Driving 2.5X Growth and 62% More Demos: Storylane's Success with PipeRocket's Campaigns

The challenge

Two things were blocking growth:

• An inconsistent SQL pipeline. Volume swung month-to-month, making forecasting impossible.
• Mid-market and enterprise leads were scarce. SMB inbound was healthy, but the deals that move ARR weren’t showing up in paid.

The team had budget. What they didn’t have was a system to make every dollar match a buyer who could actually close.

Our approach

We rebuilt the paid programme around four phases — sequenced so each one fed the next.

Phase 1 — Audit what’s actually working

We started inside the account, not the brief. Every keyword, ad group, and campaign got measured against one question: is this generating an SQL we’d close? Anything that wasn’t — paused.

Phase 2 — Rewrite the messaging

Ad copy and landing pages were tuned for clicks, not conversion. We reworked both to speak to mid-market and enterprise buyers specifically: their use cases, their objections, the language their internal champions actually use.

Phase 3 — Reallocate budget toward what converts

With underperformers paused, we redirected spend into the campaigns and keywords producing SQLs. No more spreading budget evenly across “let’s see what happens.”

Phase 4 — Add LinkedIn retargeting

Buyers who engaged with Storylane content but didn’t convert went into LinkedIn retargeting pools — segmented by job title and company size. This caught the slow-moving enterprise buyer Google Search alone wasn’t closing.

Negative keywords, weekly

Alongside all four phases, we ran weekly search-term reviews and pushed irrelevant queries into the negatives list. By the end of the quarter, wasted spend was a rounding error.

The results

In three months — August through November 2024 — Storylane’s paid programme moved from inconsistent to compounding.

• SQLs climbed from 55 to 69 — a 25% rise — without any change in budget shape.
• Cost per SQL held steady at $740 to $760, meaning the additional volume came from efficiency, not spend.

• Meetings and demos booked rose 62.07%.
• Product signups across all channels jumped 44.76%.
• Storylane’s overall business grew 2.5X in the quarter.

The most useful part of the result isn’t any single number — it’s that the cost stayed flat while every conversion stage further down the funnel got more efficient. That’s what compounding paid programmes look like.

Why it worked

Three things made the difference:

1. We started from the data, not the playbook. No assumptions about what works for “SaaS PPC” — only what was actually producing pipeline for Storylane.
2. Messaging matched the buyer. Mid-market and enterprise buyers don’t respond to the same hooks as SMB self-serve. The landing page experiments made that gap visible.
3. LinkedIn closed the loop. Search captures intent. Retargeting captures consideration. Together they moved the slow buyer through faster.