Companies that use Heatmap

Source: Analysis of 100 job postings that mention Heatmap

My analysis shows that Heatmap buyers are predominantly senior leaders across diverse functions, with directors in marketing (7%), project management (7%), and risk management (6%) leading purchasing decisions. However, the data reveals an unusually broad buyer profile spanning 72% in other roles, from VPs of operations to heads of change management and PMO leaders. These buyers share common strategic priorities around organizational transformation, capacity planning, and risk visibility. Many are hiring for roles that require skills in managing complex portfolios, tracking interdependencies, and communicating status across executive stakeholders.

Day-to-day users appear to be analysts, project managers, and operations specialists who need to monitor multiple workstreams simultaneously. I found roles focused on maintaining capacity heatmaps, tracking change initiatives, analyzing risk exposure across projects, and identifying resource constraints. These practitioners use Heatmap to provide stakeholders with real-time visibility into portfolio health, bottlenecks, and prioritization decisions.

The core pain point across these postings centers on managing complexity and preventing overload. Companies repeatedly mention needs like "identify capacity gap," "change plan including the change heatmap," "maintains and communicate the EM Data Risk Heatmap," and "monitor regulatory and legal developments." Organizations are struggling to visualize cumulative impact, balance competing priorities, and ensure teams are not stretched beyond capacity. They need centralized views that help leadership make informed decisions about resource allocation and risk mitigation.

Source: Analysis of tech stacks from 1,023 companies that use Heatmap

I noticed something really clear in this data: Heatmap users are almost exclusively e-commerce companies, specifically those running on Shopify. Every single tool in this list is part of the modern direct-to-consumer playbook. These aren't just any online retailers either. They're growth-focused brands that have moved beyond basic Shopify functionality and are actively investing in optimization and conversion rate improvements.

The pairing with Klaviyo (present in 892 companies) and Gorgias tells me these companies have reached a scale where email marketing automation and customer service management have become critical. They're dealing with enough customer volume that they need dedicated tools for each function. What's particularly interesting is the combination of Intelligems and Rebuy Engine. Intelligems runs A/B tests on pricing and shipping offers, while Rebuy creates personalized product recommendations and upsells. Together with heatmaps, this suggests companies obsessed with extracting more revenue from existing traffic through constant testing and optimization.

My analysis shows these are marketing-led operations in their growth stage, probably somewhere between $5 million and $50 million in annual revenue. They're past the scrappy startup phase where founders handle everything manually, but they're not yet enterprise-scale. Triple Whale (a Shopify analytics platform) appearing 287 times more often confirms they're data-driven operators who want to understand every metric. They're likely spending significantly on paid acquisition and need to justify that spend through better conversion rates, which is exactly where heatmaps come in.

Source: Analysis of Linkedin bios of 1,023 companies that use Heatmap

I noticed that Heatmap's customers are overwhelmingly direct-to-consumer brands selling physical products. These aren't SaaS companies or service providers. They're businesses that manufacture and sell tangible goods: cosmetics, apparel, supplements, fitness equipment, home goods, and specialty food products. Many operate in crowded, competitive categories where brand differentiation and online conversion matter intensely.

These are primarily growth-stage companies, not early startups or mature enterprises. The employee counts cluster between 11-50 people, with some reaching 50-200. Very few show significant venture funding, maybe a seed or Series A at most. They're past the founder-in-garage phase but haven't scaled to corporate bureaucracy yet. They're in that critical middle zone where they need to optimize their digital presence and conversion rates to reach the next level.