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Series A B2B SaaS, mid-stage. The plan was the default playbook: Google, Meta, LinkedIn, even split. Looked reasonable on a spreadsheet. The audit ran the diagnostic the founder hadn’t: how does this company actually close deals?

Sales were multi-stakeholder, demo-led, with a 60-day average cycle and most deals influenced by a referenced champion inside the buyer’s org. Cold-traffic awareness channels weren’t going to move that needle. They’d produce top-of-funnel volume that died in the pipeline. The channels that mapped to the actual sales motion were intent-based search (catching buyers already in evaluation), a single targeted partnership channel, and a retargeting layer for nurture.

We reallocated the round into those three. Google awareness and Meta were paused. The framework was simple: spend follows the buying journey, not the platform menu. Six months later, paid was producing pipeline that converted, and the founder could draw a clean line from channel to closed-won in the next investor update.

Consumer subscription app, post-seed. Founder was running 90% of paid spend on Meta, optimising for app installs. Cost-per-install looked clean, install volume was scaling, the deck story was clean. The audit looked at what was happening after the install.

Free-to-paid conversion was sitting at single digits. Of the small share that did convert, most churned inside the first sixty days. The platform was reporting a healthy install funnel because that’s what it had been told to optimise for. But the install audience and the paying-subscriber audience were two different groups, and the algorithm was getting better and better at finding the wrong one.

The framework recommendation wasn’t about budget. It was about what the algorithm was being asked to find. We shifted the optimisation event from install to paid conversion, narrowed audience targeting to high-intent lookalikes built off paying subscribers, and added a search layer for users actively looking for the category. Creative was rebuilt around the value moment that converts free to paid, not the hook that drives installs. Within a quarter the program was producing fewer signups but materially more paying subscribers, and the founder could finally answer where the real demand is, not just where the impressions are cheapest.

DTC brand, post-seed, scaling Meta hard. Six months of consistent ROAS, then a slow drift downward. Founder’s instinct: spend more, push harder. Audit ran the layer underneath: same three creative angles in rotation, same awareness level, same buyer motivation across every ad. The audience wasn’t bored of the brand. The audience had seen every story the brand was telling.

The strategic problem wasn’t budget. It was the creative angle library. The brand was speaking to one buyer state, ready to buy, and the algorithm had already shown those ads to everyone in that state. Scaling spend just meant chasing impressions inside a saturated pool.

Recommendation: build a creative angle framework that maps to different buyer states. Problem-aware angles for buyers who don’t yet recognise the category. Solution-aware angles for buyers comparing options. Brand-aware angles for buyers ready to pick. Plus rotation across emotional drivers (convenience, status, value, identity), so the same audience is encountering the brand from new directions, not the same story repeated. Spend stayed roughly flat. The addressable audience expanded. ROAS recovered within the quarter, and the founder had a credible answer to how much demand was still available and how to grow ROI without burning more budget.