tier-1-account-list-building
This skill should be used when the user asks to "build a Tier 1 account list", "create a named account list", "build a target account list for ABM", "select my top accounts", "pick my named accounts", "build a strategic account list", "identify our best-fit accounts", "curate a Tier 1 list", or any variation of building a short, high-conviction list of named accounts for 1-to-1 or high-touch ABM in B2B SaaS.
Tier-1 Account List Building
A Tier 1 list is 5-15 named accounts that get full 1-to-1 ABM treatment. Every account on this list should be worth a meaningful percentage of your quarterly target. If the list has 30 accounts on it, it's not Tier 1. It's a segment with a Tier 1 label.
What Makes an Account Tier 1
An account earns Tier 1 when it passes all four criteria:
| Criterion | Threshold | Why it matters |
|---|---|---|
| Deal size potential | ≥ 5x average ACV | 1-to-1 ABM costs $1,000-5,000 per account. The deal must justify the spend |
| ICP fit score | Top decile of your ICP scoring model | Tier 1 accounts should be the best possible fit, not just "good enough" |
| Active signal | At least one Tier 1 signal in the last 90 days | Without urgency, even perfect-fit accounts don't convert on ABM timelines |
| Accessible committee | ≥ 3 identified contacts across 2+ functions | Can't run 1-to-1 ABM if you can't reach the buyers |
If an account fails any single criterion, it's Tier 2 at best. Tier 1 is a high bar by design. Lowering the bar dilutes the investment and the results.
The Build Process
Step 1: Generate the long list (50-100 candidates)
Start wide. Pull candidate accounts from multiple sources and merge into one list before filtering.
Source priority order:
| Source | Why it's first | Expected yield |
|---|---|---|
| CRM closed-lost (last 12 months) | Known pain, known contacts, known objections. Highest-quality starting point | 5-15 candidates |
| CRM stalled opportunities | Deals that went dark. May reactivate with a new signal or angle | 3-10 candidates |
| Customer look-alikes | Model your top 10 customers by firmographics, technographics, and use case. Find twins | 10-20 candidates |
| Intent data (6sense, Bombora, G2) | Accounts actively researching your category or competitors | 10-30 candidates |
| Sales team nominations | Reps know accounts they've been prospecting or hearing about | 5-15 candidates |
| Inbound engaged accounts | Visited pricing page, attended webinar, downloaded content but didn't convert | 5-10 candidates |
| LinkedIn Sales Nav saved searches | ICP-matched accounts with recent activity | 10-20 candidates |
| Competitor customer lists | G2 reviews, case studies, integration directories of competitors | 5-15 candidates |
Long list rules:
- Deduplicate across sources. The same account appearing in 3+ sources is a positive signal. Note the overlap
- Remove existing customers. Obvious but missed often when pulling from multiple systems
- Remove accounts with active open opportunities. ABM and live deals running simultaneously creates confusion. Let the deal play out
- Remove accounts in active competitor contracts with 12+ months remaining (if knowable). Timing isn't right for ABM. Add to long-term nurture
- Target 50-100 candidates. Below 50 means you're being too narrow too early. Above 100 means your sources are too broad
Step 2: Score and rank (100 → 30)
Apply a scoring model to cut the long list in half. Score on three dimensions.
Dimension 1: Fit score (0-30 points)
| Factor | 0 | 10 | 20 | 30 |
|---|---|---|---|---|
| Company size | Outside range | Edge of range | Mid-range | Sweet spot |
| Industry | Adjacent vertical | Relevant vertical | Core vertical, some usage | Core vertical, proven use case |
| Tech stack | Incompatible | Partially compatible | Compatible, no integration yet | Uses tools you integrate with |
| Deal size potential | 1-2x ACV | 2-3x ACV | 3-5x ACV | 5x+ ACV |
Dimension 2: Signal score (0-30 points)
| Factor | 0 | 10 | 20 | 30 |
|---|---|---|---|---|
| Signal tier | No signal | Tier 3 only | Tier 2 signal | Tier 1 signal |
| Signal recency | > 6 months | 3-6 months | 1-3 months | Last 30 days |
| Signal stacking | None | 1 signal | 2 signals | 3+ signals from different categories |
Dimension 3: Accessibility score (0-20 points)
| Factor | 0 | 5 | 10 | 20 |
|---|---|---|---|---|
| Contacts identified | 0-1 | 2 | 3-4 | 5+ across 2+ functions |
| Prior relationship | None | Weak (same event, same community) | Mutual connection | Direct connection or prior engagement |
| LinkedIn activity | Dark profiles | Occasional | Active | Frequent poster on relevant topics |
Total: 80 points possible. Rank all candidates by score. Take the top 30.
Step 3: Deep-qualify (30 → 10-15)
The scoring model gets you to 30. Human judgment gets you to 10-15. This step requires marketing and sales leadership together.
For each of the top 30, answer:
- Is the signal real? Verify the signal hasn't expired. A funding round announced 6 months ago with no subsequent hiring may have been a bridge round, not a growth round
- Can we win? Is there an incumbent? Are they happy with it? Is a competitor already in a deal here? If yes, what's your realistic angle?
- Is the timing right? Even with a signal, some accounts are in planning mode (H2 budget planning) or freeze mode (post-layoff). Will the buying window be open in the next 90 days?
- Do we have an angle? Can you articulate in one sentence why this account should talk to you, referencing something specific about them? If not, you don't have an angle yet
- Is there organizational will? Does your sales team want to work this account? Does the AE have capacity? An ABM account that nobody on the sales side will follow up on is a wasted investment
Disqualify if:
- Signal is stale (> 90 days with no secondary signal)
- An entrenched competitor with a happy customer (confirmed via G2 reviews or rep intel)
- ACV potential < 3x average after deeper analysis
- Zero accessible contacts after enrichment attempts
- No AE willing to own the account
Target: 10-15 accounts. This is your Tier 1 list. If you can't cut to 15, you're not being selective enough.
Step 4: Enrich each account
For every account that makes the Tier 1 list, build a light account brief before campaign launch. This is not the full deep dive (see account-research-deep-dive skill). It's the minimum viable research.
Per-account enrichment checklist (15-20 min each):
- [ ] Company snapshot confirmed (size, stage, funding, vertical)
- [ ] Problem hypothesis written (one paragraph)
- [ ] Top signal documented with source and date
- [ ] 3-5 buying committee contacts identified with LinkedIn URLs
- [ ] Champion candidate identified with personalization token
- [ ] Economic buyer identified
- [ ] Incumbent/competitive tool noted
- [ ] Recommended outreach angle written (2 sentences)
List Composition Rules
Diversification
Don't put all Tier 1 accounts in one basket.
- Industry mix: No single vertical should exceed 40% of the Tier 1 list. If all 10 accounts are fintech, a fintech downturn wipes your pipeline
- Size mix: Include a range of company sizes within your ICP. Don't exclusively target the largest companies. Mid-range accounts close faster
- Signal mix: Don't build the list entirely around one signal type (all funding rounds, all leadership changes). Diversify signals to diversify timing
- Geography mix: If you sell across regions, represent each region. Territory reps need accounts to work
Concentration
Some concentration is intentional and good.
- Cluster overlap: If 5 Tier 1 accounts share a trait (same vertical + same stage), you can run a combined 1-to-few surround campaign while still giving each account 1-to-1 outreach. Efficient budget use
- Event alignment: If 3 Tier 1 accounts will be at the same conference, that's a concentration advantage. Plan meetings, dinners, and in-person touches around the event
Governance
Who owns the list
| Stakeholder | Role | Decision rights |
|---|---|---|
| Marketing (ABM lead) | Builds the list, runs the scoring model, manages the surround campaign | Proposes the list. Owns the methodology |
| Sales leadership (VP/Director) | Validates accounts, assigns AEs, commits to follow-through | Approves or rejects accounts. Cannot add accounts without data justification |
| AEs / Account owners | Provide field intel, own direct outreach, run meetings | Can flag accounts as wrong-fit. Cannot unilaterally add accounts |
| RevOps | Maintains scoring model, provides data, tracks results | Maintains the infrastructure. Resolves data conflicts |
Governance rules:
- Marketing proposes. Sales approves. Neither can unilaterally set the list
- "My VP wants us to target [logo]" is not a valid addition without scoring data. Political additions get scored like every other candidate. If they pass, great. If not, document why and present the data
- Quarterly list review is mandatory. Remove accounts that completed campaigns with no engagement. Add new candidates that surfaced since the last review
- Changes between reviews require agreement from both marketing and sales. No silent additions or removals
List lifecycle
| Event | Action | Timing |
|---|---|---|
| Initial list build | Full process (Steps 1-4) | Once per quarter |
| Mid-quarter review | Check signal freshness, remove zero-engagement accounts, add 1-2 new candidates | Month 2 of quarter |
| End-of-quarter review | Full results analysis. Which accounts converted? Which didn't? Why? Inform next quarter's list | Last week of quarter |
| Account completes campaign with no engagement | Remove from Tier 1. Move to Tier 2 or nurture. Do not recycle to Tier 1 for 6 months | As campaigns complete |
| New high-value signal on a non-listed account | Fast-track through scoring. Add to Tier 1 if it passes all 4 criteria | As signals arise |
Common List-Building Mistakes
| Mistake | Why it fails | Fix |
|---|---|---|
| List of 30+ accounts labeled "Tier 1" | Resources spread too thin. No account gets true 1-to-1 treatment | Hard cap at 15. Move the rest to Tier 2 |
| Built entirely from sales nominations | Political bias. Logo-chasing. No data backing | Nominations are one source. Run every nomination through the scoring model |
| Built entirely from intent data | High false-positive rate. Intent without fit = wasted effort | Layer intent on top of ICP fit. Never use intent as the sole selector |
| No signal requirement | List is full of "someday" accounts with no urgency | Require at least one Tier 1 or Tier 2 signal. No signal, no Tier 1 |
| Never refreshed | Signals decay. Contacts leave. Priorities shift | Quarterly rebuild. Mid-quarter signal check |
| Same list recycled quarter after quarter | If they didn't engage in Q1, repeating the exact same play in Q2 won't work | Change the angle, the signal, or the account. Repeating failed plays is not persistence, it's waste |
| No AE assignment | ABM generates surround + outreach but nobody follows up on meetings | Every Tier 1 account must have a named AE who has agreed to own it before the campaign starts |
Measuring List Quality
Track these after each quarterly cycle:
| Metric | Good | Acceptable | Poor |
|---|---|---|---|
| Engagement rate (% of Tier 1 accounts with any response) | > 50% | 30-50% | < 30% |
| Meeting rate (% of Tier 1 accounts with a meeting booked) | > 25% | 15-25% | < 15% |
| Opportunity rate (% of Tier 1 accounts with an opp created) | > 15% | 8-15% | < 8% |
| Pipeline per account | > $100K (if avg ACV ~$50K) | $50-100K | < $50K |
| Cost per meeting | < $500 | $500-1,500 | > $1,500 |
If engagement rate is below 30%, the list is wrong. Don't blame the campaign. Fix the selection.
Anti-Pattern Check
- Tier 1 list has 25 accounts. That's Tier 2 with a Tier 1 label. Cut to 15 or admit it's 1-to-few
- Every account on the list is a Fortune 500 logo. Logo prestige doesn't equal deal probability. Score on fit and signal, not brand
- The list hasn't changed in 3 quarters. Markets move. Signals expire. A static list is a stale list
- No account on the list has a signal less than 90 days old. The list is cold. Refresh signals or replace accounts
- AEs weren't consulted during list build. They won't follow up on accounts they didn't agree to own. Joint ownership or it fails
- The list was built in a spreadsheet and never loaded into CRM. If it's not in the system, it doesn't get tracked, reported, or actioned. Load it Day 1
- Every account is in the same vertical. One vertical downturn = entire Tier 1 pipeline gone. Diversify
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