SharkNinja’s new growth strategy runs through comedy creators

Somewhere right now, a parent is dumping a handful of spinach into a Ninja Creami. It’s not a recipe SharkNinja’s engineers dreamed up. It’s a hack cooked up by the brand’s own customers — the kind of unscripted ingenuity that turned a countertop ice cream machine into one of TikTok’s most reliable viral hits during the pandemic.

But that success came with a limit. By the time Kaitlyn Hebert, global CMO of SharkNinja, sat down to plan the Creami’s next act, the machine had already won over the two audiences most inclined to buy it: gym-goers chasing high-protein, low-cal treats, and parents looking for a five-minute fix for the kids. Everyone else had heard of the Creami. Almost none of them had bought one.

The same problem was playing out one aisle over. Ninja’s Auto Barista products sat in a category built on heritage and price tags that ran $5 to $7 a cup — a market that had never bothered to talk to anyone outside its existing customer base. 

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‘Future of targeting’: Media agencies tentatively explore vector-based planning

For some media agency executives, it’s the “future of targeting.” Others say it’s a theory that will only get you so far. Though the case studies remain unwritten, agencies like WPP are already running early-stage vector-based targeting solutions in key markets, including the U.S., while peers at Dentsu see it as the natural next step for contextual targeting.

“It’s becoming more widespread,” said Alex Steer, chief data officer, WPP data & technology solutions. “We expect to see it growing.”

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Vector-based targeting uses similar ideas to those underpinning lookalike or contextual targeting. It refers to the practice of finding an audience based on a combination of several different pieces of information, like the different “dimensions” to a coordinate, rather than targeting using keywords.

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