How to Use AvairAI: Launch Your First Outbound Campaign in 10 Minutes

Here is the short version. To use AvairAI, you start a free trial and give it one input: your website URL. From there, its AI agents do the heavy lifting, building a complete outbound program (the targeting, the messaging, the verified contacts and a pre-built 12-touch, three-week campaign across email, calls and LinkedIn) in about 10 minutes. You review what it built, tighten anything that needs tightening and launch. The AI sends the emails on schedule. Your reps walk into ready-to-run call and LinkedIn tasks and spend their hours on the conversations that close.

That is the whole loop. Most of this guide is about doing each part well, because the quality of what you put in front of AvairAI shapes the quality of the interested leads that come out. AvairAI removes the weeks of setup that usually stand between a sales team and a precise outbound campaign. It does not remove your judgment, and the teams that get the most from it treat the platform as a partner, not a vending machine.

Key takeaways

• The only input AvairAI needs is your website URL. It reads your site, finds (or generates) the customer win that proves your value, and builds the campaign from there. No "upload a case study," no questionnaire, no integrations.
• A campaign goes from URL to launch-ready in about 10 minutes. Your review afterward is the slow, valuable part.
• AvairAI delivers interested leads (marketing qualified leads, or MQLs). The AI sends the emails and triages replies; your reps complete the call and LinkedIn touches and book and close.
• Each campaign reaches about 250 AvairAI-sourced contacts, up to 500 with your own uploads. That is a precise micro-campaign on a real buying signal, not a blast.
• Pricing is flat and published: Starter $99/mo, Professional $299/mo, Growth $999/mo. Annual Professional and Growth plans guarantee leads (36 and 120 per year). A 14-day free trial, no credit card, lets you see the work before you pay.

What AvairAI Actually Is

AvairAI is an AI sales prospecting platform for B2B sales. Give it your website, and its AI agents build and run your entire outbound program: finding the right accounts through Pain-Signal Targeting, writing every personalized message, sending the emails, and handing your reps ready-to-run call and LinkedIn tasks, while your salespeople have the conversations that close. That partnership has a name, Pair Selling, and it is the idea that shapes how you use the product.

The split matters because it tells you where to spend your attention. The AI owns the grind: account research, list building, personalization, sending, and the patient follow-up that wears reps down. Your team owns the relationships: the live call, the LinkedIn back-and-forth, the discovery, the close. When you understand that division, the setup steps below stop feeling like busywork and start feeling like the few decisions that actually decide whether your pipeline fills with the right people.

There is a reason the product is built this way. Salesforce's State of Sales research found that reps spend just 28% of their week actually selling; the rest disappears into admin, research and data entry. That is not a discipline problem. It is a misallocation of human talent. AvairAI's job is to take the 72% that machines can do well and give it back to the work only a person can do.

Before You Start: The One Input

The single most important thing to get right is also the simplest. The only required input is your website URL. AvairAI scrapes your site to understand what you sell, who you sell it to, and the language you use. It looks for a customer success story that proves your value. If it finds one, it uses it. If your site does not have a clear case study, AvairAI generates one from your content, inferring the use case and the pain points your product solves.

This is worth stressing because older guidance (and a lot of competitor onboarding) asks you to prepare a case study, fill out an ideal-customer-profile questionnaire, or connect a CRM before you can do anything. You do not need any of that here. Give AvairAI your website and it does the rest. If you have a polished customer story you are proud of, the page it lives on will make the messaging sharper, but it is never a gate to getting started.

What does AvairAI build from that one input? In a single flow, its agents produce your core messaging, a list of target accounts chosen on real buying signals, decision-maker personas and titles, personalized emails, call scripts and LinkedIn messages, a verified contact list, and a TCPA compliance pass on the phone numbers. You can see the full breakdown on the features page, and the end-to-end flow is mapped on how AvairAI works. You start all of this on a 14-day free trial with no credit card, so you can watch the campaign get built before you commit a dollar.

What Happens in the 10 Minutes

It helps to know what the AI is doing while you wait, because each thing it produces is a thing you would otherwise build by hand. First it reads your website and writes a structured summary of your business: what you sell, the outcome you deliver, and the customer story that proves it. Then it derives your ideal customer profile and the personas inside it, the titles who actually decide. From there it surfaces target accounts, screening for lookalike fit and live Trigger Signals. Next it writes the content, an email cadence plus call scripts and LinkedIn messages, personalized against each contact's role and company. It sources contacts for the chosen accounts from its database, runs Contact Verification and a TCPA pass on the phone numbers, and produces a Predicted Leads estimate. What lands on your screen is not a blank workspace with some AI suggestions. It is a finished campaign you can interrogate. That difference, a complete artifact instead of a starting point, is the thing most first-time users underestimate.

Why "Just Your Website" Is Enough

The thinking behind the single input is the most teachable idea in the product, and it is worth sitting with for a moment because it changes how you target. Every paying customer you have is proof of a pain you solve. Somewhere out there are hundreds of companies with that exact pain, and the fastest path to revenue is to find them and reach them the moment it starts to hurt.

AvairAI turns your customer wins into a map of who to target next. This is what AvairAI calls Pain-Signal Targeting: it learns the problems your product solves, then finds the companies showing public evidence of those problems right now. It reads your site, identifies the win that proves your value, and uses that insight to find lookalike accounts, companies that resemble the customers you already close, then watches for the public Trigger Signals (a new hire, a leadership change, a funding round, an expansion) that show one of those accounts is feeling the pain. That is precision, not spray-and-pray: 200 right contacts, not 20,000 random ones. If you want the deeper strategy behind this, the guide on implementing highly effective B2B lead generation walks through the lookalike thesis in detail.

How to Use AvairAI, Step by Step

Here is the core walkthrough. Six steps take you from a blank trial to a live campaign. The build is fast; the review is where you earn lead quality.

Step 1: Start Your Trial and Add Your Website

Sign up for the free trial and paste in your website URL. AvairAI's agents read the site and start assembling the campaign. This is the moment that replaces what used to be weeks of work for a marketing and sales-ops team, so the first time you watch it happen it can feel almost too fast. Resist the urge to skip ahead. The minutes you save here are minutes you will reinvest in review, which is where the real quality comes from.

A quick worked example to make this concrete. Say you run a 30-person company that sells onboarding-automation software, and your best customer is a fintech that cut new-user onboarding from days to hours. AvairAI reads your site, infers that win, and starts looking for other fintechs and high-growth software companies with the same onboarding pain. You did not have to tell it any of that. It read it off the page.

Step 2: Review and Refine Your Messaging

AvairAI generates your messaging framework from the site analysis: your value proposition, your differentiators, the pain points you solve, and the tone you use. Read it carefully. This is the foundation every email, script and LinkedIn message is built on, so a small correction here improves everything downstream.

Look for three things. First, accuracy: does the AI describe what you sell the way you would? Second, voice: does it sound like your company or like a generic template? Third, proof: is the customer win it pulled the strongest one you have, or is there a better story on your site it could anchor to? While you are in this part of the setup, AvairAI also creates an AI Call Agent trained on your messaging. You can set its name, review its knowledge base for accuracy and test how it answers questions before it ever speaks to anyone.

Step 3: Confirm Your Target Accounts and Personas

Now you decide who the campaign reaches. This is Pain-Signal Targeting in practice: AvairAI identifies target companies based on lookalike fit and Trigger Signals, real-world business events (a funding round, a hiring spike, a leadership change, an M&A move) that show an account is feeling your pain right now. Each suggested account can carry the reason it was chosen, the "why now" your rep can open with.

Back to the onboarding-software example. AvairAI might surface a Series-B fintech that just hired a VP of Operations, a clear signal that the company is scaling its user base and is about to feel the onboarding pain your best customer felt. That account carries a "why now" your rep can open with: "Saw you brought on a VP of Ops; teams usually hit onboarding bottlenecks right around that stage." That is the difference between targeting on a stale industry-and-title list and targeting on a live event. You are not guessing the account has the pain. You are reaching them the week it starts to hurt.

Your job is to refine the list. Remove your existing customers so you do not prospect people you already won. Add specific high-priority accounts you want in the campaign. Adjust the industry, size and geography filters if the AI cast a wider or narrower net than you intended. Then review the personas: the job titles and roles AvairAI plans to reach inside each account. Confirm they match how buying decisions actually get made in your market, and add the influencers who shape the call, not just the final signer. If account selection is new to you, the guide what is account-based marketing explains why targeting accounts beats chasing scattered leads.

Step 4: Review the Emails, Call Scripts and LinkedIn Messages

This is where the AI hands you a first draft of the actual outreach, personalized per contact across all three channels. Read it the way a skeptical prospect would.

For the emails, check the subject lines, the opening, the value proposition and the call to action. Make sure the personalization is doing real work and not just inserting a first name and a company. (Over-personalization can backfire; people can smell research for research's sake.) For the call scripts, read the opener aloud. If you would not take the meeting, neither will the prospect. For the LinkedIn messages, confirm the connection note and the follow-ups sound like a person, not a pitch deck. The goal across every channel is value-first, on-brand outreach. If you want a framework for what good messaging looks like, prospecting best practices is a useful companion here.

Step 5: Verify Contacts and Check Predicted Leads

Before anything sends, AvairAI runs Contact Verification on the list. Every contact is checked for email deliverability and current employment, then flagged green (good to contact), yellow (needs a closer look) or red (no longer reachable, often because they changed jobs). This single step is why AvairAI cuts bounce rates from a typical industry baseline near 30% to under 2%. That matters more than it sounds: HubSpot, citing MarketingSherpa, estimates that a marketing database decays about 22.5% each year as people change roles and email addresses. A list you bought three months ago is already wrong in ways verification catches and a raw bounce does not. If deliverability is a sore spot for your team, the deep dive on email bounce rates and contact verification is worth the read.

For phone numbers, AvairAI runs a one-click TCPA classification, screening against the National Do Not Call registry, line type and litigator databases so reps know exactly which numbers are safe to call. (More on the mechanics in one-click phone classification.) The platform also shows you Predicted Leads, an estimate of how many interested leads the campaign is likely to produce before you launch it. That forecast is there to answer the question every sales leader asks before committing: is this going to work? You can see how the feature changes planning in this look at Predicted Leads.

Step 6: Launch and Work Your Manual Tasks

Hit launch. From here the campaign runs on a pre-built 12-touch, three-week cadence across email, calls and LinkedIn. Here is the part most tools get wrong, so read it closely: the AI sends the emails automatically, on schedule, with deliverability guardrails. The calls and LinkedIn touches come to your reps as Manual Tasks, each one handing them the contact, the personalized script or message, and (for LinkedIn) the profile link. Your reps do not build anything. They open a task and execute it.

This is Pair Selling in practice. The AI does the tireless, repeatable work; the human shows up for the moments that need a human. As replies come in, the execution engine triages them by sentiment and routes the positive ones to your rep, manages sending limits to protect your domain reputation, drops bounced contacts, and caps LinkedIn tasks to your plan tier so nothing trips a platform limit. The quick campaign setup checklist is a handy reference to keep beside you the first time through.

How the Outreach Executes

It is worth understanding what is happening under the hood once a campaign is live, because it explains why the results look different from a generic email tool. The 12-touch cadence is multi-channel by design, and it runs over roughly three weeks.

On the email side, the AI sends a series of personalized emails: an opener anchored in the prospect's likely pain, follow-ups that add value rather than just "bumping" the thread, and social proof drawn from your real customer win. On the human side, your reps complete call and LinkedIn touches from their task queue, timed to the email engagement so a call lands when interest is warm rather than cold. Multiple channels working together is not a nice-to-have. Research from RAIN Group found it takes an average of 8 touches to land an initial meeting with a new prospect, and that the best performers convert 52 of every 100 target contacts compared with 19 for everyone else. A single cold email almost never gets there; a coordinated cadence does. The case for stacking channels is laid out in multi-channel outreach delivers results.

A word on AI calling, because it is widely misunderstood. AvairAI's AI Call Agent is a secondary, optional capability, not the engine of cold outbound. US TCPA law restricts automated and AI calling to warm or pre-approved contacts, so the AI Call Agent is best used for testing your messaging, for SDR and BDR practice, and for compliant calls to people who have opted in, always disclosing that it is AI. Your cold call touches go to your reps as Manual Tasks. AvairAI does not autonomously cold-call strangers and book your calendar, and any tool that claims it does is glossing over the law.

Keeping It Compliant and Your Domain Safe

Two things sink outbound programs faster than bad copy: legal exposure on calling, and a wrecked sending reputation. AvairAI is built so neither becomes your problem to manage.

On compliance, the TCPA classification runs on every campaign, screening phone numbers against the National Do Not Call registry, line type and known litigator lists. The real cost of getting this wrong is not only the $500 to $1,500 per-violation penalty; it is the prospect who will never do business with a company that called them the wrong way. Compliance, done right, is a trust advantage, not a checkbox.

On deliverability, AvairAI provisions dedicated sending domains and mailboxes with SPF, DKIM and DMARC configured, and includes email warmup so you are never sending production volume from a cold or unauthenticated domain. Combined with Contact Verification trimming bounces to under 2%, that keeps your primary domain out of the line of fire. The execution engine also paces sending and drops bounced contacts automatically, so a single bad address does not snowball into a reputation problem. You can read how AvairAI handles data and compliance on the security page.

How Different Roles Use AvairAI

The setup is the same for everyone, but what you do with the time it gives back depends on your seat. AvairAI is built first for 10-to-100-person B2B SaaS sales teams, and inside that, a few roles get the most out of it. You can see the full picture on the use cases page.

If you are an SDR or BDR, AvairAI removes the part of the job that burns people out: the hours of list building, research and cold-email writing. You walk into a queue of ready-to-run call and LinkedIn tasks and spend your day in conversations instead of spreadsheets.

If you are an account executive, the value is simpler. Your pipeline fills while you stay on the deals you already have. You stop choosing between prospecting and closing, because the prospecting is happening in the background and handing you interested leads.

If you are a sales leader, AvairAI gives you predictable top-of-funnel without adding headcount, and consistent messaging across every campaign your team runs. The annual lead guarantee turns a fuzzy "will this work" into a number you can plan against.

If you are a founder who still sells, this is the one that matters most. You wear every hat, and prospecting is the hat that quietly slips because closing is always more urgent. Give AvairAI your website and it keeps the top of the funnel full while you do the work only the founder can do. The guide on how to scale your sales goes deeper on building a repeatable engine before you can afford a full team.

What AvairAI Delivers, and What Your Reps Do

This is the most important distinction in the whole guide, so it gets its own section. AvairAI delivers interested leads. An interested lead is a contact who responds to the outreach with genuine interest: they ask for information, ask for a meeting, engage the AI call agent and show real interest, or refer you to the right person internally. In the language of the lead guarantee and the Terms, that is a marketing qualified lead (MQL), a prospect qualified by marketing criteria (fit plus engagement), not by a sales conversation.

What happens next is human work. Your rep takes the interested lead, has the conversation, books the meeting and closes the deal. Sales qualification (turning an MQL into a sales qualified opportunity) happens in or after that meeting, where it belongs. AvairAI does not pretend to do that part, and you should be wary of any platform that says its AI "qualifies" or "books" for you. The handoff is the moment Pair Selling pays off, and doing it well is a skill worth building; the playbook in what to do when you get a lead and the prep guide for your first customer meeting are both built for exactly this moment.

Getting More From AvairAI

The first campaign teaches you the loop. The compounding value comes from how you run the engine over time.

Let the Engine Run Itself

AvairAI is built to keep working without you babysitting it, and three connected capabilities make that real. Always Active turns a campaign evergreen: when its touches finish, instead of stopping it refreshes its target accounts with a new set of matching companies, sources fresh contacts and runs the cadence again. Planner maps out a portfolio of distinct campaigns across the coming months, varying the use case and the targeting dimensions so you are never staring at a blank calendar. Auto Mode executes that plan hands-free, creating and starting each month's campaigns on schedule. The autonomy lives in the grunt work, the research and the scheduling and the relaunching; your reps stay on relationships and closing. For teams that need to scale this without adding headcount, the guide on how to scale your sales pairs well with these features.

Test, Measure, Refine

Treat every campaign as a chance to learn what your market responds to. Compare how different subject lines, opening lines and value-proposition angles perform. Watch reply quality, not just open rates, because the metric that matters is interested leads, not vanity activity. Adjust your targeting based on which accounts actually engage; if a particular industry or company size is converting, lean into the lookalikes of those winners. Over time this tightens the loop: better targeting produces better leads, which sharpens your sense of who to target next. A practical way to run this: change one variable at a time. Test two opening lines against the same audience before you touch the targeting, so you know which lever moved the result. When a value-proposition angle clearly out-converts the others, promote it to your next campaign's default and test something new against it. The point is not endless tinkering; it is building a small, compounding library of what your market actually responds to. The principle that quality beats raw volume is the whole game, and why lead quality matters more than quantity makes the case better than a single paragraph can.

Run More Than One Campaign

As you get comfortable, segment. Run separate campaigns for different products, verticals or regions, each with its own messaging and target list, and coordinate the timing so you are not reaching the same account from two angles at once. Share the messaging that wins across campaigns, and keep a consistent brand voice so a prospect who sees you in two places sees one coherent company. There is a worked approach to scaling account-based outreach this way in how to use AvairAI to scale your ABM outreach.

How to Measure Whether It Is Working

A campaign is only as useful as the read you take off it, and the metrics that matter here are not the ones most dashboards push to the top. Start with reply quality, not open rates. An open tells you a subject line worked; an interested lead tells you the whole campaign worked. Count the leads, the contacts who responded with real interest, and judge everything else against that number.

Compare your Predicted Leads estimate to what actually came in. If you are landing close to or above the forecast, your targeting and messaging are aligned; if you are well under, the gap usually points at one of three things: the wrong accounts, a value proposition that does not match the pain, or a list that needed tighter verification. Look at channel performance too. If email is engaging but calls are not converting, the script or the timing is off, not the targeting. If a particular industry or company size keeps replying, that is your market telling you where the lookalikes are richest, so feed that signal back into your next campaign.

Finally, watch the human half of the loop. The best AI-built campaign in the world leaks revenue if interested leads sit in a queue while a rep is busy. Track how fast your team works the Manual Tasks and how fast they follow up on a positive reply, because speed-to-lead is where a lot of pipeline quietly dies. There is a fuller breakdown of the numbers worth tracking in how to measure AI SDR performance, and the broader case for measuring outcomes over activity in the ROI of lead generation.

AvairAI Key Terms and Terminology

A short glossary, because using the product well means using its words precisely. You can find the full set on the resources glossary.

Website. The single input AvairAI needs. Its AI reads your site to understand your business model, value proposition and market, and to find or generate the customer win the campaign is built on.

Pair Selling. AvairAI's methodology: AI agents run the prospecting (targeting, list building, personalization, sending and follow-up) while your salespeople own the relationships and the close. Salespeople are irreplaceable; AI makes them unstoppable.

Pain-Signal Targeting. AvairAI's targeting method: it learns the problems your product solves, then finds the companies showing public evidence of those problems right now. In practice it surfaces pain-matched accounts on their public Trigger Signals, so you reach companies the moment the problem starts to surface.

Trigger Signal. A real-world business event (a funding round, a hiring spike, a leadership change or an M&A move) that shows an account is feeling your pain right now. AvairAI targets accounts on their Trigger Signals so you reach them when they are most ready to buy.

AI Call Agent. A conversational AI trained on your messaging, with a customizable name, used for testing your message and for compliant calls to warm or opted-in contacts. It always discloses that it is AI. It is a secondary capability, not the cold-outbound channel.

Messaging. Your value proposition, differentiators and pain-point framing, generated from your website. It is the foundation for every email, script and LinkedIn message.

Accounts. The target companies AvairAI selects for a campaign, chosen on lookalike fit and Trigger Signals.

Personas and Titles. The decision-maker roles AvairAI plans to reach inside each account, including both signers and influencers.

Content. The personalized outreach assets, including emails, call scripts and LinkedIn messages, written per contact.

Contact. A person AvairAI reaches out to, drawn from its 105M-plus verified professional contacts. A contact is the input, never a synonym for a lead.

Lead. A contact who responds with genuine interest, an MQL. Leads are the earned output of a campaign, and the annual guarantee is measured in leads, not contacts.

Contact Verification. The pre-launch pass that checks email deliverability and current employment, flagging each contact green, yellow or red. It cuts bounce rates from about 30% to under 2%.

Predicted Leads. AvairAI's estimate, shown before launch, of how many interested leads a campaign is likely to produce.

TCPA Compliance Check. A one-click classification of every phone number against Do Not Call and litigator databases, so reps know which numbers are safe and legal to call.

Manual Tasks. The ready-to-run call and LinkedIn touches AvairAI hands your reps, each prepared with the contact, the personalized script or message and the profile link.

Common Mistakes to Avoid

A few patterns separate teams that get a lot from AvairAI from teams that get a little.

The first is skipping the review. The build is fast enough that it is tempting to launch the AI's first draft as-is. Don't. The ten minutes of review you do is the difference between outreach that sounds like your company and outreach that sounds like everyone else's. The second is treating contacts like leads, mentally counting the 250 people a campaign reaches as if they were 250 prospects ready to buy. They are not; they are contacts until they respond. Manage your own expectations and your team's around the leads the campaign actually produces. The third is forgetting the human half. AvairAI fills the top of the funnel, but the Manual Tasks still need to get done and the interested leads still need a fast, well-prepared rep on the other end. The fourth is launching once and waiting. The engine rewards iteration; the teams that test, measure and let Always Active and Auto Mode keep campaigns in market see the curve bend over months, not days. The honest economics of cutting corners are spelled out in why spray-and-pray prospecting stopped working.

The Bottom Line

Using AvairAI well comes down to two habits. Give it a clean input, your real website with your best proof on it, and review what it builds before you launch. Everything else, the targeting, the verified contacts, the personalized cadence, the sending, the reply triage, it handles. Your reps get their selling hours back and spend them where humans win: on the call, in the conversation, at the close.

The old way to launch precision outbound took weeks, a specialist and a budget most teams did not have. The new way takes your website URL and about 10 minutes. Start the 14-day free trial, point AvairAI at your site, and watch your first campaign come together. With Pair Selling, you never sell alone.