An agency growth machine is the system that replaces founder-led selling: it defines who to sell to, finds and verifies those buyers, reaches them across email, LinkedIn and phone, works every reply, books qualified meetings and tracks each deal to signature. This guide walks through the full machine Agency Growth Partners (AGP) runs for marketing agencies, stage by stage, in the order the work actually happens. It also gives you criteria to judge any provider or a do-it-yourself build.
Nerdy Joe is owned by Agency Growth Partners (AGP), so this is our own system and we are not neutral about it. We have tried to be specific about how it works, label sample figures as samples, and say plainly who it is not for.
The short version
AGP's headline is "We grow marketing agencies." The machine has five stages (Advise, Build, Fill, Close, Partner) and runs on Artemis, AGP's growth engineering system, with a dedicated growth engineer building and tuning each client's engine.
Here is the full sequence this guide covers:
- Strategy: ideal buyer, offer and markets.
- Data: one unified B2B database with fit and intent scoring.
- Lists: enriched and verified before anything sends.
- Sending infrastructure: dedicated domains and mailboxes, never your main domain.
- Warmup and inbox placement: slow ramps and daily monitoring.
- Personalization: copy written from live signals, not templates.
- Multichannel: email, LinkedIn and phone in one sequence.
- Replies and long-cycle follow-up: every reply sorted, every "not now" dated.
- Booking and prep briefs: meetings on your calendar with context attached.
- CRM, dashboard and close: every touch logged, every deal visible.
- Partner: shared upside through revenue share, equity or a custom install.
If you only read one section, read the one on replies. That is where most outbound programs leak the most revenue.
Why marketing agencies stall around $1M
AGP's thesis is simple: "Most agencies stall at $1M for the same reason. The founder is the offer, the closer and the growth plan." Below that level, founder selling works. Above it, the founder's calendar becomes the ceiling.
The pattern looks the same across agency types. Referrals bring in most new clients, so revenue rises and falls with the founder's network. When the founder is busy delivering, nobody is prospecting, and when the pipeline dries up, the founder drops delivery to go sell.
What the bottleneck actually costs
The founder bottleneck shows up in three places:
- The offer. The founder is the only person who can explain what the agency does and why it is different, so the offer lives in their head rather than on a page.
- The closing. Every proposal waits for the founder's time, so deals stall and slip in busy months.
- The growth plan. There is no system that predicts next quarter's new clients, so hiring and spending decisions are guesses.
AGP's answer is to start by removing the pipeline bottleneck. If qualified conversations arrive every week without the founder prospecting, the other two problems become solvable. The founder can then spend selling time only on calls that are worth it.
Why outbound, and why a system
Referrals and inbound are still valuable, but you cannot turn them up on demand. Outbound is the one channel where the agency chooses who it talks to, how many, and when.
The catch is that outbound done badly burns domains, annoys good prospects and produces "leads" that never buy. The difference between noise and a growth machine is the system underneath: data, deliverability, copy, reply handling and tracking working together.
The five stages of AGP's growth machine
AGP describes its work in five stages. Each stage hands off to the next, and the Artemis system carries the data and history through all of them.
| Stage | What happens | Who does the work |
|---|---|---|
| 1. Advise | Define the ideal buyer, the offer and the markets | AGP strategy |
| 2. Build | Build a private engine on Artemis: data, domains, mailboxes, sequences | Growth engineer on Artemis |
| 3. Fill | Run outreach and fill the calendar with qualified meetings | Artemis plus the growth engineer and trained SDRs |
| 4. Close | The client closes, with each prospect's full history available | The client, or AGP's closing service |
| 5. Partner | Share upside through revenue share, equity or a custom install | AGP and the client |
AGP's services page groups the same work into Build, Fill, Close and Partner. One line from that page frames the whole approach: "Most agency pipelines fail at the offer, not the list."
The three teams behind it
AGP positions itself as a partner rather than a vendor: it owns the client relationship and the results. Three teams do the work:
- AGP: strategy, sales and partnerships.
- Artemis: the technology. Data, campaigns, AI follow-ups and a live dashboard.
- Growth engineering: a dedicated growth engineer builds, runs and tunes each client's engine, covering lists, copy, deliverability and replies.
The Artemis loop
Inside the Build and Fill stages, Artemis, AGP's growth engineering system, runs its own five-step loop: Discover, Enrich, Personalize, Engage, Book. The sections below follow that loop from the first data pull to the signed contract.
Stage 1: Strategy (ideal buyer, offer and markets)
Every engine starts with three decisions: who the agency sells to, what it sells them, and which markets to start in. This is the Advise stage, and it usually takes the first week.
The output is not a slide deck. It is a short list of buyer definitions precise enough to turn into database filters, and an offer clear enough that a stranger understands it in one email.
What gets decided
AGP's services page lists the strategy work as ICP, positioning, packaging, pricing architecture and proposal design. In practice, that means answering questions like these:
- Which client types have bought from you at the best margins and stayed the longest?
- Which titles sign the contract, and which titles influence it?
- What headcount, revenue, industry, location and technology describe your best accounts?
- What specific outcome can you promise in a first conversation, without overclaiming?
- What is the smallest first engagement that lets a buyer say yes easily?
Why the offer comes before the list
A perfect list with a vague offer gets polite silence. A sharp offer sent to a decent list gets replies, and the replies teach you how to fix the list.
For marketing agencies, the most common offer problem is describing services ("SEO, paid media, web design") instead of a result for a specific buyer. The strategy stage forces that translation before any email is written.
Go deeper: how to build an agency ideal client profile for outbound.
Stage 2: Data (finding the right buyers)
Once the buyer is defined, Artemis finds them. Artemis unifies data from 20+ sources into one schema: 693M people profiles and 67M companies, with 366M people that have an email address and 166M with a phone number. AGP states coverage is updated daily.
Filters and natural-language search
There are two ways to search inside Artemis. The first is filters: 50 ICP filters for people and 34 for companies, including title, seniority, industry, headcount, revenue, funding, technology, location, email status, email type and reachability.
The second is natural-language discovery. You describe your ideal customer in plain language and Artemis returns a ranked list with fit and intent scoring. AGP's page shows example fit scores of 96%, 93%, 91% and 88% for sample results.
Enrichment
Enrichment turns a thin record into a usable one. Give Artemis a LinkedIn URL or an email and it returns a full record: current role, firmographics, skills, education, location, and verified work emails and phone numbers.
Every contact arrives with company and intent context attached. That context feeds the personalization stage later, so the data work pays off twice.
What good data looks like
Whatever data source you use, check these four practices. Artemis handles them as follows:
| Practice | Why it matters | How Artemis handles it |
|---|---|---|
| Deliverability status on every email | Bounces damage sending reputation | Every email carries a status, such as verified |
| Check before reveal | You only pull the contacts you need | Contacts can be checked before contact details are revealed |
| Empty, not guessed | A guessed email or title is worse than none | Unknown fields come back empty (null) |
| Source named per record | You can trace and fix bad data | Each record names the dataset that supplied it |
If you are comparing standalone tools, our roundup of B2B data providers covers what to test before you buy.
Go deeper: B2B contact data for agency outbound.
Stage 3: Lists (enriched and verified before anything sends)
A database is not a list. A list is a specific set of contacts, filtered to one buyer definition and one offer, cleaned and verified, ready to send.
In Artemis, contacts are enriched and verified before anything sends, and every address is verified before it is sent to. That rule matters more than any copy trick, because bounces are one of the fastest ways to damage a new sending domain.
How a list gets built, step by step
- Translate one buyer definition into filters (title, seniority, industry, headcount, location).
- Run the search and review the ranked results and fit scores.
- Remove current clients, open deals, competitors and anyone who has opted out.
- Enrich the remaining records with role, company and intent context.
- Verify every email address and drop anything that does not pass.
- Split the list by segment so each one gets copy written for it.
- Approve a sample before the full list goes live.
Small segments beat one big list
A list of 2,000 operations directors at mid-size manufacturers will outperform a list of 20,000 "decision makers." Smaller segments let the copy speak to one situation, and they make test results easier to read.
The growth engineer's job here is to keep segments tight and to retire the ones that stop responding. If you are evaluating separate verification tools, see our guide to email verification tools.
Go deeper: verified lead lists for agencies.
Stage 4: Sending infrastructure
Sending infrastructure is the plumbing that decides whether your emails reach the inbox. It is also the stage most agencies get wrong when they try outbound themselves.
The rules AGP follows
- Never the main domain. The client's main domain is never used for cold email. It carries invoices, client email and the agency's reputation.
- Dedicated sending domains. Each engine sends from dedicated domains with SPF, DKIM and DMARC set on every one.
- Many mailboxes, low volume each. Mailboxes can be on Google Workspace, Microsoft 365 or any SMTP/IMAP account. SPF and DMARC are checked per mailbox, and each mailbox has its own health view.
- Spread and spaced. Sends are spread across mailboxes under daily limits, with sending windows and spacing between sends.
- Automatic throttling. Volume drops automatically when a mailbox starts to slip into spam.
An Artemis engine can send up to 500K emails a month. Most agencies will never need that ceiling; the point is that volume can grow without rebuilding the setup.
What Google and Yahoo require
The mailbox providers set the floor. Google's sender guidelines say all senders must set up SPF or DKIM and keep the spam rate reported in Postmaster Tools below 0.3%, and Google recommends staying below 0.10%. Senders of more than 5,000 messages a day to Gmail must have SPF, DKIM and DMARC (a policy of none is allowed), and marketing and subscribed messages must support one-click unsubscribe.
Yahoo's sender best practices ask bulk senders to implement both SPF and DKIM, publish a valid DMARC policy of at least p=none that passes, keep the spam rate below 0.3%, support one-click unsubscribe for marketing and subscribed messages, and honor unsubscribes within 2 days.
Cold outbound to individual prospects is not newsletter marketing, but the same reputation systems judge it. A setup that spreads low volume across authenticated domains and honors every opt-out stays far from those limits.
For a deeper technical walkthrough of DNS records and domain setup, see our cold email infrastructure guide.
Go deeper: agency cold email sending infrastructure.
Stage 5: Warmup and inbox placement
New mailboxes have no reputation, so they cannot send at full volume on day one. Warmup builds that reputation slowly before launch.
How warmup works in Artemis
Each mailbox is warmed before it sends a single cold email. Warmup exchanges email with other inboxes, starting at about 10 a day and ramping up gradually. Progress is tracked per mailbox across 40 steps.
This is why the timeline has a two to three week build and warm window. Skipping it is the most common reason a new outbound program lands in spam in its first month.
Daily monitoring
After launch, warmup does not stop mattering. Artemis monitors every mailbox daily for health score, daily send count against its limit (for example 23 of 50), warmup progress and inbox placement.
Inbox placement is measured at Google, Microsoft and Yahoo with placement tests. AGP treats 90%+ placement as healthy.
What AGP's sample dashboard shows
The figures below come from AGP's sample dashboard. They illustrate what the monitoring looks like. They are not a guarantee and not an average across clients.
| Sample dashboard item | Sample value |
|---|---|
| 14-day inbox placement, Google | 97% |
| 14-day inbox placement, Microsoft | 95% |
| 14-day inbox placement, Yahoo | 94% |
| Mailboxes in the sample panel | 48 |
| Healthy | 41 |
| Warming | 6 |
| Resting | 1 (health 71, 84% placement) |
The resting mailbox is the useful detail. When a mailbox slips, the right move is to pull it back, let it recover, and shift volume to healthy ones, which is what automatic throttling does.
If you want to compare standalone options, our review of email warmup tools covers how they differ.
Go deeper: mailbox warmup and inbox placement.
Stage 6: Signal-based personalization and copy
Deliverability gets the email into the inbox. Copy gets it read and answered. Artemis writes messages from live signals rather than templates.
What a signal is
A signal is a fact about the prospect or their company that makes now a good time to talk. Examples Artemis uses include role, company stage, hiring activity, a new plant opening or a hiring push.
A message built on a signal sounds like this in practice: you noticed the company is hiring three sales reps, and the agency helps firms at that stage fill the new reps' calendars. That is a reason to reply. "I help companies like yours grow" is not.
How copy improves over time
- A/B variants per step. Each step in a sequence can test different versions.
- Self-optimizing campaigns. Campaigns shift toward the messages that earn positive replies, not just opens.
- AI drafting and scoring. AI drafts and rewrites copy (shorten, make friendlier, fix grammar) and scores email content before it goes out.
- Human review when you want it. An Autopilot mode can hold emails for human review before they send.
Continuous copy testing is part of AGP's Fill services. The growth engineer reads the positive and negative replies each week and rewrites the weakest step first.
A simple test for any outbound copy
Read the first two lines of the email and ask: could this have been sent to anyone else on the list? If the answer is yes, the personalization is decoration, not substance.
Go deeper: signal-based cold email personalization.
Stage 7: Multichannel (email, LinkedIn and phone)
Some buyers live in their inbox. Others ignore email and answer LinkedIn messages, and some only respond to a phone call. A growth machine reaches the same prospect on more than one channel without sending conflicting messages.
How Artemis keeps channels in sync
Email and LinkedIn are kept in sync inside Artemis. LinkedIn messages are personalized from the same live signals as the emails and queued alongside them. AGP's services page also lists phone in its multichannel sequences.
Sequences are multi-step, with follow-ups, stop-on-reply and sending windows. Stop-on-reply is the rule that matters most: once a prospect answers on any channel, the automated steps stop and a person takes over.
A typical multichannel sequence shape
| Step | Channel | Purpose |
|---|---|---|
| 1 | Signal-based opener with one clear question | |
| 2 | Connection request or short message from the same signal | |
| 3 | Follow-up with a specific example or result type | |
| 4 | Phone | Short call for high-fit accounts |
| 5 | Brief close-the-loop message |
This is an illustrative shape, not a fixed template. The growth engineer sets the order, timing and channels per segment.
If LinkedIn is your main gap, Nerdy Joe also has a page on LinkedIn lead generation services.
Go deeper: email and LinkedIn outreach for agencies.
Stage 8: Replies and long-cycle follow-up
This is where most outbound programs lose money. Replies get missed across dozens of mailboxes, "not now" answers are never followed up, and interested prospects wait a day for a response.
The unified inbox
Artemis pulls every reply from every mailbox into one unified inbox and sorts it by intent:
| Intent | What happens next |
|---|---|
| Interested | Gets a meeting link |
| Not now | Gets a dated follow-up |
| Question | Flagged for an answer from the team |
| Out of office | Sorted separately from real replies |
| Unsubscribed | Honored automatically |
An AI follow-up step reads each reply and picks the next action from a set of allowed actions. Trained SDRs work every reply as part of AGP's appointment setting service, so a person still owns the conversation.
Why "not now" is the most valuable reply
For agencies, a lot of buyers are under contract with another agency or between budget cycles. "Not now" often means "not this quarter," and it is a warm lead with a date attached.
AGP times AI follow-ups to each prospect's next project. AGP's long-cycle example works like this:
- A prospect replies in January that the timing is wrong.
- A dated follow-up is set for April.
- A quarterly check-in goes out in March.
- In April, an AI follow-up arrives with a meeting link.
This is why AGP's timeline says follow-ups compound from month 2 onward. Each month of sending adds more dated follow-ups to future months.
Go deeper: AI reply handling and follow-up.
Want to see it on your agency? Book a call with David and we will walk through what the machine would look like for your offer, your buyers and your current pipeline. Book a call with David.
Stage 9: Booked meetings with prep briefs
A positive reply is not a meeting until it is on the calendar. Artemis routes interested prospects to a meeting link and books them on the client's calendar. AGP's sample uses Google Meet, and scheduling integrations include Cal.com and Calendly.
What the prep brief contains
Each booked meeting comes with an auto-generated prep brief:
- Company context: what the prospect's company does and its size and stage.
- Why now: the signal that started the conversation.
- The conversation so far: every email, LinkedIn message and reply.
- A suggested angle: where to take the first call.
The user is notified as soon as a meeting is booked, and new meetings can trigger a Slack ping. The founder walks into the call knowing why the prospect said yes.
Meetings versus leads
Be clear about what you are buying from any provider. A "lead" might be a reply, a form fill or a name on a list. A booked meeting with context is a different product. Our comparison of appointment setting vs lead generation explains the difference, and Nerdy Joe's appointment setting agency page covers the service side.
Go deeper: booked meetings with prep briefs.
Stage 10: CRM, dashboard and the close
The Close stage is where outbound becomes revenue. The client closes, or AGP's deal closing service handles full-cycle sales from discovery through negotiation to signature, reported in the client's CRM. Either way, the closer has each prospect's full history.
Every touch logged
Every touch is logged automatically. Artemis keeps its own CRM with pipelines, deals, tasks, meetings and a deal board, and it can sync to HubSpot, Salesforce (two-way), Pipedrive and Close.
Automations create deals, log notes and act on calendar, Slack and webhook events. There is a visual automation canvas with triggers such as a reply or a booked meeting, conditional branches and a dry-run test mode. Artemis also connects through Zapier, Make, n8n, a REST API and signed webhooks.
The live dashboard
Clients log in to a live dashboard that tracks sends, replies, interested prospects, meetings and deals from first email to signed contract. That one view answers the question founders ask most: is this working, and where is it stuck?
There is also a voice-driven phone app. From it you can send follow-ups, reschedule meetings, look up targets, retune messaging, change cadence and get metrics recaps.
If you are still choosing a CRM, our guide to the best CRM for marketing agencies compares the common options.
Go deeper: agency CRM, dashboard and closing.
Stage 11: Partner (shared upside and custom installs)
The fifth AGP stage is Partner: AGP shares the upside through revenue share, equity or a custom install. AGP's services page also mentions a minority equity stake in select agencies, by application.
The Artemis Custom Install
The Artemis Custom Install is offered by application. The agency gets a private Artemis build under its own brand, a license to run it for its own clients, training and a sales kit.
It has two uses. The agency grows itself with it, and it resells outbound to existing clients as a new service line. Agencies can let clients run it themselves, or AGP serves those clients behind the agency's brand as white label.
AGP earns a royalty on Artemis-powered client revenue plus a monthly wholesale fee per white-label program. AGP's page gives an illustrative example: a website and SEO agency with 50 B2B manufacturer clients. If 10 of those clients add outbound at the agency's pricing, the agency gains a recurring service line without new hires. Pricing and take-up vary.
Go deeper: white-label outbound for agencies.
What the growth engineer actually does
Software does not run an outbound program by itself. Each AGP client has a dedicated growth engineer who builds, runs and tunes the engine on Artemis.
A typical week (illustrative)
- Monday: review last week's replies by intent, and flag segments where positive replies dropped.
- Tuesday: rewrite the weakest sequence step and launch a new A/B variant.
- Wednesday: check mailbox health, placement tests and any mailbox that was throttled.
- Thursday: build and verify the next list segment, and remove contacts that should not be emailed.
- Friday: check booked meetings and prep briefs, review the dashboard with the client, and set next week's priorities.
This is an illustrative rhythm, not a fixed AGP schedule. The point is that lists, copy, deliverability and replies each get attention every week, not once at launch.
Why a person still matters
AI drafts copy and sorts replies, but a person decides which segment to retire, which offer angle to test and when a mailbox needs rest. AGP's comparison describes the model as "Artemis, with a dedicated growth engineer." Ask any provider who that person is on your account.
Timeline: from kickoff to compounding
AGP's published timeline puts time to launch at about 3 to 4 weeks.
| When | What happens |
|---|---|
| Week 1 | Strategy: ideal buyer, offer, markets |
| Weeks 1 to 3 | Build the engine and warm the mailboxes |
| Weeks 3 to 4 | Launch, with first replies within days |
| Month 2 onward | Follow-ups compound |
The first month after launch is mostly learning: which segments reply, which signals work, which offer angle earns meetings. By month 2, dated follow-ups from earlier "not now" replies start arriving on schedule, which is when the machine starts to feel less like a campaign and more like a pipeline.
Results AGP publishes, and the projection math
AGP publishes its numbers on its results page. The figures below are AGP's reports, attributed as such.
AGP's own outbound, 90 days
AGP reports these numbers from its own outbound over 90 days:
| Metric | Reported |
|---|---|
| Emails sent | 704,000 |
| Prospects reached | 397,000 |
| Replies | 6,300 |
| Positive replies | 779 |
The results page headline block also shows 12 closed deals a month, described as campaign results from the team's outbound work.
A live AGP campaign on the Artemis dashboard
On AGP's results page, a live AGP campaign over the last 30 days shows a 0.98% reply rate, 8.39% of replies interested, 85 leads in the pipeline and 39 open conversations. AGP notes these are campaign averages, not guaranteed results.
One client engine over ten months
AGP reports that one client engine run by its team produced 613 qualified leads over ten months. In AGP's words: "The monthly totals moved up and down. The system kept producing." The client is not named.
The projection math (a projection, not a promise)
AGP uses a simple projection to show how volume turns into clients. These are assumptions, not results:
- Volume: 50,000 emails a month.
- Replies: at about a 1% reply rate, about 500 replies.
- Interested: at about 8% of replies interested, about 40 interested prospects.
- Meetings: about 25 to 30 meetings a month once it builds.
- Clients: about 4 new clients a month.
Each step is an assumption you can change. If your offer converts fewer meetings to clients, or your market replies at half that rate, the bottom line moves with it. Run the numbers with your own close rate and average client value before committing to any provider.
Go deeper: agency outbound math, which walks through the model with your own inputs. For the pricing side of lead generation in general, see our guide to lead generation pricing models.
Engagement models
AGP does not publish prices, and we will not state or estimate them here. It offers four ways to work together:
| Model | How it works | Best fit |
|---|---|---|
| Done-for-you Retainer | AGP runs Artemis for you monthly | Agencies that want the pipeline without running the system |
| Setup + Done-for-you | AGP runs the system and you pay mostly when it wins | Large retainers and long sales cycles |
| Setup + DIY Build and Release | AGP builds the engine and trains your team to run it, with the option to move to done-for-you later | Agencies with someone in-house to own outbound |
| Artemis Custom Install | A private Artemis build under your brand, licensed to run for your clients, by application | Agencies that want to grow and resell outbound as a service line |
AGP's two entry points are "Book a growth audit," a 30-minute conversation to find where revenue is stuck, and "Start a proof run."
How AGP compares with the alternatives
AGP compares Artemis with AGP against an in-house SDR, a lead-gen vendor and outbound software. The Artemis column below uses AGP's own wording. The other columns are our general description of how those options usually work; individual providers differ, so check each one.
| Artemis with AGP | In-house SDR | Lead-gen vendor | Outbound software | |
|---|---|---|---|---|
| Who runs it | Artemis, with a dedicated growth engineer | Your hire, managed by you | The vendor's team | You |
| Data | 693M profiles, enriched and verified | Whatever tools you buy | Varies by vendor | Bring or buy your own |
| Personalization | Written from live signals | Depends on the rep's time | Often template-based | You write it |
| Deliverability | Warmed, monitored, auto-throttled | You set it up | Varies, ask for details | You set it up and monitor it |
| Replies and follow-up | Every reply handled, every "not now" dated | Depends on the rep | Often hands replies back | You handle them |
| Visibility | Live dashboard and phone app | Your CRM, if updated | Vendor reports | Tool dashboards |
| Time to launch | About 3 to 4 weeks | Hiring plus ramp time | Varies | Depends on your setup time |
An in-house SDR gives you control, but you take on hiring, tools, management and turnover. Our guide to SDR agencies covers that trade-off. A lead-gen vendor is faster to start, but quality and ownership vary widely; our cold email agency guide explains what to confirm. Outbound software is the cheapest to buy and the most expensive in your own time.
How to judge any provider, or your own build
Whether you hire AGP, another provider, or build this yourself, the same checklist applies. Ask for evidence on each line.
- [ ] Offer first. Do they work on your offer and ICP before writing emails?
- [ ] Main domain protected. Do they confirm your main domain is never used for cold email?
- [ ] Authentication. Is SPF, DKIM and DMARC set on every sending domain?
- [ ] Warmup window. Do they warm mailboxes for weeks before launch, or launch in days?
- [ ] Placement monitoring. Can they show inbox placement per provider, and what they do when a mailbox slips?
- [ ] Verified data. Is every address verified before sending, and are unknown fields left empty instead of guessed?
- [ ] Real personalization. Is copy built on signals, or a first-name merge field?
- [ ] Reply ownership. Who answers replies, how fast, and what happens to "not now"?
- [ ] Meeting context. Does each meeting arrive with history and a reason the prospect said yes?
- [ ] Visibility. Can you see sends, replies, meetings and deals yourself, any day?
- [ ] Ownership. Who owns the domains, mailboxes and data if you part ways?
- [ ] No guarantees. Be wary of guaranteed meeting counts; ask how they define a qualified meeting instead.
Nerdy Joe's lead generation agency checklist goes deeper on vetting questions.
Who this is not for
An agency growth machine is not the right move for every agency. Be honest about these before you start:
- Agencies without a clear offer they can deliver well. Outbound amplifies the offer. If clients churn or the work is inconsistent, fix delivery first.
- Agencies that cannot take more calls. If the founder has no time for meetings and nobody else can sell, booked meetings will go to waste. AGP's closing service exists for this, but someone still has to own the relationship.
- Very small or local-only markets. If your total market is a few hundred companies in one city, a slow, personal approach often beats a high-volume engine.
- Teams that need results in two weeks. Warmup alone takes weeks, and follow-ups compound over months.
- Anyone looking for a guarantee. AGP does not guarantee results, and the published numbers are reports and projections, not promises.
- Agencies selling mainly to consumers. This machine is built for B2B buyers.
Who is behind AGP
AGP is Agency Growth Partners LLC, based at 980 N. Federal Hwy in Boca Raton, Florida. It was founded by David Tile, who has spent nearly two decades in content and B2B marketing.
In 2011 David founded Article-Writing.co, a Toronto content company that grew to about 20 people and produced thousands of content pieces a month for brands including Shopify, eBay and Progressive. Those brands were Article-Writing.co content clients, not AGP outbound clients. AGP states 15 years operating a B2B agency, 8 figures in lifetime agency sales, building and running B2B teams since 2011, and thousands of customers served. More background is on the about AGP page.
How to start
If you want to build this yourself, use the stage sections above as your build order: offer and ICP, data, verified lists, infrastructure, warmup, copy, multichannel, replies, booking, CRM. Do not skip warmup, and do not launch without a plan for replies.
If you want it built for you, there are two ways in with Agency Growth Partners:
- Book a growth audit, a 30-minute conversation to find where your revenue is stuck.
- Start a proof run if you already know you want to test the engine on your agency.
Or talk to David directly. Bring your current client list, your best offer and your target market, and he will walk you through what the machine would look like for your agency. Book a call with David.
Sources
- Agency Growth Partners, home: https://agencygrowth.partners/
- Agency Growth Partners, Artemis: https://agencygrowth.partners/artemis
- Agency Growth Partners, services: https://agencygrowth.partners/services
- Agency Growth Partners, results: https://agencygrowth.partners/results
- Agency Growth Partners, about: https://agencygrowth.partners/about
- Agency Growth Partners, custom installs: https://agencygrowth.partners/custom-installs
- Agency Growth Partners, start (growth audit and proof run): https://agencygrowth.partners/start
- Google, Email sender guidelines (Gmail Help): https://support.google.com/mail/answer/81126
- Yahoo, Sender best practices: https://senders.yahooinc.com/best-practices
Frequently asked questions
What is an agency growth machine?
An agency growth machine is a repeatable outbound system that finds the right buyers, reaches them by email, LinkedIn and phone, handles every reply, books qualified meetings and tracks each deal to signature. The point is that new business stops depending on the founder's referrals and personal selling time.
Who are Agency Growth Partners?
Agency Growth Partners (AGP) is a Boca Raton, Florida company founded by David Tile that grows marketing agencies. It runs outbound on its own system, Artemis, with a dedicated growth engineer per client, and it also owns Nerdy Joe.
How do you scale a marketing agency with outbound?
Start with a sharp offer for a narrow ideal client, then build separate sending infrastructure, verified lists and signal-based copy. Add LinkedIn and phone, work every reply including the not-now ones, and track every touch in a CRM so the founder only shows up for qualified calls.
How long does it take to launch an outbound growth system for a marketing agency?
AGP's published timeline is about 3 to 4 weeks to launch: strategy in week 1, build and mailbox warmup in weeks 1 to 3, launch in weeks 3 to 4, and compounding follow-ups from month 2 onward. Most of that time is warmup, which should not be skipped.
Can a marketing agency resell outbound to its own clients?
Yes. AGP's Artemis Custom Install, offered by application, gives an agency a private Artemis build under its own brand plus a license to run it for its clients, either self-run or served by AGP behind the agency's brand as white label.
Is cold outbound still allowed under the Google and Yahoo sender rules?
Yes, but the rules raise the bar. Gmail requires authentication and a spam rate under 0.3% for all senders, and senders over 5,000 messages a day to Gmail need SPF, DKIM and DMARC. Yahoo asks bulk senders to honor unsubscribes within 2 days.