How?

Engage.

AI-powered Demand Generation.

Ian H Smith

Sprouts.ai1 is a Demand Generation Platform, focused on improving lead generation: finding the right prospect, at the right time. This is in three phases, proven in a Discovery process in just a few days: Identify; Connect, then, Engage.

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The Sequence: Identify, Connect, Engage.

Success in modern demand generation isn't just about data; it's about sequence. At Sprouts.ai, we operationalize your Go-To-Market strategy through this three-phase continuous loop.

Identify.

Precision at Scale. The Identify phase is where the Discovery and Enrichment processes converge. We move beyond static lists to dynamic, intent-aware audiences.

De-Anonymization:
We reveal the companies and specific buying groups visiting your site, transforming anonymous traffic into actionable leads.

Psychographic Filtering (NFC):
We apply the 'Need for Cognition' (NFC)4 to segment audiences:
High-NFC Segments: Identified by deep-dive behaviors (reading posts, using online calculators).
Low-NFC Segments: Identified by quick-scan behaviors (pricing checks, review skimming).

Signal Triangulation:
We combine first-party data (CRM, site visits) with third-party signals (hiring sprees, tech stack changes) to score 'In-Market Probability'.

Connect.

Orchestrating the First Touch. Once the right prospect is identified, the Connect phase triggers Orchestration. This is not about spamming; it’s about relevance and 'Warmth'.

Multi-Channel Activation: Whether your prospect lives in LinkedIn, email, or WhatsApp, we route the message to their preferred habitat.
Network Intelligence: Our 'Warm Intro' engine scans your company’s collective network to find colleague connections to the prospect, replacing cold outreach with trusted introductions.
Contextual Routing: If a prospect triggers a 'Budget Cycle' signal, they are routed differently than someone triggering a 'Competitive Research' signal.

Engage.

The Conversation Layer. Engagement is where Automation meets psychology. This phase converts the connection into a sales opportunity.

Dynamic Content Delivery:
For High-NFC: We auto-deliver diagnostic arguments, ROI models, and technical specs.
For Low-NFC: We deliver social proof, case study snapshots, and peer testimonials.

Objection Handling:
Automated sequences anticipate common friction points (price, implementation time) and proactively address them with tailored value propositions.

Feedback Loops:
Every interaction feeds back into the model, refining the ICP and drift detection for future cycles.

Sprouts.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.

Sprouts.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.

Ideal Customer Profiles (ICP) and Total Addressable Market (TAM).

Data ingestion and normalization.
Pull CRM data (Accounts, Contacts, Opportunities), product usage, Web analytics, ad/channel data, and 3rd-party firmographics/technographics.
Clean, deduplicate, and entity-resolve companies and contacts.

ICP modeling.
Train supervised models to learn which firmographic/technographic traits correlate with deals.
Build segmentable ICP tiers with thresholds by revenue band, employee count, etc.

Account ranking:
Score the entire market universe against the learned ICP, producing a prioritized account list.

Buying Intent, Signals, and Triggers.

Multi-source Signal ingestion.
First-party: Website/pageview heatmaps, content downloads, chat transcripts, email, etc.
Third-party: intent networks, review sites, job postings, earned media, social signals.
Operational: support tickets, billing expansions/contractions, integration connections.

Feature Engineering and Time-Series Modeling.
Sequence models that score 'in-market probability' by account and buying group.
Trigger classification (research spike, competitive displacement risk, budget cycle, etc.).

Contact-level buying-group detection.
Map roles to persona archetypes (economic buyer, technical validator, champion, procurement).
Recommend net-new contacts when gaps exist.

Orchestration and Activation.

Playbook automation.
If-then routing based on ICP tier + intent score + trigger type.
Personalized email/call/social sequences built from account context and persona pain points.

Content and messaging:
Auto-generate first-touch, reply follow-ups, objection handling, and value propositions, etc.
Dynamic landing pages/one-pagers tailored to industry and role.

Channel execution.
Sync to CRM for campaigns, ads audiences, and sales engagement cadences.
Closed-loop learning from responses and pipeline movement.

Measurement and Continuous Learning.

Attribution and experiment design.
Multi-touch attribution (data-driven) over ads + outbound + content.
A/B/n testing of subject lines, offers, CTAs, and sequences.

Model governance.
Drift detection and auto-retraining schedules.
Explainability views for sales and operations (eg. 'Why this account now?').

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Further powered by Google Gemini 3.

Sprouts.ai leverages the cutting-edge capabilities of Google Gemini 35 to supercharge the Demand Generation lifecycle. By integrating Gemini 3’s advanced "Deep Think" and multimodal architecture, we offer distinct advantages:

Reasoning Over 'Deep Think' Standard AI matches keywords.
Gemini 3 reasons through data. It can analyze complex, unstructured signals - such as a prospect’s recent quarterly report or a nuanced technical question in a chat transcript. This can determine the true Buying Intent with a level of accuracy previously requiring human analysis. It allows Sprouts.ai to distinguish between a student researching a topic and a VP evaluating a purchase.

True Multimodality for Signal Ingestion Buying signals aren't just text.
Signals are video views, chart interactions, and webinar attendance. Gemini 3 native multimodal capabilities allow Sprouts.ai to ingest and understand these diverse data types instantly. If a prospect pauses a demo video at the "Integration" section, Gemini 3 recognizes this specific visual context and can trigger a follow-up email focusing specifically on your API capabilities.

Agentic Workflow Automation Gemini 3 powers the Orchestration agents.
Instead of rigid if-then rules, these agents can plan and execute complex tasks. For example, if a high-value prospect engages but raises a specific competitor, the Gemini-powered agent can autonomously generate a comparison one-pager, verify it against your latest internal battle cards, and draft a personalized email for your approval—all in seconds.

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Sprouts.ai 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.

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 Go-To-Market( GTM) strategy to identify strengths, uncover weaknesses, and pinpoint opportunities. Then, within a few days, a second online meeting will provide you with an 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)
  5. Pichai, S. (2025, November 18). A new era of intelligence with Gemini 3. Google The Keyword. https://blog.google/products/gemini/gemini-3/