ALMA HUNTER / YOUR QUALIFICATION GUIDE

Clear inputs. Defensible decisions.

The original Alma Hunter preparation journey and shared definitions—now connected to your Prestige onboarding and private workspace.

ONE CONNECTED PROCESS

Start with your offer.
Keep the evidence attached.

The Six-Layer Sales Method is the buyer-facing structure. These detailed checks are evidence subchecks within those six layers—not a competing seven-step method. The guide checks and workspace dimensions map to ICP/business fit, positive customer ROI, technical fit, intent to buy, timing, and the decision team plus positioning. A public signal is a research clue, not proof of budget, authority or intention.

Build my research brief See the six-layer sales method

Onboarding prepares a reviewable brief. It does not start outreach, enrich contacts, purchase a service or launch a research job.

DETAILED EVIDENCE SUBCHECKS FOR THE SIX LAYERS

From account context
to a responsible next move.

01

Account profile fit

Industry, business model, channel, and relevant company profile.

What must we know?
  • Industry and category. Matches the approved industry, subcategory, or operating context in the ICP.
  • Business model. Has the customer, revenue, and delivery model relevant to the proposed product.
  • Channel and market. Operates in the geography, channel mix, and market scope the profile permits.
  • Account identity. The company is distinct, tenant-scoped, and not a duplicate product evaluation.

Evidence standard: Use a retained account record or a source-backed profile fact. Do not infer a profile match from a similar-looking brand.

Hold when: Hold when a mandatory profile field is absent, conflicts with the ICP, or cannot be attributed to a source.

02

Peer benchmarking

Compare AOV, purchase frequency, and relevant economics to a defined cohort.

What must we know?
  • Cohort definition. Peer group, geography, channel, time window, and metric definitions are specified before comparison.
  • Economic metric fit. AOV, purchase frequency, retention, or another metric is relevant to the selected product mechanism.
  • Comparator quality. Ranges are treated as comparators, with observed account facts kept separate from estimates.
  • Range treatment. Threshold decisions use the defined range and do not cherry-pick a midpoint.

Evidence standard: Record the cohort, observation window, and whether each input is observed, benchmark-assisted, or estimated.

Hold when: Hold when there is no comparable cohort, the metric is undefined, or the account result cannot be distinguished from a benchmark assumption.

03

Economic case

Check whether a credible value mechanism and upside hypothesis exist.

What must we know?
  • Value mechanism. States how the product could affect revenue, retention, conversion, efficiency, or another explicit commercial lever.
  • Reach and adoption. Identifies the relevant eligible population and a bounded adoption or activation assumption.
  • Contribution and cost. Includes margin, implementation, operating cost, and horizon where material to the decision.
  • Sensitivity. Shows which uncertain inputs most affect the outcome rather than presenting a single unsupported ROI number.

Evidence standard: Use an attributable assumption set and label estimates. A preliminary model is not a customer-validated business case.

Hold when: Hold when the value mechanism is vague, material assumptions are hidden, or a required input is outside an approved estimate policy.

04

Technical & operational fit

Review stack compatibility, implementation conditions, channels, and operating constraints.

What must we know?
  • Stack compatibility. Required systems, integrations, data flows, or ecosystem dependencies appear feasible.
  • Channel coverage. The account operates in the channels where the product can create the proposed value.
  • Implementation conditions. Operational ownership, capabilities, and likely delivery constraints are considered before recommendation.
  • Access and rights. Data access, permissions, and customer rights are sufficient for the intended use case.

Evidence standard: Keep technical observations separate from confirmed implementation commitments and cite the source or customer-provided context.

Hold when: Hold when a required integration, access right, channel, or operating capability is absent or unknown.

05

Research & evaluation signals

Consider documented vendor evaluation, expansion, hiring, initiatives, or technology change.

What must we know?
  • Signal provenance. Each material signal has a source, capture date, and concise description of what was actually observed.
  • Relevant change. The event connects plausibly to the selected product mechanism rather than a generic activity metric.
  • Recency and context. Timing, scope, and whether the event is active, historical, or speculative are stated.
  • Conflict review. Conflicting evidence, uncertainty, and alternate explanations are recorded instead of being silently discarded.

Evidence standard: Treat signals as research inputs. They may prioritize a question for buyer discovery but do not establish purchase intent.

Hold when: Hold when the signal is unattributed, stale, unrelated to the use case, or contradicted by stronger evidence.

06

Need & timing

Connect a supported business need to a plausible compelling event or planning horizon.

What must we know?
  • Business need. A specific operational or commercial problem is plausible for the account and relevant to the product.
  • Compelling event. An expansion, launch, budget cycle, leadership change, project phase, or other event may create a time-bound reason to explore.
  • Planning horizon. The possible action window is stated with uncertainty—such as a next-six-month research hypothesis—not asserted as a committed purchase date.
  • Actionability. The team can name a useful next question or research step rather than routing an unexplained timing score to sales.

Evidence standard: Retain the source and limitation for both the need hypothesis and the event. They must be distinguishable from intent claims.

Hold when: Hold when there is no relevant need, no plausible timing context, or no responsible next action beyond generic outreach.

07

Commercial readiness

Make need and timing explicit while budget and authority are clarified through buyer engagement.

What must we know?
  • Need and timing. The evidence-led need hypothesis and timing context are documented for a buyer conversation.
  • Budget status. Budget is labeled unknown, inferred, or confirmed; it is not represented as confirmed before buyer engagement.
  • Authority status. Likely stakeholders may be mapped, while actual authority remains subject to confirmation with the account.
  • Next action. A recommended research or conversation step is specific, appropriate, and reviewable before outreach.

Evidence standard: Preserve the distinction between research context and buyer-validated qualification. Route only with a visible evidence and limitation trail.

Hold when: Hold when the recommended action is unsupported, the evidence trail is incomplete, or commercial facts are presented as confirmed without buyer validation.

SHARED DEFINITIONS

Plain English.
Not mystery scores.

Examples are hypothetical. Model-specific terms—such as loyalty rewards or order value—apply only when that mechanism actually fits your product.

11 of 11 definitions

Customer minimum

The threshold that you, the seller, decide an account must satisfy before pursuing it.

Why it matters & an example

Why it matters: It reflects your software economics and deal size, rather than what an industry typically achieves.

Hypothetical example: Setting minimum average order value at $85 because your annual contract value requires a substantial transaction base.

Effect on your brief: An account must clear this threshold or remain in review. A high overall score cannot override a hard customer minimum.

Observed account value

A metric directly captured from a retained source, or an explicitly permitted documented estimate for that specific company.

Why it matters & an example

Why it matters: It grounds the sales conversation in facts that can be defended in discovery.

Hypothetical example: A verified cart checkout showing an observed $102–$118 range on the brand's owned ecommerce store.

Effect on your brief: Compared directly against your minimum and the peer range. The lower bound must satisfy a hard minimum.

Comparable businesses (peer benchmark)

A reference range from similar companies in the same market, channel, and price tier.

Why it matters & an example

Why it matters: It provides context for what is typical without pretending to be the prospect's private financial data.

Hypothetical example: A Beauty DTC cohort showing peer purchase frequency between 3.4 and 4.1 purchases per year.

Effect on your brief: Identifies potential improvement areas, but missing account data cannot be turned into a measured peer gap.

Order value and purchase frequency

How much an account's customers spend per transaction, and how often they return in a stated time period.

Why it matters & an example

Why it matters: These describe the target account's own customers—never to be confused with your software's contract value.

Hypothetical example: A customer spending $95 per order twice a year yields $190 in annual customer spend before software impact.

Effect on your brief: Acts as the starting economic baseline for retention, loyalty, and basket-growth software products.

Potential improvement area

A metric where the account's customers appear to purchase less or spend less than comparable businesses.

Why it matters & an example

Why it matters: Focuses your outreach on an observable business case rather than generic feature pitches.

Hypothetical example: An account with strong order value but low purchase frequency points toward a retention or replenishment opportunity.

Effect on your brief: Provides an investigation clue. It does not guarantee positive ROI or prove an internal operational problem.

Can this product reach and measure the relevant customers?

A check that the seller's software can access, influence, and measure the prospect's actual purchasing customers.

Why it matters & an example

Why it matters: Direct-to-consumer software needs customer identity; indirect-sales software needs receipt or partner data.

Hypothetical example: A receipt-scan cashback program works through grocery receipts; it does not require an owned retail store.

Effect on your brief: A mandatory gate. If a product cannot reach the account's buyers through supported channels, the account is held.

One account, evaluated for multiple software opportunities

A single company identity evaluated separately for different software products without duplicating records.

Why it matters & an example

Why it matters: Prevents duplicate research charges and preserves different qualification outcomes for different products.

Hypothetical example: An account might pass for personalized recommendations but stay Needs information for subscription replenishment.

Effect on your brief: Preserves one canonical account identity with independent product-specific fit decisions and reports.

Define Your Ideal Customers

The saved profile where you specify your product, target industries, commercial model, economics, and evidence policy.

Why it matters & an example

Why it matters: Ensures every search uses your explicit criteria rather than an opaque black-box algorithm.

Hypothetical example: Saving a Beauty DTC profile with $85 minimum AOV, 3.0 purchase frequency, and benchmark-assisted policy.

Effect on your brief: Approved versions become immutable snapshots when a hunt is created. Later edits do not alter past hunts.

Qualify Your CRM

Evaluating accounts you already own to identify which ones have a business case for your software.

Why it matters & an example

Why it matters: Separates strong accounts from poor fits in your existing pipeline before launching expensive outreach.

Hypothetical example: Importing a 500-account tier-1 account list to discover which 80 have supported customer economics.

Effect on your brief: Runs through the same qualification gates. In this preview, CRM records are read-only and outreach remains draft-only.

Evidence or nothing

Alma's delivery standard: every material claim must be verified from a source or labeled as an explicit assumption.

Why it matters & an example

Why it matters: Protects sales teams from pitching unsupportable claims that damage credibility with executive buyers.

Hypothetical example: If subscription capabilities are not found in reviewed sources, Alma reports 'Unknown', not 'No subscription.'

Effect on your brief: Ensures accounts with missing mandatory evidence are held for review, rather than silently approved.

Unrounded 7.0 delivery floor

The requirement that an opportunity's overall score must be 7.00 out of 10 or higher without rounding.

Why it matters & an example

Why it matters: Prevents marginal candidates from being pushed across the threshold by mathematical rounding.

Hypothetical example: A score of 6.99 is held or rejected; it does not round up to 7.0.

Effect on your brief: Acts as a non-negotiable platform floor. Individual profiles may set a higher floor, but never lower than 7.0.