AI-driven GTM Efficiency

We are in 2 transformational phase shifts:

1) GTM motions and the mechanics needed are changing significantly.

2) AI is augmenting intelligence and changing the way we work.

There has been an explosion of enterprise AI tools. There are 80+ below that are viewed as leaders.

However, if you look broader you can find 400+ AI tools. The below image is sales only. 🤷‍♂️

The traditional roles of sales development representatives (SDRs), account executives (AEs), customer success managers (CSMs), and marketers are being reshaped by AI, augmenting human capabilities and redefining efficiency standards.

Battery Ventures released a report that stated there could be a 30% S&M savings with the right AI-powered automation. In other words, 75 people could do the same as 110. 🤯

How you ask? Let’s break it down.

Lead Prospecting: Expansion of the SDR to AE ratio from 1:2 to 1:3 or even 1:4 and marketing spend reduction with more targeted leads and greater automation. 

Engagement: 9-month ramp times cut down to 6 months as AI-driven platforms facilitate quicker learning curves and provide new hires with actionable insights, allowing them to hit the ground running.

Close / Forecast: Decision-making processes now underpinned by AI-driven intelligence help evolve from guesswork to data-driven forecasting heralds a new era of predictability and accuracy in S&M.

Retain & Expand: CSM to paying customer ratio is expanding to astonishing new ratios such as 1:50+, facilitated by AI-driven automation and personalization engines.

As AI continues to mature and integrate more deeply into business processes, companies that embrace this change will find themselves at a significant advantage. They'll be the ones to harness the full potential of their data, convert insights into action, and lead the charge in the uncharted territories of the AI-enhanced business landscape. Those who lag in adopting this change may find themselves outpaced in a world where AI-driven agility is fast becoming the new norm.

Best practices to leverage when thinking about your AI strategy

Reimagine your company: Assess and adapt your company's vision to align with the capabilities of AI. Use AI to identify and leverage disruptive opportunities in your sector.

Hype vs. Disruption: Differentiate between fleeting trends and genuine AI disruptions that can redefine markets. Understand the maturity of the market to time your entry with precision.

Sequence your product development: Align product development with market readiness and AI's disruptive timeline. Identify and tailor your approach to markets most receptive to AI integration.

Data Informed: Utilize AI to gather and analyze data for informed decision-making.

Customer-Centric: Develop AI-driven insights into customer behavior and preferences.

Agility in Execution: Be prepared to pivot strategies as AI technologies evolve and new insights emerge.

Data Privacy: Prioritize data security to maintain trust as you harness AI.

Talent Acquisition: Attract AI talent that can drive innovation and competitive advantage.

Resource Allocation: Invest wisely in AI technologies that match your long-term objectives.

Here are 15 questions to answer before implementing AI

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