Atlas Copco Group is a global industrial company that makes compressors, vacuum systems, power tools and industrial equipment used across manufacturing, construction and other industries.

They have an organization-wide social presence that spans multiple business areas, divisions, brands and local markets. The operating model for those programs was built around traditional social media approaches of reactive monitoring and decentralized execution. The challenge for Pankaj Kumar, Manager Digital Services at Atlas Copco Group and his team wasn’t just publishing consistently—it was maintaining brand trust, quality, compliance and reputation across a highly distributed social ecosystem, while still giving local teams the freedom to communicate in ways that made sense for their own local markets.

To close those gaps, the team built a new approach around Sprout Social, surfacing early signals of reputation risk while they were still small and contained to a single account or market.

The signals that show up before the spike

The real value of social data for Atlas Copco lay in identifying what sentiments and trends were beginning to form…. before they became intractable online truths. Social listening and traditional reputation management had largely functioned as monitoring tools: tracking mentions, sentiment, engagement and spikes.

Looking closer at how conversations actually evolved, the team saw that many risks didn’t start as large spikes. They showed up first as smaller patterns: repeated questions, inconsistent account activity, off-brand content, inactive pages, declining quality signals or fragmented local execution. On their own, none of these looked alarming—a single low-quality post or one inactive account doesn’t read as an issue needing business intervention.

When seen across multiple accounts, markets, and platforms, these signals pointed to a larger trend. Social media was no longer just a publishing channel. It had become an early indicator of brand health, governance maturity, and potential reputation risk.
Pankaj Kumar
Manager Digital Services at Atlas Copco Group

“That perspective changed how we looked at social intelligence. We started seeing social data not as a reporting output, but as a business input,” adds Pankaj. The team began asking more strategic questions of their listening programs, like which accounts are healthy or at risk, where is brand consistency slipping, which conversations are becoming reputational signals and where does the organization need training, governance or clearer ownership?

Making the case internally for more training and governance meant framing the shift carefully. The team positioned the new approach as an informed support system, helping local teams stay aligned to core narratives, giving communications teams better visibility and creating a structured path for local teams to identify and act before small issues became larger risks.

By focusing on creating a support system, the Atlas Copco Group’s team changed how local teams experienced the process too. Rather than being audited and judged, they were supported with clearer expectations, training, feedback mechanisms and escalation guidance. Local teams came to see the central team’s involvement as useful.

The biggest change was strategic. Social intelligence became a way to get ahead of risk, not just report on it after the fact.
Pankaj Kumar
Manager Digital Services at Atlas Copco Group

That mindset is also preparation for what’s next: as public conversation becomes more AI-driven and moves even faster, having a model built to catch weak signals early matters more, not less.

What began as a governance challenge became a model for staying ahead of risk across every brand, market and platform Atlas Copco Group touches. Ready to see what’s forming in your own social data before it becomes a headline? Book a demo with Sprout Social.