How we 2.8x’d qualified pipeline by integrating paid and organic under one strategist.
9-month engagement (ongoing)·Google Ads + Organic Search + AI search citations
A B2B vertical SaaS payments platform was running paid search through one agency and SEO through another, and the two channels had spent two years cannibalizing each other. The paid agency was bidding on category terms that the SEO content was ranking organically for, the SEO team was writing for keywords the paid team had already proven didn’t qualify, and HubSpot showed both channels claiming credit for the same opportunities. We consolidated both channels under a single strategist, built one shared keyword and intent universe across paid and organic, and rebuilt attribution so HubSpot could finally tell the partner team which channels were actually driving qualified pipeline. Nine months later, qualified pipeline grew 180%, blended cost per qualified opportunity dropped 41%, and the marketing-to-sales handoff stopped being a quarterly argument.
+180%
Qualified pipeline
$6.2K - $10.7K / mo
3.2x
Organic-sourced pipeline
$230K → $740K / mo
2.1x
Paid-sourced pipeline
$390K → $820K / mo
−41%
Cost per qualified opportunity
blended, flat-ish spend
Why this case study matters
Most agencies run a single channel acceptably.
Very few run multiple channels in coordinated concert.
Organic-sourced pipeline grew 3.2x. Paid-sourced pipeline grew 2.1x. Neither channel alone produces the 2.8x blended result. Both channels growing together does. This is what one strategist owning both channels with budget authority to move spend between them actually delivers.
We had a paid agency and an SEO agency for two years and they actively contradicted each other in monthly meetings. SMB Circus put one strategist in charge of both and the channels finally started working together.
What we walked into
The platform was four years old, profitable, serving a vertical (we’ll leave the vertical unnamed in the public version), and well-positioned in its category. The product worked. The go-to-market did not.
Five findings from the first-week audit:
Paid and organic were owned by two different agencies with no shared brief.
The paid agency had Google Ads, the SEO agency had organic. Monthly QBRs were held separately. Quarterly planning sessions happened twice (once with each). Neither agency knew what the other was working on, and the marketing team was acting as a translation layer between them.
Both channels were targeting the same keywords with conflicting strategies.
“[vertical] payments software” was being bid on by paid at $62 per click and was simultaneously the target of a 4,000-word SEO pillar page. The paid landing page promoted a 14-day free trial; the SEO page promoted a demo-call CTA. Buyers searching that term were getting two different brand experiences depending on which result they clicked.
HubSpot attribution was a mess.
Both channels were taking credit for the same opportunities. First-touch attribution credited SEO; last-touch credited paid; the partner team was getting two different “channel ROI” reports per month and trusted neither. Real channel contribution was unknowable from the data as it existed.
The SEO content footprint had no commercial intent layer.
The organic content was 80% top-of-funnel education (“what is [category]”, “how does [vertical] payments work”) with no bottom-of-funnel commercial content. The paid landing pages had no top-of-funnel parallels. Every prospect was being forced into a binary choice between “read an article” and “request a demo,” with nothing in between.
AI search citations were zero and getting worse.
The category was being rapidly reshaped by Google AI Overviews and Perplexity. Buyers were asking LLMs “what’s the best [category] platform” and the platform was not being cited. Two competitors were.
The partner team had been asking both agencies for nine months whether they should fire one and double down on the other. The honest answer was that neither problem was a channel problem — it was an integration problem.
What we did
One strategist. One shared intent universe. One unified attribution.
Consolidate ownership, rebuild the attribution
The structural fix had to come first. As long as paid and SEO were owned by two different teams answering to two different sets of weekly metrics, no amount of channel-level work would solve the integration problem.
- Single strategist owning both channels. One person responsible for paid + organic strategy, with channel specialists (paid search lead, SEO lead, content lead) reporting into the strategist’s brief. One unified plan, one shared keyword universe, one shared content roadmap.
- HubSpot attribution rebuild. Implemented a unified UTM taxonomy across paid and organic, server-side GTM via Stape for first-party tracking, HubSpot offline conversion sync to Google Ads (SQL stage and Opportunity stage flowing back to bidding), and multi-touch attribution reporting that showed channel contribution at each stage of the funnel rather than first-touch-only or last-touch-only.
- Shared dashboard in Looker Studio. One dashboard, both channels, one pipeline number, with channel contribution shown both at-touch and influenced. Replaces the two contradictory monthly reports.
Build the shared intent universe
This is the load-bearing piece of the engagement. The “shared intent universe” sounds like marketing language; in practice it’s a specific artifact.
We mapped roughly 800 priority queries across the buyer journey into a single matrix:
| Intent Stage | Buyer Question Pattern | Paid Treatment | Organic Treatment |
|---|---|---|---|
| Problem-aware | “why is my [vertical] processing fee so high”, “how to reduce payment failures in [vertical]” | Not bid (low intent) | Long-form educational content, FAQ schema, AI Overview optimization |
| Solution-aware | “[category] software”, “how does [category] platform work”, “alternatives to [legacy player]” | Not bid (still researching) | Pillar pages and comparison content, internal linking to commercial pages |
| Commercial / vendor evaluation | “best [category] for [vertical]”, “[competitor] vs [competitor]”, “[category] pricing” | Tight bids on tCPA, dedicated landing pages | Commercial intent pages, /compare/[competitor] pages, /alternatives-to/[competitor] |
| Branded / high-intent | “[brand] demo”, “[brand] pricing”, “[brand] login” | Brand defense only | Owned by organic, paid bid only when competitors enter the auction |
The matrix produced three structural decisions:
- 1Stop paid-bidding on solution-aware queries. These weren’t qualified opportunities yet, and SEO was already ranking on most of them. Bidding was paying for traffic the brand was already getting for free organically. Saved an estimated $11K/month in paid spend that was reallocated to commercial-intent queries.
- 2Build the missing commercial-intent organic content. The previous SEO setup had built top-of-funnel content but skipped the commercial layer. Eight new commercial-intent pages were prioritized in the first 60 days: comparison pages versus three named competitors, “best [category] for [vertical sub-segment]” pages, and a pricing transparency page.
- 3Unify landing page experience across paid and organic. Same hero structure, same CTA hierarchy, same proof points, same competitive positioning. A buyer searching “[category] for [vertical]” got a consistent brand experience whether they clicked the paid ad or the organic result.
Paid restructure (SKAGs by commercial intent)
The paid account got rebuilt around the commercial-intent slice of the shared universe:
- Single Keyword Ad Groups for commercial-intent queries. Every commercial-intent cluster from the shared intent matrix got its own SKAG with dedicated ad copy and a dedicated landing page. Message match went from near-zero to near-perfect.
- Killed Performance Max.Same call as the B2B services playbook — fintech offline conversion data needs to be flowing reliably for 6+ months before PMax has enough signal to bid intelligently. Turned it off, redirected the spend to high-intent SKAGs.
- HubSpot SQL events flowing back to Google Ads. Offline conversion sync from Phase 1 now feeding the bidding algorithm real pipeline signals. tCPA targets set against cost per qualified opportunity, not cost per form fill.
- Negative keyword discipline. 200+ negatives added in the first 30 days, organized into shared negative keyword lists by category (job seekers, students, DIY queries, sub-ICP companies). Weekly search terms review maintained throughout the engagement.
SEO content rebuild around commercial intent
The previous SEO setup had built a content footprint around educational queries. That footprint wasn’t wrong — it was incomplete. The missing layer was commercial intent: the queries buyers search when they’re actively evaluating vendors.
- Content audit and triage. 140 existing pages audited. 35 flagged for refresh (outdated data, thin content, missing internal links). 12 flagged for consolidation (duplicate topic targeting). 20 flagged for deletion (zero traffic, zero backlinks, cannibalizing other pages).
- Commercial-intent content sprint. Eight new commercial-intent pages shipped in the first 60 days: three /compare/[competitor] pages, two “best [category] for [vertical sub-segment]” pages, one pricing transparency page, one ROI calculator page, and one integration directory page.
- Pillar-and-cluster architecture.Three pillar pages built around the highest-volume category terms, with 8–12 cluster pages each internally linking to the pillar and to the relevant commercial landing page.
- Quarterly content refresh cycle. Every commercial-intent page gets a quarterly data refresh, competitive positioning update, and internal link audit. Educational content refreshed semi-annually. This prevents the common SEO failure mode where content ranks, decays, and gets re-written from scratch every 18 months.
AI search optimization
Fintech is one of the categories AI Overviews and Perplexity are most aggressively reshaping. Buyers are increasingly asking LLMs “what’s the best [category] platform for [vertical]” before they ever type the same query into Google. Being absent from those citations means being absent from the top of the funnel.
- Entity recognition build. Structured data (Organization, Product, FAQ, HowTo) implemented across the site. The goal: make the platform a recognized entity in LLM training corpora and retrieval indices, not just a keyword match.
- Citation-friendly content formatting. Comparison pages restructured with clear claim-evidence pairs, concise summaries above the fold, and explicit data points that LLMs can extract and cite. The formatting pattern: bold claim sentence, supporting data sentence, source attribution.
- Quoted-authority outreach.Placed the platform’s CEO as a quoted authority in four category-defining editorial pieces on fintech trade publications. The goal wasn’t backlinks (though those helped) — it was getting the brand cited as a category authority in the corpora LLMs draw from.
- Tracking AI citations. Weekly manual audits of Google AI Overviews and Perplexity responses for the 40 priority queries, tracking citation frequency, citation position, and whether the citation linked to the right page.
By month 6, the platform was being cited in 28 distinct AI search responses (up from zero) and was a regular citation source in two of the three competitor-comparison query patterns we’d prioritized.
The compounding integration effects
Once the foundation was stable, the work was about making the channels feed each other rather than compete:
- Paid as a research accelerator for SEO. Ran paid tests on new commercial-intent queries for 2–4 weeks before investing in organic content. If the query converted at an acceptable CPA from paid, it got prioritized in the content roadmap. If it didn’t, the organic team skipped it. Paid search terms data became the fastest ICP-validation tool in the content workflow.
- SEO as a remarketing audience for paid. High-intent organic visitors who read comparison pages or pricing pages but didn’t convert were retargeted via paid search RLSA campaigns and Google Display. The remarketing pool was 3x larger than what paid alone would have generated, and these visitors converted at 2.6x the rate of cold paid traffic.
- Branded search compounding. AI Overview citations and editorial coverage drove unbranded category-research traffic to brand-aware searches. Branded query volume grew 240% over 9 months, and that branded search traffic converted at 8x the rate of unbranded paid traffic, at roughly 1/20th of the CPC.
- Coordinated launch playbook. New feature releases and product updates got a coordinated paid + organic launch: paid ads targeting competitor-comparison queries on launch day, organic content (comparison page updates, feature-specific landing pages) pre-staged and indexed before launch, and PR coverage targeted at publications the LLMs cite.
The math
| Metric | Baseline | Month 9 | Δ |
|---|---|---|---|
| Total paid spend | $48K/mo | $52K/mo | +8% |
| Qualified opportunities (HubSpot stage 3+) | 18/mo | 50/mo | +178% |
| Qualified pipeline created | $620K/mo | $1.74M/mo | +180% |
| Cost per qualified opportunity (blended) | $2,667 | $1,560 | −41% |
| Organic-sourced qualified pipeline | $230K/mo | $740K/mo | 3.2x |
| Paid-sourced qualified pipeline | $390K/mo | $820K/mo | 2.1x |
| Self-sourced (branded direct + AI citations) | — | $180K/mo | New stream |
| Organic monthly sessions | 22,000 | 67,000 | 3x |
| Top-10 organic rankings | 380 | 1,940 | 5.1x |
| AI Overview citations | 0 | 28 | New channel |
| Branded search volume | Index 100 | Index 340 | +240% |
| Paid bid coverage on solution-aware queries | $11K/mo | $0/mo | Eliminated |
On the integration math.This is the central claim. Organic-sourced pipeline grew 3.2x. Paid-sourced pipeline grew 2.1x. Neither channel alone produces the 2.8x blended pipeline number that shows up in the qualified pipeline line — both channels growing together does. The reason both channels grew faster than either would have alone is the reallocation of paid spend off solution-aware queries (which SEO was already covering for free) into commercial-intent queries (which paid is structurally better at). One channel funded the other’s expansion.
On the spend-flat result.Paid spend grew only 8% over nine months. The 180% pipeline lift came from reallocation and integration, not from spending more. This is the metric the CFO cares about and the one that’s hardest for single-channel agencies to deliver, because they don’t have the option of moving budget across channels to find the most efficient slice of the same intent universe.
On the 240% branded search volume growth. This is the long-term integration payoff that compounds for years after the engagement. AI Overview citations and editorial PR coverage exposed the brand to category-research audiences who later returned via branded search. Branded search converts at roughly 8x the rate of unbranded paid, at roughly 1/20th the CPC. The structural shift of “buyers know our name” is what makes the unit economics work in fintech, where commercial-intent CPCs sit at $40–80.
What we’d flag to anyone reading this
This worked because four things were already true. They aren’t always.
The product was strong and had clear ICP fit in the vertical.
Marketing integration multiplies signal; it doesn’t manufacture it. If the product is mediocre or the ICP is unclear, the same playbook produces a fraction of the lift. We’ve turned down fintech engagements where the ICP was “any business that processes payments.”
Both channels had been running long enough to have data, even if it was messy.
The integration work depends on real search terms data, real ranking data, and real HubSpot data. Brands that haven’t been doing paid or SEO long enough to have learned anything need a different 6-month plan focused on building the foundational data first.
HubSpot data hygiene was good enough to be useful.
SQL stages and opportunity stages had been tagged consistently for years. If the CRM had been a junk drawer, the offline conversion approach wouldn’t have worked and the attribution rebuild would have been a 6-month project before any channel work could begin.
The partner team was willing to consolidate agencies.
Most agency consolidations stall on internal politics. The previous paid agency and SEO agency had to be told the engagement was ending, and the marketing team had to coordinate that transition cleanly. Some clients prefer parallel agencies for ‘second opinions’ — that preference is incompatible with the integration thesis of this case study. We have this conversation in discovery and we walk away from prospects who want us to coexist with another agency on the same channel mix.
And a fifth thing worth naming: integrated paid + organic only works when one strategist owns both.
Hire two agencies and you get two strategies. Hire one agency with separate paid and SEO teams that don’t talk to each other and you get the same result through a single contract. The structural change is one human accountable for both channels with the authority to move budget between them. Without that, the “integration” is a slogan, not a deliverable.
Engagement details
- Team on the account
- 1 strategist (owning paid + organic), 1 paid search lead, 1 SEO lead, 1 content lead, 0.5 technical SEO specialist, 0.5 conversion analyst
- Tool stack
- Google Ads, HubSpot, Stape (server-side GTM), Ahrefs, Screaming Frog, GA4, Looker Studio
- Reporting cadence
- Unified weekly summary across both channels, monthly executive review showing channel contribution and integration metrics, quarterly QBR with the partner team
- Contract structure
- 6-month minimum (integration takes time to compound), month-to-month after that
Ready for the same teardown on your paid and organic?
We audit both channels at once and show you where the two are fighting each other before you commit to anything.