Most cold outreach programs fail at the same point: they email the wrong people.
Not wrong in an obvious way. The prospects might fit a loose description of the target market. They work at companies in the right industry, with roughly the right headcount, in approximately the right geography. But "approximately right" produces approximately terrible results.
The difference between a 1% reply rate and a 6% reply rate on cold email is almost never the copy. It is the list. And the difference between a mediocre list and a great one comes down to scoring.
Here is how the typical B2B outreach team builds a list:
1. Pick a broad category: "SaaS companies, 50-500 employees" 2. Export 5,000 contacts from a data provider 3. Drop them into a sequence 4. Wonder why the reply rate is 0.8%
The problem is that "SaaS companies, 50-500 employees" is a market segment, not an ideal customer profile. Within that segment, maybe 5-10% of companies are genuinely good fits for what you sell. The other 90% are noise that dilutes your metrics, wastes your sending reputation, and trains inbox providers that your emails are not worth delivering.
A real ICP is a scored model. Every prospect gets evaluated across multiple dimensions before a single email goes out.
At OnyxSend, we score every prospect across four weighted dimensions. Each dimension gets a 0-25 point score, totaling 0-100.
Revenue fit answers one question: can this company afford what we sell, and is the price point proportional to the value they would get?
Signals to evaluate: - Annual revenue or funding stage (publicly available for many companies) - Team size and growth rate (more employees usually means more budget) - Tech stack investment (companies spending on adjacent tools are more likely to invest in yours) - Pricing page analysis (if they charge premium prices, they likely have budget for premium tools)
Scoring example: - Revenue > $5M or Series B+: 25 points - Revenue $1-5M or Series A: 20 points - Revenue $500K-1M or Seed: 15 points - Revenue < $500K or bootstrapped: 10 points - Cannot determine: 8 points
The specific thresholds depend on your product's price point. A $500/month tool has different revenue fit criteria than a $5,000/month platform.
Pain alignment measures how well the prospect's current situation maps to the problem you solve. A perfect revenue fit means nothing if the company does not have the pain you address.
Signals to evaluate: - Job postings (hiring for roles your product replaces or augments) - Content published by their team (blog posts, tweets, LinkedIn posts about the problem you solve) - Technology gaps (using manual processes or outdated tools in the area you serve) - Competitor usage (using a competitor indicates awareness of the problem; you just need to prove you are better)
Scoring example: - Actively hiring for roles your product replaces: 25 points - Published content about the exact problem you solve: 22 points - Using a direct competitor: 20 points - Using adjacent tools but not solving this specific problem: 15 points - No visible signals: 5 points
Budget indicators go beyond revenue fit to assess whether the company is actively spending on solutions in your category.
Signals to evaluate: - Current tool stack (companies paying for 5+ SaaS tools are conditioned to buy software) - Recent funding (fresh capital means buying power) - Growth trajectory (growing companies invest in infrastructure) - Organizational maturity (companies with dedicated ops roles have budget for tooling)
Scoring example: - Funded in the last 6 months: 25 points - Using 3+ tools in adjacent categories: 22 points - Growing headcount by 20%+ YoY: 20 points - Has dedicated ops/RevOps role: 18 points - Minimal tool adoption: 8 points
Accessibility measures how easy it is to reach and engage the right person at this company. A perfect-fit company is worthless if you cannot get to the decision maker.
Signals to evaluate: - Contact information quality (verified email vs. guessed pattern) - Social presence (active on Twitter/LinkedIn where you can research them) - Company size (smaller companies are easier to reach; enterprise has more gatekeepers) - Previous interactions (have they visited your site, opened a previous email, engaged with your content?)
Scoring example: - Verified email + active social presence + small team: 25 points - Verified email + some social presence: 20 points - Pattern-matched email + limited social presence: 15 points - Only generic company email available: 8 points - No contact information: 0 points
Once every prospect is scored, you need a cutoff. This is the minimum score required before a prospect enters your email sequence.
Our recommended thresholds: - Score 75-100: Send immediately. These are your best prospects. - Score 60-74: Send, but in the next batch. Good prospects that warrant outreach. - Score 40-59: Hold. Research further before deciding. Some of these will move up after deeper research. - Score 0-39: Do not email. These prospects are not worth the sending reputation risk.
The math is straightforward. Sending to 200 prospects with scores above 75 produces more meetings than sending to 1,000 prospects with scores above 40. And it does far less damage to your deliverability.
Manual ICP scoring does not scale. Researching 10 signals across 4 dimensions for 500 prospects would take a human researcher weeks.
The practical approach:
Automated first pass: Use data enrichment tools to pull firmographic and technographic data. This covers revenue fit and budget indicators with reasonable accuracy.
Research-enhanced scoring: For prospects that pass the first filter, do deeper research. Visit their website. Read their recent content. Check their job postings. This fills in pain alignment and refines accessibility.
Continuous refinement: Track which score ranges produce the best reply rates and meeting conversions. Adjust weights accordingly. Your scoring model should get smarter every month.
OnyxSend automates this entire pipeline. Every prospect gets scored across all four dimensions using automated research and enrichment before any email is drafted. Prospects below your configured threshold never enter a sequence, protecting your sender reputation and keeping your team focused on the highest-probability opportunities.
Good ICP scoring creates a virtuous cycle:
1. You email only well-matched prospects 2. Reply rates go up because the message resonates 3. Higher reply rates improve your sender reputation 4. Better sender reputation means more emails reach the inbox 5. More inbox placement means even higher reply rates
The opposite is also true. Email poorly scored prospects, get low replies, damage your reputation, and watch deliverability spiral downward.
Scoring is not just a targeting exercise. It is a deliverability strategy, a time management strategy, and a revenue strategy all in one.
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Ready to score prospects automatically? See our pricing or request access to get started with OnyxSend.