412% YoY organic growth for a Series C workflow platform fighting a paid-acquisition ceiling.

Context

Series C B2B SaaS platform in the ops/workflow space. They'd raised a $42M round nine months earlier with aggressive revenue targets and a growth team of three. Paid acquisition was expensive and plateauing — CAC had crept 44% YoY, LinkedIn CPMs were pacing 60% above plan, and the CFO was asking hard questions about blended payback.

Organic was treated as a side project. One ad-hoc blog post every few weeks. No technical SEO foundation. No measurement model. No map between buyer problem → keyword → page. The CMO came to us with a specific ask: "I need organic to be a top-two pipeline source by end of fiscal year. If you can't get us there, be honest."

The audit (first 14 days)

We ran a technical, analytical, and competitive sprint in week one and two. Three findings dominated:

• Technical rot. ~34% of indexed pages were thin or near-duplicate. Crawl budget was being wasted on dead marketing experiments. Core Web Vitals failed on 71% of templates (LCP median: 4.2s).
• Keyword coverage was random. Content had been published to feelings, not plans. Of the 420 pages indexed, only 38 targeted a keyword with meaningful commercial intent.
• Attribution was broken. Content-sourced pipeline was tracked via last-touch only. We modeled multi-touch retroactively against 6 months of HubSpot data and discovered content was already touching 22% of pipeline — the business just couldn't see it.

"The attribution rebuild alone changed the internal conversation. We stopped debating whether content worked and started debating how much to invest in it."— Marcus Reiner, VP Growth

Strategy

Pillar 1 — Fix the foundation

No content investment compounds on a broken technical base. We spent the first six weeks on CWV remediation, consolidation of thin content, internal linking rebuild, and a proper XML sitemap architecture.

Pillar 2 — Build an intent-mapped content engine

We mapped keyword clusters to the four personas their sales team sold against (Ops lead at mid-market, VP Finance at mid-market, Ops at Enterprise, VP Ops at Enterprise) and the five problem spaces each persona cared about. That became a 20-cell matrix. We only published content inside a cell with (a) commercial intent, (b) realistic competitive gap, and (c) a corresponding sales play.

Pillar 3 — Compound with programmatic + original research

Once the editorial engine was running, we layered a programmatic /tools/ directory (320 pages at launch) targeting high-volume calculator/converter keywords in their vertical, plus a flagship data study (1,100 ops leaders surveyed) that earned 180+ backlinks in six weeks.

Pillar 4 — Rebuild attribution so wins are provable

We stood up a modeled multi-touch attribution pipeline in BigQuery, piped it into a Looker board that the exec team saw weekly, and tied every content asset to influenced + sourced pipeline, not just sessions.

Timeline

Tech stack we installed

What actually drove the number

The headline is "+412% sessions" but the real story is what shape that growth took. Three things did most of the lifting:

• The product-focused cornerstone pages (31 of them) targeted bottom-of-funnel keywords and converted at 4.8× the rate of the general blog. By month 11, this group alone sourced $7.4M in pipeline.
• The /tools/ programmatic directory brought in high-intent top-of-funnel traffic with surprisingly strong conversion to free trial (2.1%, vs. 0.4% for general blog traffic).
• The flagship research study was the single highest-leverage asset — 180+ backlinks, 42 of them from DR70+ domains, which lifted the ranking of every page in the cluster around it.

What we got wrong (and corrected)

Two mistakes worth being honest about:

• We under-invested in the top of the content funnel for the first three months. We'd prioritized bottom-of-funnel because of the pipeline urgency, but the lack of top-of-funnel traffic meant we had nothing to retarget. We corrected in month 4 by rebalancing to a 40/40/20 split (TOFU/MOFU/BOFU).
• The first version of the comparison pages was too soft. We tried to be fair to competitors and ended up with pages that didn't convert. We rewrote them in month 8 with sharper opinions and benchmark data. Conversion jumped from 1.1% to 3.7%.

"We've worked with four agencies before Taskstics. None of them could tell us which channel actually moved revenue. These guys shipped a measurement framework in week two and have been printing money ever since."— Marcus Reiner, VP Growth

What's next

The engagement continues. Current focus: international expansion into EMEA (localized content, hreflang, regional authority building), a second data study tied to Q1 earnings prep, and a developer-focused content pod to serve the new API product launching in Q2.