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365 Data Centres boosts win rates with Collective[i]

365 Data Centres boosts win rates with Collective[i]

Fri, 1st May 2026 (Today)
Mark Tarre
MARK TARRE News Chief

365 Data Centres has signed a multi-year agreement with Collective[i].

The arrangement has already lifted win rates and shortened sales cycles within six months. According to 365, embedding the software into its commercial operations, rather than using it as a separate sales tool, increased win rates by more than 15% and reduced sales cycle length by 35% since deployment.

Those results supported several quarters of performance above plan, including record bookings in the fourth quarter of 2025 and continued outperformance in the first quarter of 2026.

365's Revenue Operations and Sales teams worked together to integrate Collective[i]'s applications and agents across its go-to-market processes. This replaced manual work, identified buyer-specific risks in real time, centralised deal collaboration, and automated activity capture.

Within the first quarter of deployment, productivity rose 20% and the company's contact database grew 34%, which 365 attributed to automatic activity capture inside existing systems.

Market backdrop

The figures come against a weaker backdrop for business-to-business sales and corporate AI projects. 365 cited Salesforce benchmarks showing average B2B win rates of about 21%, alongside longer sales cycles and quota attainment below 50% for many organisations.

It also pointed to research from the MIT NANDA Initiative indicating that about 95% of AI pilots fail to produce measurable profit-and-loss impact. Many of those projects struggle because they sit on top of existing processes rather than being built into day-to-day operations, according to the company.

Collective[i] describes its product as a time-series neural network model trained on selling patterns, buying behaviour, and broader market signals. It says the system draws on activity across existing records and workflows to provide intelligence to revenue teams without requiring a separate platform.

That distinction is central to the pitch from both companies, which argue that businesses have often deployed disconnected AI tools without changing how commercial teams actually work. In 365's case, the software was integrated into existing systems used by staff, with the aim of making intelligence available during live decisions on deals and accounts.

Derek Gillespie, Chief Executive Officer & Chief Revenue Officer, 365 Data Centres, said the project formed part of a wider effort to improve operational discipline through data and AI.

"This integration reflects our broader commitment to data-driven inspection and AI enablement as solutions and enablers of operational excellence," Gillespie said. "In an industry where speed, precision, and collaboration define success, utilizing Collective[i] as a strategic partner has strengthened our capacity to improve predictability to meet and exceed our targets for long-term growth."

Revenue focus

The agreement highlights how infrastructure providers are also looking inward at sales productivity as competition intensifies across colocation, connectivity, and cloud services. For operators with long sales cycles and complex customer buying groups, small changes in win rates can have a large effect on bookings and revenue growth.

365 said the commercial gains translated into double-digit revenue growth within six months. It did not disclose financial terms for the agreement or provide an absolute revenue figure.

Heidi Messer, Co-Founder of Collective[i], said 365's results reflected a broader shift in how companies apply AI to revenue operations.

"365 Data Centres is part of a cohort of companies defining what enterprise performance looks like in the next era," Messer said. "Collective[i] is trained on how the world does business, patterns of selling, buying, and market dynamics that accumulate over time and compound in ways no prompt or dashboard can replicate. 365's success comes from its leadership and the team's recognition that AI adoption must be structural, not superficial. When AI is embedded in every workflow, every deal, every decision, the returns go from incremental to transformative. The companies unwilling to make that leap will cede ground to leaders like 365 who are already running at a different speed."