Five engagements documented in full: where each client started, what we changed, what the numbers did, and what would not transfer to a different situation.
Every figure on these pages is reconciled against the client's own CRM at the end of the engagement window, not taken from platform-reported conversions or forecast models.
Client identities are withheld at their request. That is a real limitation on verifiability and we would rather state it plainly than imply otherwise. On a call under NDA we can walk through the detail behind any of them, and arrange reference conversations for engagements at comparable scale.
We report acceleration separately from origination where the distinction matters. Several deals in the manufacturing engagement were in discussion before we started and were accelerated rather than created — conflating the two would overstate what the programme did.
Each case study also records what did not work. The first ABM messaging round in one engagement underperformed and was rewritten; a paid channel in another was cut rather than optimised. Case studies that contain only successes are marketing documents rather than evidence.
Each covers the starting position, what we changed, and what happened to the numbers.
Challenge: $380 cost per lead, 6% qualified-to-sales rate, and no outbound motion at all.
Solution: GTM refresh, ABM programme, cold email engine and a full HubSpot rebuild.
Challenge: Inconsistent pipeline, a persistent sales–marketing gap, and no working attribution.
Solution: Integrated demand campaigns, a full RevOps rebuild and a Salesforce redesign.
Challenge: Zero outbound motion; total reliance on events and referrals for pipeline.
Solution: Cold calling, cold email, a LinkedIn brand programme and Zoho CRM implementation.
Challenge: An addressable market of ~30 accounts, and a marketing programme built around lead volume.
Solution: A Tier 1 ABM programme with full committee mapping, executive roundtables and orchestrated outreach.
Challenge: Strong organic rankings but almost no presence in AI assistant recommendations.
Solution: AI visibility audit, entity consolidation, schema deployment and cornerstone content.
At the clients' request. Several operate in competitive categories where disclosing their marketing approach carries commercial risk. It is a genuine limitation on verifiability, which is why we offer NDA walkthroughs and reference conversations for engagements at comparable scale rather than asking you to take the figures on trust.
No, and presenting them as benchmarks would be misleading. Each engagement had specific preconditions — an existing product with demand, sales capacity, a fixable bottleneck — and each case study states them. We discuss what would need to be true for similar results during scoping rather than after.
Both, reported separately where the distinction is material. In the manufacturing engagement several agreements were in discussion before we started and were accelerated rather than originated. Conflating the two would overstate what the programme achieved.
Usually, for engagements at a comparable scale and in a non-competing sector. That is arranged after an initial call rather than offered upfront, because we ask clients before sharing their contact details.
Figures and claims on this page are drawn from FlairLytics client engagements and verified platform documentation. Content is reviewed on a fixed cycle and updated when the underlying facts change.
These summaries are anonymised. On a call we can walk through the detail behind any of them, including what did not work.
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