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.
Company: Swym.ai
Website: https://swym.ai
Advertisers waste billions on low-quality programmatic ad inventory because intelligent supply filtering is manual, complex, and reactive. They're forced to spend media budgets before knowing if the impressions are worth buying, perpetuating a cycle where poor inventory floods the market while high-performing placements remain hidden.
Industries: Technology, Finance & Banking, Retail & E-commerce, Healthcare & Pharmaceuticals, Consumer Goods & CPG, Entertainment & Streaming, Automotive, Insurance & Financial Services
Company Types:
Company Size: $100M+ annual revenue, 500+ employees, with dedicated media buying teams or agency partnerships
Title: VP of Media Buying / Head of Media Operations / Programmatic Trader
Key Responsibilities:
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 Swym.ai 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 programmatic specialists" (job postings - everyone sees this)
Start: "Your win rate on NerdWallet.com dropped from 41% to 18% between July and September" (auction-level bid stream data)
PQS (Pain-Qualified Segment): Reflect their exact situation with such specificity they think "how did you know?" Use real-time auction data with specific domains, win rates, and competitive intelligence.
PVP (Permissionless Value Proposition): Deliver immediate value they can use today - analysis already done, competitive bids already pulled, supply paths already mapped - whether they buy or not.
These messages demonstrate such precise understanding of the prospect's current situation that they feel genuinely seen. Every claim traces to specific auction-level data with verifiable performance metrics.
Target insurance carriers whose bid win rates have declined significantly on high-converting comparison domains like NerdWallet, Credit Karma, or Bankrate. These domains drive policy quote requests but competitive bid dynamics shift rapidly. When win rates drop 20%+ while ad spend remains constant, they're losing valuable inventory without realizing it.
Win rate tracking is a blind spot for most media buyers - they monitor CPMs and conversions but rarely analyze why they're losing bid opportunities on specific high-value domains. By surfacing this insight with exact percentages and dollar figures tied to their media budget, you demonstrate intelligence they can't get from their DSP dashboard. The routing question makes it easy to respond.
Aggregated DSP bid stream data showing win rates by domain and advertiser across 50+ insurance campaigns, combined with public advertising spend estimates from SEC filings
If you have access to bid stream data (even as an integration partner), this play becomes highly differentiated - competitors can't replicate auction-level intelligence without similar data access.Target pharmaceutical DTC advertisers 30 days before seasonal demand windows (March allergy season, January flu season) when health/wellness publisher inventory historically degrades due to MFA site surges. They're planning Q2/Q1 campaigns but likely haven't pre-filtered supply sources for quality drops that occur every year at predictable dates.
Seasonal timing combined with specific dates and quality metrics creates urgency and credibility. By warning them about inventory degradation before it happens (with historical percentages to prove the pattern), you position yourself as a proactive partner who understands their category-specific challenges. The routing question is easy to answer and surfaces the right stakeholder.
Time-series performance data across 40+ pharma/healthcare campaigns showing domain-level quality scores, floor price trends, MFA detection rates, and conversion volatility by calendar period (Q1-Q4, holiday windows)
If you track MFA prevalence patterns over time and can correlate them with seasonal spending windows, this intelligence is impossible for competitors to replicate without similar historical campaign data.Target insurance carriers whose active supply paths have been reduced due to recent SSP M&A activity (Magnite acquiring SpringServe, PubMatic acquiring Martin). When 4+ of their SSPs consolidate into a single supply path, bid density drops and CPMs increase - but most media buyers don't connect these structural changes to their performance metrics until weeks later.
SSP consolidation creates blind spots. Media buyers see CPM increases and volume drops but often don't realize it's due to supply chain restructuring. By explicitly connecting a public M&A event to their specific performance impact (31% density drop, 18% CPM increase), you explain something they've likely noticed but couldn't diagnose. The routing question surfaces strategic planning needs.
Aggregated bid stream data showing supply path changes over time with performance correlation analysis (bid density, CPM trends) by SSP and advertiser vertical
Combining public M&A announcements with internal supply path tracking creates insights that media buyers cannot access from their DSPs alone.Target insurance carriers whose bids are consistently losing to specific named competitors (State Farm, Progressive, GEICO) on high-intent comparison domains like Bankrate, NerdWallet, or Credit Karma. By revealing the exact CPM differential and conversion volume at stake, you show them precisely where their bidding strategy is leaving quote requests on the table.
Competitive bid intelligence is extremely difficult for media buyers to obtain through normal channels. When you can tell them not just that they're losing inventory, but exactly who is beating them and at what price, you provide actionable insight they can immediately test. The conversion math (890 quote requests) helps them calculate ROI of adjusting their floor pricing.
Bid stream data showing competitive pricing by domain with conversion tracking capabilities across insurance campaigns
If you can provide head-to-head competitive bid analysis with named competitors, this is intelligence media buyers cannot replicate internally.Target pharmaceutical advertisers managing cold/flu medication campaigns in Q1 when respiratory illness publisher inventory experiences predictable quality degradation (January 10th - February 15th). Viewability scores drop 52% as MFA sites flood the market, but most advertisers don't pre-filter supply before launching campaigns.
Seasonal quality patterns are category-specific blind spots. By identifying the exact date range and quality metric (52% viewability decline), you demonstrate deep understanding of their vertical's supply dynamics. The industry waste stat ($8.3M) provides context without being the main hook, and the routing question surfaces the responsible stakeholder.
Historical quality score tracking (viewability, MFA detection, engagement metrics) during seasonal demand windows with industry-level aggregation for pharma respiratory categories
If you can identify seasonal quality degradation patterns at the category level, you provide proactive planning intelligence that competitors cannot match.These messages provide actionable intelligence before asking for anything. The prospect can use this value today whether they respond or not.
Deliver pre-analyzed competitive intelligence showing exactly which high-intent comparison domains a specific named competitor (Progressive) is winning, the conversion volume at stake, and the average winning bid prices. This is analysis work that would take the media buyer weeks to compile internally - you're delivering it ready-to-use.
Competitive bid intelligence is extremely valuable and difficult to obtain. By offering a complete analysis (47 sites analyzed, 11 domains identified, 2,400 conversion events quantified, plus Progressive's winning bid averages), you provide immediate strategic value. The low-commitment ask ("want the domain list?") makes it easy to engage without feeling like a sales pitch.
Bid stream data showing competitive win rates by advertiser and domain, combined with conversion tracking capabilities across insurance publisher inventory
If you can provide head-to-head competitive analysis with exact conversion volumes and bid prices, this is intelligence no DSP dashboard provides.Deliver a pre-filtered list of 840 health publisher domains that maintained quality scores above 7.5 during last year's March allergy season surge. This saves the pharma advertiser weeks of manual domain curation work and provides historical performance benchmarks showing 68% better conversion rates on the filtered list.
Manual domain curation is extremely time-consuming. By doing the filtering work in advance (3,200 domains analyzed down to 840 clean ones) and providing conversion performance benchmarks, you deliver immediate campaign planning value. The timing (pre-March 15th launch) makes this actionable right now. The low-commitment ask makes it easy to say yes.
Historical campaign performance data across health publisher inventory during seasonal windows (March allergy season, January flu season) with quality scoring capabilities and conversion benchmarking
If you maintain quality scores over time and can filter domains by seasonal performance, this is curation work that would take pharma advertisers weeks to complete internally.Deliver a comprehensive analysis mapping how 3 major Q4 SSP consolidations impacted a specific insurance carrier's bid distribution across 1,200 active supply paths. Show them that 67% of their insurance spend now flows through just 2 consolidated SSPs, creating concentration risk they likely haven't quantified.
Supply path concentration risk is extremely difficult for media buyers to analyze across multiple SSP consolidations. By doing the mapping work (3 consolidations tracked, 1,200 supply paths analyzed, 67% concentration calculated), you surface a strategic blind spot with specific recommendations. This is strategic planning work that would take significant internal resources.
Supply path tracking capabilities across multiple SSPs with ability to analyze consolidation impact on advertiser bid distribution and concentration analysis by vertical
If you can map supply path changes over time and quantify concentration risk, this is strategic intelligence that media buyers cannot access from DSP dashboards.Deliver granular competitive intelligence showing exactly how many times Progressive won bid opportunities on Insurify.com where the carrier also bid, the estimated conversion volume at stake (340 policy quote clicks), and Progressive's complete bid distribution strategy. This is auction-level intelligence impossible to obtain through normal channels.
Auction-level competitive intelligence with named competitors is extremely rare and valuable. By quantifying exactly how many head-to-head bid battles they lost (2,100 out of 4,800 opportunities) and the conversion opportunity cost, you provide intelligence they can't get anywhere else. The low-commitment ask makes it easy to engage.
Bid stream analysis capabilities showing head-to-head competitive bidding outcomes with publisher performance benchmarking and conversion estimation
If you have access to auction-level data across multiple advertisers, you can provide competitive intelligence that is completely unavailable through DSP dashboards.Deliver a complete pre-filtered domain list (620 publishers) that maintained 8+ quality scores during last year's January cold/flu season surge, with CPA performance benchmarks showing 43% lower cost-per-acquisition than unfiltered inventory. This is weeks of manual curation work delivered ready-to-use for Q1 campaign planning.
Manual domain filtering for seasonal campaigns is extremely labor-intensive. By pre-analyzing 620 domains with historical quality maintenance during high-demand windows and providing CPA benchmarks (43% improvement), you deliver immediate campaign setup value. Perfect timing for Q1 planning makes this actionable right now.
Historical quality score tracking (viewability, engagement, MFA detection) during seasonal demand windows with CPA performance benchmarking by domain for pharmaceutical respiratory categories
If you maintain historical quality scores and can filter domains by seasonal performance with CPA benchmarks, this is curation intelligence that saves advertisers weeks of manual work.Deliver a complete supply path diversification strategy that reduces carrier's SSP concentration from 67% (2 SSPs) to 42% (5 SSPs) by mapping 180 alternative supply paths. Include Q4 performance benchmarks showing 14% lower CPMs and 8% better viewability on the alternative paths to prove viability.
Supply path diversification planning is complex strategic work requiring weeks of internal analysis. By delivering a complete roadmap with validated alternative paths and performance benchmarks, you provide immediate strategic value. The cost savings (14% lower CPMs) and quality improvement (8% better viewability) make the business case obvious.
Supply path optimization capabilities with multi-SSP performance benchmarking and concentration risk analysis across advertiser campaigns
If you can map alternative supply paths with validated performance benchmarks, this is strategic planning work that would take carriers significant internal resources to replicate.Deliver comprehensive competitive analysis across 23 insurance comparison publishers showing exactly which 8 high-converting domains Geico is consistently winning. Quantify the conversion opportunity (4,200 auto insurance quote requests in Q4) and offer Geico's complete bid strategy analysis.
Multi-publisher competitive intelligence with named competitors is extremely difficult to compile. By analyzing 23 sites and identifying the specific 8 where they're losing to Geico, you provide actionable strategic intelligence. The conversion volume (4,200 quotes) helps them calculate opportunity cost. This is blind spot intelligence they definitely need.
Bid stream competitive analysis capabilities across insurance comparison publisher network with conversion tracking and advertiser identification
If you can track competitive bid outcomes across multiple publishers with named advertisers, this is intelligence media buyers cannot obtain from DSP dashboards.Deliver pre-filtered domain list for diabetes care campaigns (468 domains from 2,100 analyzed) that maintain quality during May-June diabetes awareness campaign surges. Provide engagement benchmarks showing 39% better performance for diabetes medication advertisers on the filtered list versus unfiltered inventory.
Category-specific domain curation for seasonal awareness campaigns saves massive manual work. By pre-analyzing 2,100 health publishers down to 468 clean domains with engagement benchmarks (39% improvement), you deliver immediate Q2 campaign planning value. Perfect timing makes this actionable right now.
Quality score tracking (engagement, viewability, MFA detection) across health publisher inventory during seasonal awareness campaigns with category-specific performance benchmarking
If you maintain quality scores by pharmaceutical category during seasonal windows, this is curation work that saves advertisers weeks of manual domain filtering.Old way: Spray generic messages at job titles. Hope someone replies.
New way: Use auction-level bid data to find advertisers in specific painful situations (declining win rates, SSP consolidation exposure, seasonal quality degradation). Then mirror that situation back to them with evidence.
Why this works: When you lead with "Your win rate on NerdWallet dropped from 41% to 18% in Q3" instead of "I see you're hiring programmatic specialists," you're not another sales email. You're the person who did the homework.
The messages above aren't templates. They're examples of what happens when you combine real auction data with specific performance insights. Your team can replicate this using the data approaches outlined in each play.
Every play traces back to verifiable data. Here are the sources used in this playbook:
| Source | Key Fields | Used For |
|---|---|---|
| Company Internal Data - Bid Stream Analysis | Win rates by domain, floor prices, competitive bids, auction density, SSP paths | Insurance win rate declines, competitive bid intelligence, SSP consolidation impact |
| Company Internal Data - Quality Scoring | Domain quality scores, MFA detection, viewability trends, seasonal patterns | Pharma seasonal inventory degradation, pre-filtered domain lists |
| Company Internal Data - Conversion Tracking | Conversion rates by domain, CPA benchmarks, engagement metrics | Performance benchmarking for filtered domain lists |
| SEC EDGAR - Pharmaceutical 10-Ks | Advertising & promotional spending, DTC revenues, fiscal year | Pharma advertiser identification and budget context |
| SEC EDGAR - Insurance 10-Ks | Advertising/marketing expenses, digital transformation investments | Insurance carrier budget context and strategic priorities |
| Public SSP Earnings Reports | M&A announcements, market share changes, partnership updates | SSP consolidation tracking and market structure analysis |
| NAIC Consumer Insurance Search | Company name, company type, state licensed, NAIC code | Insurance carrier identification and industry context |
| NAIC Financial Data Repository | Total premiums written, advertising/marketing expenses, fiscal quarter | Insurance carrier financial context and budget sizing |