{"id":69022,"date":"2026-04-09T13:08:16","date_gmt":"2026-04-09T03:08:16","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=69022"},"modified":"2026-04-09T13:08:17","modified_gmt":"2026-04-09T03:08:17","slug":"sales-tech-stack","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/au\/blog\/sales-tech-stack\/","title":{"rendered":"How Australia\u2019s Top 1% of Sales Leaders are Outperforming the Market in 2026 With Their Tech Stack"},"content":{"rendered":"\n

Eight tools per rep is a tax no sales leader can afford. Here\u2019s how 350 of your peers are consolidating their stacks and deploying a \u2018digital workforce\u2019 to scale without the headcount headache.<\/em><\/p>\n\n\n\n

Every conversation I have with sales leaders lately turns to agentic AI and the opportunity it represents for businesses. While the excitement is there, what\u2019s often missing from these conversations is the \u2018how-to\u2019 element learned by those who\u2019ve moved from optimism to implementation. It\u2019s easy to make predictions about what AI agents could change, but I would argue it\u2019s more important to understand the systems that should scaffold AI use so businesses can truly drive results.<\/p>\n\n\n\n

Every two years, we survey thousands of sales professionals globally to understand what’s working, what’s not, and where the smartest teams are placing their bets. This year, we spoke to 4,050 sales pros, including 350 from here in Australia and New Zealand. The findings are clear: the winning teams aren’t just using AI, they’re simplifying their tech stacks and unifying their data so AI actually has something to work with.<\/p>\n\n\n\n

If you’re a sales leader in Australia or New Zealand, this matters to you. The data paints a clear picture: while 94% of sales leaders with AI agents say they’re critical for meeting business demands<\/a>, 42% of sales reps report they\u2019re overwhelmed by tech sprawl and hamstrung by siloed data.<\/p>\n\n\n\n

This isn\u2019t just a productivity drag. It\u2019s a major business and talent risk. The cost of doing nothing is seeing your top performers missing targets, or worse, burn out on admin because they\u2019re too busy managing tools to get back to what they do best: actually selling.<\/p>\n\n\n\n

The Problem: Tech Sprawl and Data Silos Are Limiting Sales Teams<\/strong><\/h2>\n\n\n\n

A statistic in the report that gave me pause was that only 34% of sales teams globally use a single, unified platform. The rest are juggling an average of eight standalone tools.<\/p>\n\n\n\n

In practice, this means that sales reps aren’t actually spending their days selling. They’re jumping between systems, manually entering data, and trying to source information that should already be connected. Our research shows that sellers spend more than half their time on non-selling work like data entry and prospecting.<\/p>\n\n\n\n

Another key blocker the report emphasised: when your data is siloed across multiple systems, AI can’t access the context it needs to be truly useful. Data and analytics leaders estimate that 19% of their data is inaccessible<\/a>, and most believe their most valuable business insights are inside that inaccessible 19%.<\/p>\n\n\n\n

The user experience implications are dire. When sales reps are forced to toggle between eight different tools, the friction compounds. \u201cToggle tax\u201d isn\u2019t just inefficient, it\u2019s cognitive overload that impacts your team’s job satisfaction and performance.<\/p>\n\n\n\n

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