Platform-Evidence Targeting, Run Through Apollo
Most web design outreach starts from a list of businesses and works backwards to a reason to email them. Apollo lets you invert that: start from the evidence that a redesign is due, and build the list from it. Apollo's technographic filters surface companies still running on legacy CMS platforms and aging page builders — and, more interestingly, companies whose stack tells a growth story their website hasn't kept up with. A company running a modern marketing automation platform, a CRM, and an analytics suite on top of a site built eight years ago isn't a cold prospect; it's a business that has already outgrown its website and just hasn't scheduled the rebuild.
What Apollo doesn't do is provision the sending infrastructure that outreach runs on — the secondary domains, mailboxes, and dedicated IPs underneath your sequences. That's where ColdRelay fits. This guide covers how design agencies wire the two together, and how to turn Apollo's platform and signal data into outreach that arrives precisely when a redesign budget exists.
Why Run Apollo on ColdRelay Infrastructure
Apollo bundles a B2B contact database, technographic and signal filters, and a sequencing engine into one platform — but its sequences send from whatever mailboxes you link under Settings → Mailboxes. Apollo doesn't provision domains, create mailboxes, or manage the sending reputation underneath; that layer is yours to supply, and it's the layer that decides whether your carefully filtered list ever sees your email.
That matters doubly for the platform-evidence model, because the targeting is the expensive part. When you've invested in building saved searches around legacy CMS footprints, funding events, and new-CMO signals, each prospect on the list is worth far more than a name pulled from a directory — and losing them to a spam folder wastes the research, not just the send. ColdRelay closes that gap: mailboxes provision on isolated Azure tenants with dedicated IPs, with SPF, DKIM, and DMARC pre-configured, ready in about an hour, holding 95%+ inbox placement. There's no warmup waiting period either — warmup runs continuously as part of each mailbox's 4 sends/day budget (2 outbound + 2 warmup), so a freshly built Apollo list can be in-market the same day.
The pairing is additive, not competitive: ColdRelay is the infrastructure, Apollo is the data and sending layer on top. You keep Apollo's filters, personas, and multi-channel sequences — you just run them on mailboxes built to land.
Visit Apollo →Connecting ColdRelay Mailboxes to Apollo
Provision mailboxes on ColdRelay
Pick secondary domains adjacent to your agency brand — never the domain that hosts your portfolio. Platform-evidence targeting is a precision model, not a volume one, so most agencies start with 10-30 mailboxes; ColdRelay supports 100-150 mailboxes per domain, so even a larger pool fits on a single domain. Everything provisions on isolated Azure tenants with dedicated IPs in about an hour, with SPF, DKIM, and DMARC already configured.
Link the mailboxes under Settings → Mailboxes
Export your mailbox credentials from the ColdRelay dashboard, then in Apollo go to Settings → Mailboxes and link each ColdRelay mailbox as a sending account. Once linked, Apollo can rotate sequence sends across the pool — and every mailbox you add is sending capacity for the same set of saved searches.
Set per-mailbox daily send limits to match the ColdRelay budget
In each linked mailbox's settings, set Apollo's per-mailbox daily send limit to 2 outbound emails per day — mirroring ColdRelay's per-mailbox budget of 4 sends/day total, split 2 outbound + 2 warmup. ColdRelay's warmup runs continuously in the background, so Apollo only needs to handle the outbound half.
Build saved searches around platform evidence
This is where the model lives. In Apollo's company search, layer the technology filters to define your evidence tiers: one saved search for companies on legacy CMS platforms and dated page builders, and a second — usually hotter — for companies running modern marketing tools (automation platforms, CRMs, chat widgets) whose website technology hasn't changed in years. Stack timing signals on top: recent funding rounds and recently hired marketing leadership are the two that most reliably precede a redesign budget. Save the decision-maker side as personas — owner or marketing lead at smaller companies, CMO or head of digital at funded ones — so new matches flow into the same lists automatically.
Build an evidence-led sequence and launch
Create an Apollo sequence that opens with the platform evidence itself — what their stack says about their growth versus what their site says about it — and use Apollo's multi-channel steps to escalate: email first, a LinkedIn connection step for the higher-value funded accounts, and a call step for prospects who open repeatedly but don't reply. Enroll contacts from your saved searches, let Apollo rotate sends across the linked ColdRelay mailboxes, and recheck the saved searches weekly — new funding events and CMO hires are new prospects, on a clock.
The Platform-Evidence Apollo Playbook
Sell the gap between the stack and the site
The highest-intent prospect in Apollo isn't the company with the oldest website — it's the company whose technology investment has outrun it. A business paying for marketing automation, a CRM, and analytics while running on a site built before any of those tools existed has already decided growth matters; the website is the lagging asset. Your opener names that gap directly: they're driving modern traffic into an outdated front door. That's a business argument, not a design critique — and it reads very differently to a CMO than "your site looks dated."
Tier your saved searches by evidence strength
Not all platform evidence is equal, so don't sequence it equally. Tier one: modern stack on an old site plus a timing signal — recent funding or a newly hired marketing leader. These get your multi-channel treatment: email, LinkedIn step, call step. Tier two: legacy CMS with signs of active marketing spend. Email-only, but personalized to the platform. Tier three: dated platform, no other signal — a light-touch nurture sequence. Apollo's saved searches keep the tiers refreshing automatically; your job is matching effort to evidence.
Time outreach to the budget, not the website
An outdated website is a constant; a redesign budget is an event. Funding rounds and new marketing leadership are the two events that most reliably create one — a new CMO almost always audits the website in their first quarter, and post-raise companies suddenly have the money to act on what they already knew. Check your signal-stacked saved searches weekly and sequence new matches within days, because the window is real: the same prospect that books a discovery call two weeks after a funding announcement may already be in another agency's proposal process by week eight.
Migration proof beats portfolio breadth
When the targeting is platform-based, the proof should be too. Link one case study of a site you moved off the prospect's specific platform — the legacy CMS they're on, named in the email — with a before/after on load time, mobile performance, or conversion rate. "We migrate companies off [their platform]; here's what happened to the last one" answers the question an evidence-led opener raises. Keep that case study on your clean primary domain; since sends run on ColdRelay secondary domains, the proof link arrives with zero outbound baggage on it.
Typical Platform-Evidence Outbound Benchmarks (Apollo + ColdRelay)
| Metric | Benchmark | Notes |
|---|---|---|
| Inbox placement rate | 95%+ | Dedicated IPs and isolated tenants — critical when each technographically-qualified prospect is expensive to replace |
| Reply rate, signal-stacked tier | 5-9% | Modern stack on an old site plus funding or a new CMO; evidence-led openers to in-market buyers |
| Reply rate, platform-only tier | 2-4% | Legacy CMS evidence without a timing signal — qualified, but not yet budgeted |
| Outbound capacity per mailbox | 2/day | 4 sends/day total per mailbox — 2 outbound + 2 warmup |
| Days from funding/CMO signal to first touch | Under 7 | Weekly saved-search reviews keep new signals inside the window before competing agencies arrive |
What It Costs: Apollo + ColdRelay
You pay per mailbox per month for the infrastructure, with volume tiers that drop as you scale (see the table below). DNS, IPs, and isolated Azure tenants are included — and because platform-evidence targeting is a precision model, most agencies run it on a modest mailbox pool rather than scaling for raw volume.
Apollo is billed separately on its own subscription for the contact database, technology and signal filters, saved searches and personas, and the sequencing engine — priced per its current plans, with technographic filtering typically tied to plan tier.
The two bills map to the two halves of the model: Apollo's subscription buys the evidence — who's on what platform, who just raised, who just hired a CMO — and ColdRelay's per-mailbox infrastructure makes sure the email built on that evidence actually lands. Precision targeting plus reliable placement is the whole economics of the play.
| Mailboxes | ColdRelay price / mailbox / month |
|---|---|
| 1–199 | $1.00 |
| 200–999 | $0.85 |
| 1,000–4,999 | $0.70 |
| 5,000+ | $0.55 |
Each mailbox sends 4 emails per day — 2 outbound to prospects + 2 warmup. ColdRelay provisions mailboxes on isolated Azure tenants with dedicated IPs; Apollo handles the sending, sequencing, and inbox rotation on top.
Frequently Asked Questions
Does ColdRelay replace Apollo?
No. They're complementary layers. Apollo supplies the data and the sending software — the contact database, technology filters, saved searches, personas, and sequences. ColdRelay provides the underlying domains, mailboxes, and dedicated IPs that those sequences send from, linked under Apollo's Settings → Mailboxes. You use them together: infrastructure underneath, data and sequencing on top.
How accurate are Apollo's technology filters for finding redesign prospects?
Accurate enough to build tiers on, as long as you treat them as evidence rather than verdicts. Platform detection is strongest for widely fingerprinted technologies — major CMS platforms, page builders, marketing automation tools — which happen to be exactly what this playbook filters on. Spot-check a sample of each saved search before sequencing it, and let the reply data calibrate you: if a tier-one search is returning sites that were recently rebuilt, tighten the filters before adding mailbox capacity behind it.
How many mailboxes does this model actually need?
Fewer than most cold email playbooks. Platform-evidence targeting is constrained by qualified supply — how many companies match your evidence tiers each week — not by sending capacity. At 2 outbound sends/day per mailbox (4 total with warmup), 15 mailboxes gives you 30 sends/day, around 600 a month, which comfortably covers a multi-tier saved-search portfolio in most regions. Scale the ColdRelay pool when your saved searches consistently produce more new matches than your sequences can absorb, not before.
Can I use Apollo's call and LinkedIn steps with ColdRelay mailboxes?
Yes — ColdRelay carries the email channel, and Apollo's other channels run alongside it untouched. A common pattern for the signal-stacked tier: email steps send from ColdRelay mailboxes within the 4/day budget (2 outbound + 2 warmup), a LinkedIn connection step adds a second touch for funded accounts, and a call step picks up prospects who keep opening without replying. Multi-channel pressure on a small, high-evidence list is where Apollo's sequence design earns its keep.