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going down market

Discover the latest news, tips and Go to Market strategies from LeadGenius.
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Why Salesforce's Stock Drop Signals a Tough Road Ahead for SaaS Companies

Following Salesforce's first quarterly earnings miss since 2006, we explore shifts in the SaaS industry, and why big corporations are targeting smaller markets.
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The Strategic Pivot from Enterprise to SMB in the Tech World

Why are Enterprise teams at Google and other tech giants being culled in favor of SMB initiatives? Explore strategic pivot from enterprise to SMB in tech world.
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Going Down Market in 2024? You're not alone.

AWS and Google are focusing on down market sales. As reported by SiliconANGLE, Google Cloud, the strategy involves a major reshuffle within its go-to-market org
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Frequently Asked Questions

What is Precision Data?

Precision Data is highly specific and verified data sets tailored to a business's unique needs. Instead of generic, one-size-fits-all data, precision data offers detailed insights about potential customers, ensuring your outreach is more targeted and effective. With Precision Data, you can access unique granular information enabling you to engage with your audience in a more personalized and impactful way.

How is LG Different?

We built LeadGenius to help data-driven Go-to-Market teams like yours find their ideal customers. Instead of offering only generic data sets, we provide custom on-demand data and insights specific to your business, ensuring more relevant and actionable information. Our data covers over 30+ countries, is GDPR and CCPA compliant, and integrates directly into your workflow. It’s why we are trusted by many of the world's leading Go-to-Market teams.

How Much Does LG Cost?

The cost of LeadGenius varies based on the specific needs and scale of your business. We offer a range of packages tailored to different business sizes and requirements. To get a detailed quote and understand which package would best suit your organization.

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How does LeadGenius use AI?

LeadGenius leverages LLMs and AI to gather and understand data from 440 Billion web resources. We also leverage a machine learning system called Tagger to organize insights and create lookalike audiences.

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