Founder of Blueprint. I help companies stop sending emails nobody wants to read.
The problem with outbound isn't the message. It's the list. When you know WHO to target and WHY they need you right now, the message writes itself.
I built this system using government databases, public records, and 25 million job posts to find pain signals most companies miss. Predictable Revenue is dead. Data-driven intelligence is what works now.
Your GTM team is buying lists from ZoomInfo, adding "personalization" like mentioning a LinkedIn post, then blasting generic messages about features. Here's what it actually looks like:
The Typical Wood Mackenzie SDR Email:
Why this fails: The prospect is an expert. They've seen this template 1,000 times. There's zero indication you understand their specific situation. Delete.
Blueprint flips the approach. Instead of interrupting prospects with pitches, you deliver insights so valuable they'd pay consulting fees to receive them.
Stop: "I see you're hiring compliance people" (job postings - everyone sees this)
Start: "Your team researched copper+Chile 47x last quarter" (aggregated internal research patterns only Wood Mackenzie can see)
PQS (Pain-Qualified Segment): Reflect their exact situation with such specificity they think "how did you know?" Use data patterns with timing, intensity, and peer comparisons.
PVP (Permissionless Value Proposition): Deliver immediate value they can use today - analysis already done, peer patterns already identified, competitive timing already mapped - whether they buy or not.
These messages demonstrate Wood Mackenzie's unique competitive advantage: visibility into what 100+ sophisticated energy/metals/mining organizations are researching and how they're positioning capital. This intelligence is impossible for competitors to replicate.
Analyze the recipient's historical research patterns in Wood Mackenzie's system and correlate them with their subsequent corporate actions (acquisitions, major capex announcements). When current research intensity mirrors past patterns that preceded major deals, alert them with actionable deal intelligence.
This is genuinely predictive intelligence about the prospect's own behavior that they can't get anywhere else. By showing them "you did this exact research pattern before your Las Bambas acquisition," you're proving deep analytical sophistication and providing a mirror to their own strategic process. The timing-matched deal comps offer creates immediate actionable value.
This play requires tracking historical research patterns by client organization (commodity-geography pairs, query frequency, time periods) and correlating them with subsequent corporate actions like acquisitions or major capex announcements.
This pattern recognition across customer behavior and market timing is proprietary to Wood Mackenzie - competitors cannot replicate this play.Track when competitors evaluate the same commodity-geography pairs within close time windows (e.g., BP researches copper+Zambia 8 days before the prospect's team). Alert prospects to competitive research activity that suggests they're evaluating the same assets or facing auction scenarios.
This is competitive intelligence gold that directly impacts deal strategy and bidding decisions. Knowing that BP is researching the same assets 8 days before you helps executives anticipate auction competition, adjust bidding strategy, and prioritize due diligence. The alert service offer provides ongoing value that makes Wood Mackenzie indispensable for M&A teams.
This play requires tracking research activity timing across client organizations and identifying when competitors evaluate similar opportunities within close time windows (e.g., 7-30 days).
This competitive timing intelligence is only visible to Wood Mackenzie - no competitor can provide early warning of rival deal activity.Identify when multiple competitors within the same peer group dramatically increase research intensity on the same commodity-geography pair (e.g., 400%+ spike in lithium+Argentina queries). Alert prospects to emerging deal hotspots before public announcements, showing which plays are getting crowded.
This is actionable competitive intelligence that helps executives avoid overpaying in crowded auctions and prioritize deal timing. The 60-90 day lead time before announced deals gives strategic teams a window to position themselves or pivot to less competitive opportunities. The heatmap offer provides ongoing visibility into market dynamics.
This play requires aggregating anonymized research usage patterns across peer group clients to identify commodity-geography pairs experiencing sudden attention spikes (e.g., 300%+ increase in query frequency within 30 days).
This aggregated peer intelligence is unique to Wood Mackenzie's position serving 100+ major energy/mining companies - impossible for competitors to replicate.Cross-reference public capex announcements with policy incentive deadlines (IRA Section 45Q) and Wood Mackenzie's project timeline models to identify when companies are at risk of missing critical incentive windows. Calculate specific financial impact (% of incentive window lost) and provide acceleration scenarios.
This creates real urgency by quantifying financial risk from timing delays. The specific calculation of capture potential (1.2M tons annually) and the 2033 deadline makes this immediately actionable for CFOs and strategy teams. Showing competitor timelines (Exxon, Chevron) proves the prospect is behind on a time-sensitive opportunity. The acceleration scenarios provide exactly what executives need for board discussions.
This play combines public capex announcements with Wood Mackenzie's proprietary policy analysis, project timeline modeling, and competitor benchmarking to calculate specific financial risk from timing delays.
The synthesis of policy requirements, project economics, and competitive positioning is unique to Wood Mackenzie's analytical capabilities.Combine public capex announcements with Wood Mackenzie's proprietary peer classification to show when companies are taking aggressive or lagging positions on specific energy transition technologies (offshore wind, hydrogen, CCUS). Frame both upside (first-mover advantages) and risk (execution challenges, supply chain constraints).
The 2x comparison is striking and immediately positions the conversation around strategic choice rather than judgment. By acknowledging both first-mover advantages AND execution risk, you demonstrate sophisticated understanding of strategy tradeoffs. The supply chain risk callout is timely given current offshore wind bottlenecks. Scenario models are exactly what executives need for board-level capital allocation discussions.
This play combines public capex data with Wood Mackenzie's proprietary peer group classification, supply chain risk models, and policy scenario forecasting to provide strategic positioning context.
The balanced framing of first-mover advantages vs execution risk demonstrates Wood Mackenzie's analytical sophistication beyond simple benchmarking.Identify when competitors dramatically increase research intensity on a commodity-geography pair while the prospect's team shows no corresponding activity spike. Alert them to emerging opportunities they might be missing, with specific project-level intelligence available.
The competitive intelligence ("five firms spiked lithium-Australia research 340%") combined with the urgency framing ("you might be missing an emerging opportunity window") creates immediate FOMO. This helps executives avoid being late to market moves that competitors are already evaluating. The specific projects offer makes this immediately actionable.
This play requires aggregating anonymized research usage patterns across peer group competitors to identify emerging hotspots, then comparing against the recipient's research activity to identify gaps.
This competitive gap analysis is unique to Wood Mackenzie's visibility across 100+ major energy/mining companies.Track which commodity-geography pairs individual client organizations research most intensely (e.g., 47 queries in one quarter). High intensity typically signals early-stage M&A diligence or major capex evaluation. Offer to alert them when competitors spike research on the same plays.
This reveals strategic focus areas before public announcements, showing Wood Mackenzie sees internal planning processes. The inference that high intensity signals M&A diligence demonstrates pattern recognition across customer behavior. The competitor intel offer provides ongoing value by helping executives understand when their strategic priorities are shared by rivals.
This play requires tracking which client organizations access which commodity-geography research reports and identifying usage intensity patterns that typically precede strategic decisions.
This visibility into customer strategic planning processes is unique to Wood Mackenzie's platform usage data.Compare public project timelines across competitors for emerging technologies (floating offshore wind) to identify specific timeline gaps that create first-mover pricing power or market disadvantages. Offer timeline compression analysis showing where acceleration is possible.
The specific competitor comparison with exact timeline delta (18 months) makes the strategic disadvantage tangible and urgent. First-mover advantage framing creates strategic pressure without being accusatory. The timeline compression analysis provides actionable intelligence for project teams and helps executives make the case for acceleration to leadership.
This play combines public project timelines with Wood Mackenzie's proprietary competitive positioning analysis and project acceleration scenario modeling to identify strategic timing risks.
The synthesis of competitive timing intelligence with actionable acceleration pathways is unique to Wood Mackenzie's analytical capabilities.Track when client organizations dramatically reduce research intensity on commodity-geography pairs after sustained high activity (e.g., 90% drop in rare earth elements research after Q3 peak). Sudden stops typically signal either deal completion or strategic pivot. Offer competitive redirect intelligence if they pivoted.
This demonstrates sophisticated tracking that notices research activity DROPS, not just spikes. The two interpretations (deal done or pivot) show strategic thinking about what drives behavior change. The competitor redirect offer is useful if they pivoted away from an opportunity, helping them understand where peers moved instead.
This play requires tracking research activity trends over time to identify sudden drops that signal strategic shifts (deal completion, pivot decisions), then analyzing where peer competitors redirected focus.
This longitudinal behavior analysis and peer comparison is unique to Wood Mackenzie's visibility across customer strategic planning.Combine public capex announcements with Wood Mackenzie's proprietary peer classification and technology type categorization to show where companies rank in energy transition capital spending by specific technology (hydrogen, offshore wind, CCUS). Offer full benchmarking breakdown by technology type.
The specific percentile ranking (40th) with exact dollar figure creates immediate context for strategic positioning. Naming specific competitors (Shell, BP, TotalEnergies) at 75th percentile makes it credible and creates competitive pressure. The technology breakdown offer is useful for portfolio allocation decisions and board discussions about where to deploy capital.
This play combines public capex announcements with Wood Mackenzie's proprietary peer group classification and benchmarking methodology to provide percentile rankings by technology type.
The synthesis of public data with proprietary peer classification and technology categorization is unique to Wood Mackenzie's analytical framework.Old way: Spray generic messages at job titles. Hope someone replies.
New way: Use aggregated customer behavior data to identify who's evaluating which opportunities RIGHT NOW. Then mirror that intelligence back with competitive context.
Why this works: When you lead with "Your team researched copper+Chile 47 times last quarter - 3x more than any other commodity-geography pair" instead of "I see you're focused on growth opportunities," you're not another sales email. You're the person who sees patterns they didn't know were visible.
The messages above aren't templates. They're examples of what happens when you combine internal customer behavior data with competitive peer analysis. Your team can replicate this using the data capabilities and synthesis approaches outlined in each play.
Wood Mackenzie's unique advantage: You serve 100+ sophisticated energy/metals/mining organizations. That gives you visibility into what smart money is researching, when competitive activity clusters around opportunities, and how peer institutions position capital. No competitor can replicate this aggregated intelligence - it only exists because of your customer base.
Every play traces back to Wood Mackenzie's unique data capabilities. Here are the sources that enable these intelligence plays:
| Source Type | Key Data | Used For |
|---|---|---|
| Internal Customer Research Logs | Query frequency, commodity-geography pairs, timestamps, user organization | Identifying research intensity patterns, strategic focus areas, competitive activity clustering |
| Historical Corporate Action Database | M&A announcements, major capex decisions, timing correlation with research patterns | Correlating research patterns with subsequent deal activity, predictive intelligence |
| Peer Group Classification | Market cap, strategic focus, deal history, technology positioning | Benchmarking capital allocation, identifying competitive peer sets |
| Public Capex Announcements | Investment amounts, project timelines, technology types, geographic focus | Competitive positioning analysis, percentile rankings, timeline gap identification |
| Policy & Incentive Database | IRA Section 45Q requirements, regulatory deadlines, carbon pricing proposals, renewable mandates | Identifying policy incentive deadline risks, quantifying financial impact of timing delays |
| Project Timeline Models | Construction duration, permitting timelines, supply chain constraints, competitor project pace | Acceleration scenario modeling, first-mover advantage analysis, execution risk assessment |
Critical insight: The most powerful plays combine internal customer behavior data with public market information. For example: tracking which commodity-geography pairs competitors research (internal) + their public capex announcements = predictive intelligence about where deals will happen before public announcements.