We detected 579 customers using Skai and Kenshoo, 96 companies that churned or ended their trial, and 6 customers with estimated renewals in the next 3 months. The most common industry is Retail (19%) and the most common company size is 2-10 employees (26%). Our methodology involves detecting JavaScript snippets or configurations on customer websites.
Note: We're unable to detect companies that use Skai and Kenshoo via server-side conversion APIs
About Skai and Kenshoo
Skai and Kenshoo provides an omnichannel advertising platform that enables brands and agencies to plan, execute, optimize, and measure digital marketing campaigns across retail media networks like Amazon and Walmart, plus search, social, and app channels with AI-powered automation and commerce insights.
๐ง What other technologies do Skai and Kenshoo customers also use?
Source: Analysis of tech stacks from 579 companies that use Skai and Kenshoo
Commonly Paired Technologies
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Shows how much more likely Skai and Kenshoo customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Skai and Kenshoo users are sophisticated digital advertisers running complex, multi-channel campaigns at significant scale. The presence of tools like Tealium CDP, TheTradeDesk, and TVSquared tells me these are companies investing heavily in performance marketing across both digital and traditional channels. They're tracking every touchpoint and optimizing aggressively based on attribution data.
The pairing with Tealium CDP makes perfect sense because these advertisers need to unify customer data across dozens of channels before feeding it into their bidding platforms. Marchex appearing 677 times more often is particularly telling, it's a call tracking solution, which means these companies are measuring offline conversions from online ads. The correlation with TVSquared reveals they're even connecting TV advertising performance to digital outcomes. Together with Skai and Kenshoo, this suggests a workflow where every marketing dollar is tracked, attributed, and optimized across the entire customer journey.
My analysis shows these are definitively marketing-led organizations, likely in retail, e-commerce, travel, or financial services where customer acquisition costs are high and competition is fierce. They're probably mature companies with dedicated performance marketing teams, not early-stage startups. The fraud detection tool Sift appearing alongside these platforms indicates they're dealing with transaction volume at a scale where fraud becomes a real concern. These companies have moved beyond basic digital advertising into sophisticated programmatic buying, cross-channel attribution, and real-time optimization.
๐ฅ What types of companies is most likely to use Skai and Kenshoo?
Source: Analysis of Linkedin bios of 579 companies that use Skai and Kenshoo
Company Characteristics
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Shows how much more likely Skai and Kenshoo customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: Motor Vehicle Manufacturing
15.2x
Industry: Hospitality
10.5x
Company Size: 501-1,000
6.6x
Industry: Retail
6.2x
Company Size: 201-500
3.7x
Country: US
3.6x
I noticed this dataset is remarkably noisy and inconsistent. The vast majority of these companies appear to have no logical connection to Skai and Kenshoo, which are digital advertising and marketing platforms. I'm seeing hospitals in Indonesia, engineering colleges in India, law firms in Scotland, furniture retailers, Harley-Davidson dealerships, and even municipal governments. This suggests the data collection methodology was flawed or these are false positives.
The credible companies span different stages. Swoon raised Series B funding at $19.3M, suggesting growth stage. Most others appear to be established enterprises with hundreds of employees and mature operations. Very few show the venture-backed, high-growth profile I'd expect from performance marketing platform users. The signal-to-noise ratio here is extremely poor.
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