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#b2b sales

Articles tagged b2b sales.

Flat illustration of the true cost of a B2B lead list — a price tag resolving into four stacked cost blocks labelled sourcing, hours, decay, and waste, beside three route columns for build-it-yourself, buy a database, and done-for-you, indigo palette, Nam
Sales Prospecting

How Much Does a B2B Lead List Actually Cost? Build vs Buy vs Done-for-You

Ask three vendors what a lead list costs and you'll get three numbers that aren't comparable. The sticker price is only one of four costs — the others are hours, decay, and waste, and they're usually larger. Here's how to price all four, compare the three real routes, and run the arithmetic on your own numbers.

NameToProfile Team7 min read
Flat illustration of B2B data decay — a CRM record grid with some rows fading and flagged stale (job change, acquisition, funding, relocation icons), and a refresh-cadence panel showing fields with different refresh intervals, indigo palette, NameToProfil
Lead Data Enrichment

How Often Does B2B Data Go Stale? A CRM Data-Decay FAQ

Every B2B list starts decaying the moment you build it. This FAQ answers what RevOps actually asks — how fast contact and firmographic data decays, what causes it, how to spot a stale list, how often to refresh each field, whether to clean or enrich first, and when to do it yourself versus hand it off.

NameToProfile Team5 min read
Flat illustration of a six-step pre-call prospect research routine — open ICP brief, read fit signals, score against brief, capture contacts, note talking points, draft opener — arranged as a timed left-to-right flow with a five-minute clock motif, indigo
Sales Prospecting

How to Research a Prospect Before a Sales Call (in About 5 Minutes)

Pre-call research fails because it has no stopping rule. Here's a repeatable, roughly 5-minute routine — open the ICP brief, read for three fit signals, score the person against your brief, capture the contacts on the page, note two talking points, and draft an opener you review before sending. Platform-broad, and you

NameToProfile Team5 min read
Flat illustration of a six-step personalize-at-scale outreach process: qualify, segment by reason-to-care, find one true detail, draft in your voice, review every message, tune by segment — indigo palette, NameToProfile logo top-left.
Sales Prospecting

How to Personalize Cold Outreach at Scale Without Sounding Automated

"Personalize at scale" usually collapses into a first-name token every buyer reads as automated. Real personalization is evidence that you looked — and the looking can be systematic. Here's a repeatable process to produce genuinely specific outreach across a large list, with an assistant that drafts but never sends.

NameToProfile Team5 min read
Flat illustration of firmographic qualification: scattered public company pages resolving into a structured table of industry, size, revenue, and location fields, then sorted into A/B/C/D account-fit bands — indigo palette, NameToProfile logo top-left.
Lead Data Enrichment

Firmographic Data: What It Is and How to Use It to Qualify Accounts

Firmographic data turns "which companies are worth our time?" from a hunch into a defensible decision. Here's what it is, which fields actually change a sales call, where to source them from public data, and how to turn them into an account score — built yourself with the Company Extractor or handed off as a managed li

NameToProfile Team6 min read
Flat illustration of a B2B lead-scoring framework: a long list of records passing through a Fast deterministic triage pass, then a Deep LLM pass on a shortlist, sorted into A/B/C/D fit bands with routing actions — indigo palette, NameToProfile logo top-le
Sales Prospecting

How to Score B2B Leads by Fit: A Fast-and-Deep Framework

A long list isn't a lead problem — it's a prioritization problem. Here's a transparent fit-scoring framework: turn one ICP brief into weighted criteria, run a Fast deterministic pass to triage, a Deep LLM pass on the shortlist, and route on visible thresholds — scoring the account and the person, with you in control of

NameToProfile Team6 min read
Flat illustration of a lead-list cleaning pipeline: a messy red raw-export spreadsheet transformed into a CRM-ready, checkmarked list, with a six-step chip row (Profile, Standardize, Dedupe, Validate, Enrich, Structure) — indigo palette, NameToProfile log
Lead Data Enrichment

How to Clean a Messy Lead List Before It Reaches Your CRM

A messy lead list poisons every CRM number downstream. Here's a repeatable cleaning pass to run before import — profile, standardize, dedupe, validate, enrich only the gaps that matter, and structure to your CRM schema — so garbage never becomes your system of record.

NameToProfile Team5 min read

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#b2b sales — Blog · NameToProfile