Answers
Short, sourced answers to the questions people ask about B2B data, email verification and prospecting with AI agents.
Apollo pricing is per seat (checked November 2026). Free is $0 with 100 credits per seat per month. Basic is $59 per seat per month billed monthly or $49 billed annually. Professional is $99 monthly or $79 annually. Organization is $119 per seat per month, billed annually, with a 3-seat minimum. An email costs 1 credit, a phone number 5, and unused credits expire each cycle.
Read the full answer →Clay has four plans. Free is $0 with 500 actions and 100 data credits a month. Launch is $185 a month billed monthly or $167 a month billed annually. Growth is $495 monthly or $446 a month annually. Enterprise is custom. Seats are unlimited on every plan, and usage is metered in two units: data credits and actions.
Read the full answer →Lusha has a free plan with up to 40 credits a month and three self-serve paid plans billed monthly: Starter at $49.90 (400 credits), Pro at $69.90 (600 credits) and Premium at $399.90 (3,400 credits). Annual billing lowers these to $37.45, $52.45 and $299.95 a month. Scale is custom-priced. A verified email costs 1 credit and a phone number 5.
Read the full answer →Wiza has a one-time Free plan (20 valid emails, 5 phone numbers) and per-user paid plans: Starter at $49 a month (monthly only), Email at $99 a month or $83 a month billed annually, and Email + Phone at $199 a month or $166 a month billed annually. Team pricing is custom and annual. API credits cost $0.025 each, minimum $50.
Read the full answer →ZoomInfo does not publish prices for its main platform (SalesOS, MarketingOS and others). Packages are quoted through a sales form, and third-party Vendr data shows a median of $33,500 a year. Its self-serve GTM.ai product has a free tier with 1,000 data and 1,000 AI credits, pay-as-you-go top-ups from $20 with data credits at $0.38 each, and an Enterprise tier with unpublished pricing.
Read the full answer →Email verification checks whether an address can receive mail without sending a message to it. A verifier checks the syntax, confirms the domain has DNS and MX records, flags disposable and role addresses, then asks the mail server over SMTP whether the mailbox exists. Results are usually labelled valid, invalid, catch-all or unknown, because some servers accept every address or give no clear answer.
Read the full answer →To improve email deliverability, authenticate your sending domain with SPF, DKIM and DMARC, and verify your list before every campaign so invalid addresses never bounce. Warm up new domains and mailboxes and send at steady volumes. Write short, relevant messages with an easy way to opt out. Then monitor bounces, spam complaints and inbox placement so you catch and fix problems early.
Read the full answer →A catch-all email is an address on a domain whose mail server accepts messages for any address, whether or not a matching mailbox exists. Because the server says yes to everything, a verifier cannot confirm that a specific person's mailbox is real. Catch-all addresses are neither valid nor invalid. Treat them as unconfirmed, keep them separate, and send to them at lower volume.
Read the full answer →Email bounce rate is the percentage of sent emails returned as undeliverable. Calculate it as bounced emails divided by emails sent, multiplied by 100. As a common rule of thumb, under 2% is good, 2% to 5% needs attention, and above 5% points to a list or setup problem. For cold email, many senders aim to stay under 1% to 2%.
Read the full answer →A hard bounce is an email that the recipient's mail server permanently rejects, so it will never be delivered. The usual cause is an address or domain that does not exist, and the server returns a 5xx error such as 550 5.1.1 (user unknown). Remove hard-bounced addresses from your list right away, because repeated sends to them damage sender reputation and deliverability.
Read the full answer →A soft bounce is a temporary email delivery failure. The recipient's mail server recognised the address but did not accept the message this time, usually because the mailbox is full, the server is busy or down, the message is too large, or the sender is being rate limited. Sending tools normally retry soft bounces, unlike hard bounces, which are permanent failures.
Read the full answer →Email deliverability is the ability of an email to reach the recipient's inbox rather than bouncing or landing in spam. It differs from delivery rate, which only counts messages a receiving server accepted. Deliverability depends on sender reputation, authentication (SPF, DKIM, DMARC), list quality, bounce and complaint rates, sending volume and content. Healthy senders keep bounces under about 2% and spam complaints under 0.1%.
Read the full answer →Email validation is the process of checking whether an email address is real and safe to send to before you use it. It runs a sequence of checks: syntax, domain and MX records, disposable and role addresses, then a mailbox-level SMTP check. Results are usually labelled valid, invalid, catch-all or unknown, because some mail servers never confirm whether a specific mailbox exists.
Read the full answer →An email bounces when the receiving mail server refuses it or cannot deliver it and returns a failure notice. Hard bounces are permanent: the mailbox or domain does not exist, or the server rejects the sender by policy. Soft bounces are temporary: a full mailbox, a server outage, an oversized message or rate limiting. The SMTP code in the bounce message tells you which.
Read the full answer →Email verification matters because sending to addresses that do not exist causes bounces, and repeated bounces damage your sender reputation, which can push even good emails into spam. Verifying before you send protects your domain, saves effort on dead contacts, and tells you which addresses are confirmed, risky or unusable. Tools such as Leadsets label each address verified, catch-all, unknown or invalid.
Read the full answer →To write a cold email, pick one specific person and one reason to contact them now. Use a short, plain subject line, open with a line about them rather than you, state the problem you solve in one or two sentences, add one piece of proof, and end with a single easy question. Aim for roughly 50 to 125 words in plain text.
Read the full answer →Cold email is not illegal in most countries, but it is regulated. In the US, CAN-SPAM allows unsolicited commercial email if it is honest, includes a physical address and offers an opt-out honoured within 10 business days. The EU, UK, Canada and Australia set stricter rules, such as a lawful basis under GDPR or consent under CASL, so the answer depends on where recipients are.
Read the full answer →A cold email is an unsolicited, one-to-one business email sent to someone with no prior relationship with the sender, usually to start a sales conversation, partnership or hire. Unlike spam, a good cold email targets a specific person for a relevant reason, identifies the sender honestly, and makes it easy to reply or opt out. Cold email is a core part of outbound prospecting.
Read the full answer →Rules of thumb put a good cold email reply rate at around 5 percent or more of delivered emails. Typical campaigns land between 1 and 5 percent, and tightly targeted ones can reach 10 percent or higher. Open rates, often quoted at 20 to 40 percent, are unreliable because privacy features and security scanners trigger automatic opens. Judge campaigns on replies, positive replies and bounce rate.
Read the full answer →To automate lead generation, write your ideal customer profile as searchable filters, connect a B2B data source that finds matching companies and people, add a timing signal such as hiring, enrich and verify emails automatically, then push the list to your CRM or sequencer. You can run it through an AI agent connected to a data MCP server, such as Leadsets, or a workflow builder like Clay or n8n.
Read the full answer →A prospect list is a set of companies and people who match your ideal customer profile, with the contact details and context needed to reach them. To build one: define your ICP, find matching accounts, pick the right roles at each, enrich them with work emails, verify every address, add a reason to reach out, then keep the list fresh.
Read the full answer →An ideal customer profile (ICP) describes the type of company that gets the most value from your product and brings you the most value in return. To create one, study your strongest existing customers, find the traits they share (industry, size, region, technology, buying triggers), check those traits against lost deals and churn, write them as testable criteria, and review them every quarter.
Read the full answer →To find someone's work email, start with their full name and their company's website domain. Check public pages such as the company site, press releases and author bios, work out the company's email pattern (for example first.last@domain), then verify the address before sending. An email finder or enrichment tool, such as Leadsets, does the lookup and verification in one step.
Read the full answer →To generate B2B leads, define your ideal customer profile, build a list of matching accounts and decision-makers, verify their contact details, and reach out with a relevant reason to talk. Combine outbound (email, LinkedIn, calls) with inbound (content, search, webinars, referrals). Data tools such as Apollo, ZoomInfo, Lusha or Leadsets supply the lists; timing signals like hiring decide who to contact first.
Read the full answer →LinkedIn Sales Navigator generally does not give you prospects' email addresses. It is built for finding leads and messaging them inside LinkedIn, and an email shows only where a member has shared it. To get emails, take each lead's name, company domain or profile URL into an email finder or enrichment tool such as Apollo, Lusha, Wiza or Leadsets, then verify every address before sending.
Read the full answer →To qualify B2B leads, check three things in order. First, fit: does the company and person match your ideal customer profile? Second, timing: is there a signal such as hiring, a new leader or a funding round? Third, need: confirm the problem, budget and decision process in conversation, using a framework like BANT or MEDDIC. Disqualify early and pass only leads that clear written criteria.
Read the full answer →To use AI for sales prospecting, give an assistant such as ChatGPT or Claude your ideal customer profile. Connect it to a real B2B data source through an MCP server or API, and let it search companies, find the right roles, verify work emails and research each account. A person should review the list and every message before anything is sent.
Read the full answer →An AI SDR is software, usually an AI agent, that does parts of a sales development rep's job: researching accounts, finding the right contacts, verifying emails, writing personalised outreach, sending sequences and sorting replies. It depends on a B2B data source, a sending tool and a CRM, and most teams keep a human reviewing targeting, messages and booked meetings.
Read the full answer →Lead enrichment is the process of adding missing or outdated details to a lead record, such as a verified work email, current job title, company size, industry and technology, by matching the lead against a B2B data source. It turns a name or email into a record sales teams can qualify, route and contact. Data APIs such as Leadsets let an AI agent or workflow do this automatically.
Read the full answer →Lead generation in sales is the process of finding people and companies that might buy what you sell, collecting a way to contact them, and passing the qualified ones to sales. In B2B, that usually means defining an ideal customer profile, building a list of matching accounts and decision makers, then reaching them through inbound content or outbound outreach such as cold email.
Read the full answer →Sales prospecting is the work of finding potential customers who fit your ideal customer profile, researching them, and starting a first conversation, usually by email, phone, LinkedIn or referral. It sits at the top of the sales process, before qualification and demos. Effective prospecting combines a clear target, accurate and verified contact data, a timely reason to reach out and a relevant first message.
Read the full answer →To use intent data for sales, start with a clear ideal customer profile. Combine first-party signals (site visits, product usage), third-party topic research data and public triggers such as job postings into one account score. Prioritise accounts showing several signals in a short window, reach the likely buying roles quickly, and open with the business trigger, never with what you tracked.
Read the full answer →B2B data is information about businesses and the people who work at them, used for sales, marketing and research. It covers firmographics (industry, headcount, location), contact data (names, job titles, work emails, phone numbers), technographics, intent and hiring signals. Teams get it from data providers, APIs or their own CRM to find prospects, enrich records and time outreach.
Read the full answer →B2B intent data is information about company behaviour that suggests an organisation is researching a product, service or problem. Examples include reading content on a topic, comparing vendors on review sites, visiting pricing pages or hiring for related roles. Sales and marketing teams use it alongside firmographic fit data to decide which accounts to contact first, when to reach out and what to say.
Read the full answer →CRM data is the information a customer relationship management system such as HubSpot, Salesforce, Pipedrive or Attio stores about the people and companies a business sells to: contact details, company attributes, every email, call and meeting, and deal stages. Teams use it to segment accounts, prioritise leads, personalise outreach, route work and forecast revenue. It stays useful only when it is deduplicated, enriched and re-verified regularly.
Read the full answer →Data enrichment is the process of adding missing or updated information to records you already have, using an outside source. In B2B sales, that usually means taking a name, email or company domain and appending fields such as current job title, seniority, verified work email, industry, headcount and technology. Examples include filling blank CRM fields, adding firmographics to inbound leads and refreshing stale job titles.
Read the full answer →Sales intelligence is the data and tooling sales teams use to find, understand and prioritise buyers. It combines contact data (names, roles, work emails, phone numbers), company data (industry, headcount, technology) and signals such as hiring, job changes and buying intent. Platforms like ZoomInfo, Apollo and Lusha package it in apps, while APIs such as Leadsets deliver it to AI agents.
Read the full answer →To build an MCP server, pick an official SDK (TypeScript or Python), define the tools, resources or prompts you want an AI model to use, choose a transport (stdio for local use, Streamable HTTP for remote), test it with the MCP Inspector, then add it to a client such as Claude, Cursor or ChatGPT. MCP gives AI agents a standard way to reach outside data and actions.
Read the full answer →Claude skills are folders of instructions, and optionally scripts and reference files, that teach Claude how to do a specific task. Each skill has a SKILL.md file with a name and a short description. Claude reads those descriptions and loads the full instructions only when a task calls for it. Skills teach a workflow; tools such as MCP servers give Claude access to data and actions.
Read the full answer →An MCP server is a program that exposes tools, data or prompts to an AI assistant through the Model Context Protocol (MCP), an open standard. The assistant, called the MCP client (for example Claude, ChatGPT or Cursor), discovers what the server offers and calls its tools during a conversation, so it can query databases, read files or fetch live data without custom integration code.
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