A B2B paid search agency is only working if you're judging it on your sales cycle's timeline, not the 30-day MQL and CPL report most agencies default to. Match the evaluation window to how long your deals actually take to close, and the vanity metrics stop hiding the real answer.
A B2B paid search agency is only working if you're judging it on your sales cycle's timeline, not the 30-day MQL and CPL report most agencies default to. Match the evaluation window to how long your deals actually take to close, and the vanity metrics stop hiding the real answer.
Five structural differences separate a B2B paid search agency from a standard e-commerce or lead-gen PPC engagement: longer sales cycles, pipeline and SQL data as the real KPI instead of transactions, low-search-volume high-CPC keywords, multi-stakeholder buying committees, and overlap with account-based marketing (ABM) targeting. Skip any one of these five in your evaluation, and you're grading the wrong account.
What does a B2B agency do? A B2B paid search agency builds keyword strategy around low-volume, high-intent terms rather than broad transactional ones, aligns landing pages and offers to a longer nurture path instead of an immediate purchase, sets up CRM and offline-conversion tracking so ad spend connects to actual pipeline, and coordinates with sales on what counts as a qualified lead. That work is table stakes, though. Doing it correctly is not, by itself, evidence the agency is generating revenue; it just confirms they're running a B2B-appropriate program in the first place.
A general or e-commerce PPC agency optimizes for immediate conversions, metrics that arrive fast and report easily. A B2B engagement produces almost none of that speed. If your agency's setup and reporting still look like an e-commerce account (conversion volume front and center, sales cycle treated as an afterthought), that's the first thing to check before you even get to timing and metrics. For the full structural breakdown of channels, account structure, and keyword strategy, our B2B PPC guide covers the setup layer this article assumes you already have in place.
Confirm your agency is even doing B2B-appropriate work, and the next question is timing. In a B2B account, the metrics that move fastest, impressions, clicks, MQLs, are the least correlated with whether the agency is actually generating revenue, because the real signal (SQLs, pipeline, closed-won) lags behind by however long your sales cycle runs. Reading a 30-day report as a verdict on a 90-day sales cycle is judging the agency on data that hasn't matured yet.
The Pipeline-Lag Decision Grid below anchors this to real benchmarks. Ebsta and Pavilion analyzed 3.2 million B2B opportunities across 364 companies to find the "golden period", the sales-cycle window where win rates peak, by deal size (Ebsta x Pavilion, 2023 B2B Sales Benchmark Report):
| Sales-cycle length (deal size) | Earliest trustworthy evaluation point | Metric to trust | Metric to treat as early noise |
|---|---|---|---|
| 31-60 days (small deals) | Around day 60 | SQL rate, pipeline value generated | MQL count, CTR |
| 61-90 days (medium deals) | Around day 90 | Cost per opportunity | Raw CPL |
| 150-180 days (larger/enterprise deals) | Around day 180 | Closed-won attribution rate | Impression share, early MQL volume |
Pipeline-Lag Decision Grid. Sales-cycle bands and the golden-period concept come from the Ebsta x Pavilion 2023 B2B Sales Benchmark Report (3.2 million opportunities, 364 companies).
The decay past that window is steep, not gradual: win rates run 165% higher for opportunities that close inside the golden period, and closing likelihood drops 60% for every extra month a deal stays open past it, then 90% two months past (Ebsta x Pavilion, 2023). An opportunity open longer than twice your average cycle has only a 3% chance of closing at all. Judge that account against a fixed 30-day window, and you're measuring the wrong clock.
drop in closing likelihood per extra month past the golden period
chance of closing once a deal is open past 2x your average cycle
What is the rule of 7 in B2B? The rule of seven holds that it takes an average of seven interactions with a brand before a buyer converts (B2B Marketing, Jonathan Hedger, 2019, updated 2024). In B2B specifically, multiple decision-makers and a longer buying process make those repeat touches matter even more than in consumer marketing. If a buyer needs several touches spread across weeks or months before converting, judging an agency on first-touch or last-click numbers inside 30 days is judging the wrong thing entirely.
Aegis's flag points at the deeper issue running through every B2B report: some numbers look good almost by default and tell you almost nothing about revenue impact, while others are harder to move but are the ones that actually matter.
Cost per opportunity and closed-won attribution rate are harder to fake, since both require CRM and sales data confirming a lead became real pipeline. If your monthly report can't connect a click to an opportunity in your CRM, you're not looking at a signal metric no matter how good it reads on the surface.
How much does a B2B agency typically cost? B2B paid search agencies typically price on a flat monthly retainer, a percentage of managed ad spend, or a project or performance basis, and the right model depends on your spend level and pipeline predictability. Exact current rates by spend tier are covered in our agency pricing breakdown, not duplicated here. Fee models and hidden costs get a deeper treatment in our PPC management cost guide.
A fair price is meaningless if you're evaluating results on the wrong timeline. Cost and lag are separate questions, and it's easy to conflate them: an agency can be fairly priced and still get judged unfairly on a 30-day report, or overpriced and still clear the bar on a properly timed one. Sort the timing question first.
Sort timing and cost separately, and a different question tends to surface: is an agency even the right model here? For a B2B motion, the choice between agency, in-house, and software comes down mostly to search volume, internal marketing headcount, and sales-cycle length, not brand preference. A low-volume, long-cycle B2B account with a lean team rarely behaves like a high-volume e-commerce account, so the "right" answer here often differs from the general comparison.
In-house makes sense when you already have headcount that can dedicate real, sustained time to the account and enough volume to see meaningful data and iterate. It doesn't make sense for a low-volume account where a part-time owner never sees enough signal to improve anything, a setup that looks like control but functions like neglect.
Software is the third branch, an honest option for teams running lean rather than a universal fix: kampaio, for example, is Google Ads automation built for accounts without a dedicated in-house hire, priced at $99, $199, or $399 tiers versus typical agency retainers. It's one legitimate path for a spend level that doesn't justify a full agency engagement, not a claim that software replaces a good B2B agency. The full agency-vs-in-house-vs-software comparison lives in a dedicated guide; this section stays narrowly B2B.
One anonymous B2B software marketer summed up the underlying anxiety on r/PPC in 2023: "Struggling to generate quality leads B2B software business.. Hey guys, I've been scouring previous posts..." This self-check is built to answer that with a framework instead of a guess. It's not a full audit, just a fast gut-check tied directly to the framework above:
If you scored poorly on most of these, don't jump straight to switching agencies. Run the fuller diagnostic first. Our fire-your-PPC-agency checklist is a different, more detailed next-step framework for readers who conclude the answer is genuinely no.
It builds low-volume, high-intent keyword strategy, aligns offers to a longer nurture path, sets up CRM and offline-conversion tracking, and coordinates with sales on lead definitions. Doing this correctly is table stakes, not proof of performance.
Pricing usually runs as a flat retainer, a percentage of managed spend, or a project/performance model, depending on spend level and pipeline predictability. Current benchmarks by spend tier are in our dedicated pricing guide.
A buyer needs an average of seven interactions with a brand before converting (B2B Marketing, 2019/2024), and multiple B2B decision-makers make that pattern even more pronounced. That's why judging an agency on first-touch numbers inside a short window misreads the real buying process.
This article deliberately doesn't rank or name agencies, since fit depends on ACV, sales cycle, and channel mix, and every ranking currently on Google is written by an agency ranking itself. The real answer to "is my agency good" is the pipeline-lag grid and self-check above, not a name.
The real success metric (SQL rate, pipeline, closed revenue) lags behind the visible metrics (MQLs, CTR, CPL) by however long your sales cycle runs, so a 30-day report often measures the wrong thing. A general PPC evaluation, built around fast transaction data, doesn't account for that lag.
It depends mostly on ad spend and lead volume, internal marketing headcount, and sales-cycle length; a low-volume, long-cycle account with no dedicated headcount usually fits software or an agency better than a part-time in-house hire. The full comparison lives in our agency-vs-in-house-vs-software guide.
If your monthly report leads with MQLs and CTR and you can't answer your SQL rate off the top of your head, fix that before your next renewal conversation, not after. Kampaio is one option for B2B teams whose spend or headcount doesn't justify a full agency retainer, not the only right answer, but a fast way to see pipeline-relevant numbers instead of vanity ones without hiring an agency to get there.
Aegis flags the reports that lead with MQL count while pipeline value sits flat, so you walk into the renewal with the right number.
See what Kampaio reports onResults may vary. This article is informational and does not constitute professional advice. Benchmark figures are cited to their original sources and were verified on August 13, 2026; your own sales cycle and win rates will differ, so use the grid as a starting frame, not a guarantee.