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Industries
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Series B
Total Funding
$69.1M
Headquarters
Palo Alto, California
Founded
2017
Databook provides a platform designed to assist B2B sales teams in understanding their potential clients better. The platform uses artificial intelligence to gather and analyze large amounts of data, offering insights that are tailored to each prospect's needs. This allows sales teams to move away from generic sales pitches and engage in more meaningful conversations that address the specific interests of their clients. Databook's clients benefit from improved sales efficiency, with reported outcomes including a 45% reduction in time-to-close and a 20% increase in average deal size. The platform also simplifies the research process for sales teams, providing them with valuable competitive benchmarks. Databook differentiates itself from competitors by focusing on personalized insights that enhance the sales conversation, ultimately aiming to help teams close deals more effectively.
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Total Funding
$69.1M
Above
Industry Average
Funded Over
3 Rounds
Industry standards
Competitive salary with bonus
Equity
Medical, Dental and Vision care contributions
401k Retirement Plan
4 weeks vacation plus holidays
Employee referral bonus program
$500 learning stipend to spend on books, courses or other training materials that help you develop skills relevant to your role or professional development
Complimentary subscription to Masterclass
Budget for home office equipment
Databook today unveiled the industry’s first Strategic Relationship Management (SRM) platform to enable sellers to create, manage, and maintain strategic relationships at scale.
cameraImage Credits: Anthony Lee (opens in a new window) / Getty ImagesAnand Shah, CEO and co-founder of Databook, has more than 15 years of experience in helping Fortune 500 CXOs develop strategic relationships with prospects to drive top-line growth for the enterprise.More than 150,000 workers lost their jobs this year as layoffs swept across the tech landscape since June. Constant news cycles have analyzed every aspect of these staff reductions for meaning and lessons. How did we get here? How are companies managing employees? Are there more layoffs on the way?And, critically, what’s next for tech? Investors are now demanding profitability over growth. This extreme change in the business model investors want has left companies with difficult decisions ahead and no playbook. Without the liberty a low-cost capital environment affords, for investors, new ventures that promise uncertain returns are a thing of the past, or at least, a much smaller focus.What every company needs now is efficient sales.But there is a big difference between knowing that you need efficient revenue and knowing how to get it. Leaner teams, fewer resources, and a tough macro environment mean that CROs are forced to make big changes to budgets, staffing and how they market and sell.But maintaining revenue while the CFO is cutting costs by 5%-20% is not an easy task for anyone — and doing more of the same won’t get you there
Databook, a revenue technology company, today announced that Marta Molina Paul has been named the company’s Senior Vice President, People Operations.
Databook, a revenue technology company, today announced the addition of veteran technologist and financial operations expert Jeff Epstein to the company’s Board of Directors.
PALO ALTO, Calif.--(BUSINESS WIRE)--Databook, a revenue technology company, today shared several significant company achievements that reflect outstanding midyear momentum. Chief among these achievements is Databook’s ongoing exponential revenue growth. Since securing its Series B funding earlier this year, the company has continued its rapid upward trajectory with Annual Recurring Revenue (ARR) growth of 177% YoY—putting Databook on track to achieve a fifth consecutive year of 3x growth. Additionally, the company has a net revenue retention (NRR) in excess of 250% YoY. These figures illustrate Databook’s increases in both marketshare and customer satisfaction
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Industries
Enterprise Software
AI & Machine Learning
Company Size
51-200
Company Stage
Series B
Total Funding
$69.1M
Headquarters
Palo Alto, California
Founded
2017
Find jobs on Simplify and start your career today