How?

Generate.

Sprouts.ai Demand Generation Platform.

Ian H Smith

Aided ve been focused on applying technology to increase sales effectiveness for the past 25 years. At the core of this work is new delivering Demand Generation solutions with venture capital-funded. Sprouts.ai1

Sprouts.ai is a Demand Generation Platform, focused on improving lead generation: finding the right prospect, at the right time. This is in four steps, realised in a Discovery process in just a few days: Discover; Enrich; Identify; and, Automate.

01. Discover Ideal Customer Profile (ICP): AI-driven Analysis and Targeted Account List building.
02. Enrich Database: curate Contact/Account Enrichment from 20+ top Data Sources.
03. Identify Intent Signals: AI Intent Mapping to target Ready-to-Convert Accounts.
04. Automate Outreach: Multi-Channel Campaigns across email, LinkedIn and phone.

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Buying Intent is central to the success of Sproats.ai, where AI Signals and Intent Topics are key to generating quality sales leads. One way to characterize Buying Intent is for AI to recognise what psychologists call a Need For Cognition (NFC)4.

High-NFC Prospects show intent by seeking, consuming, and acting on substantive, diagnostic information (e.g., technical docs, ROI models). Their 'Intent Expression' is argument-led.

Low-NFC Prospects show intent through responsiveness to credible cues and frictionless paths (trusted brands, testimonials, peers using it, quick wins). Their 'Intent Expression' is cue-led.

Sproats.ai provides a comprehensive library of Intent Topics and you can add to these, translating High-NFC and Low-NFC characteristics into pragmatic definitions for Buying Intent.

Sproats.ai provides a comprehensive set of AI-powered tools to determine the right AI Signals to uncover relevant, publicly-available data supporting Intent Topics that otherwise, would be difficult to discover in a timely, cost-effective way.

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Go-To-Market Strategy Calculator.

There is an online Go-To-Market (GTM) Strategy Calculator on our Sprouts.ai Website, as I have illustrated in the infographic above. Go here to explore your GTM Optimization Score.

Breaking down the key components of the GTM Strategy Calculator.

Annual Opportunity Volume
This metric captures the total number of sales opportunities you handle each year. Whether you're managing a lean sales team with a few hundred opportunities or a large-scale operation with thousands, understanding your Annual Opportunity Volume helps put the scope of your GTM strategy in perspective.

How to use it.
Enter the number of opportunities your team manages annually. If you're a smaller business, this might range from 250-500 opportunities; for larger corporations, it could go as high as 10,000. The calculator adjusts to fit your business size, giving you insights tailored to your specific needs.

Average Deal Size
This is the average revenue you bring in per deal and a crucial factor in understanding the financial impact of your sales efforts. Knowing your average deal size helps you assess how much each closed deal contributes to your bottom line.

How to use it.
Input your Average Deal Size, whether it's a modest $/£500 or a robust $/£500,000. By specifying this range, you'll see how your sales strategy is affecting your overall revenue goals and get a clearer sense of how each deal impacts your profitability.

Win Rate
Win rate reflects the percentage of prospects that ultimately convert into paying customers. It’s a critical measure of how effective your team is at closing deals, and it shows whether your approach is resonating with your target audience.

How to use it.
Enter your win rate as a percentage between 0 and 100. For added precision, you might even choose a prime number (e.g. 37%) to reflect the specificity of your approach. The tool will use this figure to gauge how efficient your sales tactics are.

Database Accuracy
A quality database can make or break your marketing success. With an accurate, up-to-date database, your messaging reaches the right people, enabling more meaningful connections and fewer wasted resources. The quality of your data is foundational to every other part of your GTM strategy. If you use Salesforce, for Database Accuracy take a look at my Optimize services.

How to use it.
Choose from one of three options: 'Less than 50%', '50-70%', or 'More than 70%' accuracy. This measure helps you understand the reliability of your data and identify areas for improvement.

Monthly Marketing Spend
Your marketing budget plays a huge role in determining how far and wide your message can go. By understanding your Monthly Marketing Spend, you'll see if your budget aligns with your overall GTM goals and allows for effective campaigns.

How to use it.
Select one of the following categories: 'Less than $50K', '$50K-$100K', or 'More than $100K'. By categorizing your spend, you get insights into whether your investment is matching the scale of your strategic efforts.

Analyzing your metrics is one thing; implementing a powerful GTM strategy that grows with your business is another. It's our business to grow yours.

Platform Overview.

Sprouts.ai is an intelligent Demand Generation Platform that transforms how you find, connect with, and convert high-value prospects — all with smarter, data-backed strategies. Here’s a quick look into our product:

Identify prospects who are most likely to convert.
Define ICP using advanced variables.
Go beyond basic demographics with a comprehensive ICP. Use advanced filters like technographic data, buying behavior, and purchase patterns to laser-target high-conversion prospects.

Reveal anonymous Website visitors.
Don't let valuable traffic slip away unseen. Use Sprouts.ai to identify both account and contact-level information on site visitors.

Predict buying intent.
Gain deep insight into your prospect's buying journey with predictive purchase signals. Our tools analyze behavior patterns, enabling you to tailor your timing and messaging to hit when interest is highest.

Build consistent, multi-channel connections.
Multi-channel outreach.
Reach your prospects where they are. Outreach across email, SMS, phone, WhatsApp, and LinkedIn with the flexibility of communicating through their preferred channels.

AI-enabled LinkedIn campaigns.
Scale up your LinkedIn outreach with hyper-personalized messaging that resonates. Automate your campaigns to deliver customized messages to ICP contacts, reaching your key decision-makers with impactful content and a personal touch.

Warm introduction to prospects.
Tap into your existing network for warmer introductions. Our tool highlights who in your company is connected to your prospects and develops a warm connection path. This helps you build trust faster and improve the chances of a positive response.

Guide prospects with smart content and funnel insights.
Leverage AI signals.
Stay current and relevant in your conversations by leveraging AI-curated signals, such as company news, press releases, or industry trends. Trend-jack and optimize your pitch in minutes.

Funnel-aligned content.
Know precisely which content drives engagement at each stage of the funnel. Assign pages to Top-Of-Funnel (TOFU), Middle-Of-Funnel (MOFU), and Bottom-Of-Funnel (BOFU) stages, tracking which content resonates best with qualified leads and optimize accordingly.

Next. Your Discovery.

In an initial 30-minute meeting, our consultant will analyze your current GTM strategy to identify strengths, uncover weaknesses, and pinpoint opportunities. Then, within a few days, a second online meeting will provide you with a tangible outcome and hands-on demo, including:

  • A list of ~100 in-market, high propensity prospects.
  • High-intent keywords that your customers are searching for.

The Discovery engagement creates a clear Value Proposition to move onto Implementation in days, not weeks. This includes clear costs as Annual Subscription Fees for Sproats.ai, including a comprehensive Onboarding engagement.


References

  1. Sprouts.ai. (2025). Retrieved October 14, 2025.
    https://sprouts.ai
  2. The Hasso Plattner Institute of Design. (2004) Stanford d.school. https://dschool.stanford.edu/about
  3. Miles, L.D. (1947). The Lawrence D. Miles Value Engineering Reference Center Collection.
    https://minds.wiscon.edu/handle/1793/301
  4. Haugtvedt, C. P., Petty, R. E., & Cacioppo, J. T. (1992). Need for cognition and advertising: Understanding the role of personality variables in consumer behavior. Journal of Consumer Psychology, 1(3), 239–260. Retrieved from richardepetty.com
    https://richardepetty.com/wp-content/uploads/2019/01/1992-jcp-haugtvedt-petty-cacioppo.pdf)