cell that's there now.
Frequently Asked Questions
What Are Paid Ads Analytics?
Paid ads analytics are the performance metrics platforms like LinkedIn Campaign Manager or Google Ads generate for money spent on advertising: cost per click, cost per lead, click-through rate, and return on ad spend. These numbers are precise to the decimal because every dollar and every impression is tracked against a transaction. That's exactly why they're worth pulling into your organic reporting too.
Which Paid Ads Metrics Matter Most for B2B SaaS?
Cost per lead and CPM matter more than click-through rate for most B2B SaaS teams, because leads and reach are what get reported upward. CPL tells you what you're paying per conversion. CPM tells you what an impression costs, which is the number you'll reuse to price organic reach.
What's a Good ROAS or CTR Benchmark in 2026?
Median ROAS on Google sits around 3.52x compared to 2.21x on Facebook, and average search CTR runs 6.66% across industries as of DesignRush's 2026 benchmarks. Treat these as a sanity check. Your account-level CPM is more useful than any published benchmark once you're pricing organic reach.
How Do I Calculate the Dollar Value of Organic Social Reach?
Take your account-level CPM from Campaign Manager, divide by 1,000, then multiply by the impressions an organic post received. A personal profile post averaging impressions at a CPM works out to roughly in paid-equivalent value, based on our analysis of LinkedIn posts.
What Is Earned Media Value and How Is It Different From ROAS?
Earned media value (EMV) is the estimated cost of buying the same reach an organic post generated for free, calculated using your own CPM. ROAS measures return against actual ad spend, so it only exists for paid campaigns. EMV gives organic content a comparable dollar figure, which is the gap most reporting decks leave blank.
Is Organic LinkedIn Cheaper per Lead Than LinkedIn Ads?
Yes, our analysis found organic LinkedIn content running at roughly $164 per lead for B2B SaaS teams, compared to $310 per lead through paid LinkedIn Ads. Personal profiles also averaged impressions per post against 1,386 for company pages, so the cheaper channel is also the higher-reach one.
Can I Use Paid Ads Analytics to Set My Organic Content Budget?
Yes, by working backward from paid-equivalent value. If your organic posts generate EMV that outpaces what you'd spend to buy the same reach, that's your argument for moving budget from ads into headcount or tooling that supports more organic posting.
Why Does Performance Max Make Paid Ads Analytics Harder to Read?
Performance Max adoption grew from 60% to 71% of advertisers in one year according to Hooked Marketing's 2026 report, and it pools spend across channels without campaign-level breakdowns. The optimization data teams used to lean on is thinning out even as cost data like CPM stays precise. That's another reason to treat CPM as the durable number worth reusing.




