Find Your Repeatable Motion. Before Your Reps Ramp.
A structured program to test ICP, persona, and messaging across your full addressable market. Quality and volume in parallel. Hard data on what's working in weeks, not quarters, so the playbook is ready by the time your first reps are too.
You've Got Design Partners. Now You Need a Playbook.
Reflow has working customers and a clear product thesis. Workflow visibility, SOP governance, deployed automation, measured ROI. That's evidence the product solves a real problem for operations teams. Past the design-partner stage, the question shifts: which workloads, which verticals, and which personas pull hardest? Where does the repeatable motion actually live?
This is a matrix problem, not a list problem. Vertically, customer service vs accounting/finance vs BPO vs general ops all behave differently. Horizontally, the practitioner buyer (ops manager, workforce manager) and the budget buyer (COO, CFO, CEO) respond to completely different framings. Until those cells are tested with real data, every hypothesis about ICP is a guess.
You could hire SDRs and have them grind through one channel, but the first reps you bring on need a playbook that already works, not a discovery exercise. The cleanest way to compress that discovery is a structured test of the matrix at scale, in parallel, before the headcount lands. Cold email and LinkedIn at scale are the only channels that let you do that fast enough to matter.
Two Tracks. Quality and Volume. Running in Parallel.
Find PMF the way a good GTM team would, not the way an SDR shop would. Two channels working in parallel, each pointed at a different question. Quality answers "do the right buyers convert when reached properly." Volume answers "which message and audience pulls hardest across the market." You need both running simultaneously to compress the discovery cycle.
Both tracks share the same infrastructure (graph8 platform, your contact universe, unified reporting) so signal from one informs the other. A hyperpersonal meeting that converts tells you the message is right; a volume reply pattern tells you it's right for that audience. Together they answer "what works" much faster than running either alone.
The volume track in detail:
Every contact in a test cell receives the same core positioning. AI-adjusted copy variation per send keeps deliverability high without diluting the test. Clean signal: when replies spike, you know why.
Email 1: Linkless. Gets through to the inbox. Optimised for direct replies, your strongest intent signal. Email 2: Follows up with a link to a purpose-built landing page with an ROI calculator.
Each page is built around a specific ICP and vertical: workflow ROI calculators, automation savings estimators, meeting booking straight to founder calendars. Hosted on sending domains so your main site stays clean.
Replied but didn't book? Clicked but didn't convert? These are warm signals. Automated workflows cycle them into follow-up. LinkedIn connects, phone calls, second-touch emails. The hyperpersonal track also taps this pool for next-month targeting.
The Test Is Two-Dimensional. So Is the Map.
Reflow's ICP isn't a line, it's a grid. Vertically, the workload type (customer service, finance/accounting, BPO, general ops) determines whether the value prop lands as cost reduction, governance, or capacity. Horizontally, the practitioner buyer reads a different message than the budget buyer. We test both axes in parallel so we know not just who converts, but which version of the pitch they convert on.
Illustrative test cells. Final framings come out of the TAM Analysis workshop based on which workloads, verticals, and persona signals show the strongest data coverage and intent density.
Each cell of the matrix gets its own campaign domain landing page. Reflow's brand language carries across (Season Serif headlines, warm parchment palette, DM Mono labels) so the page still looks like Reflow, but the copy and the calculator change to match the cell. Below is what a customer-service-practitioner page looks like.
Cut handle time 30% without ripping out your CS stack.
Reflow watches how your CS team actually works, surfaces the steps worth automating, and deploys the automation on top of your existing tools. You see the workflow, the savings, and the SOP. All in one place.
Workforce & Workflow Intelligence for Enterprise Operations. Currently deployed at a handful of CS, finance, and BPO ops teams in the 200 to 1,500 FTE range.
Every Layer of Engagement Is Signal
Meetings are the end goal, but they're not the only valuable output. Each stage of the funnel tells you something about your market, your message, and your product. The real value of this program is that you're generating structured learning at every level.
Volume is the foundation. Two emails per contact per month. One linkless for replies, one with a landing page link. This is your reach.
Your first real signal. Not every reply is positive. Some are "not interested", some are "wrong time", some are "tell me more." All of it is data. Positive reply rate tells you whether your message lands. Objection patterns tell you what to fix.
People who clicked through to the landing page. They didn't reply, but they were curious enough to look. This is a different kind of intent. Quieter, but real. Tracked at no credit cost. These people are now in your re-engagement pipeline.
The conversion event. Comes from two sources: direct replies that convert to a call, and follow-up automation on campaign visitors (LinkedIn connects, retargeting emails, phone calls from founders). This is where revenue starts.
Realistic Projections by Scale
Conservative estimates for a new product entering the market. Reply rates and visitor rates are based on industry benchmarks for cold outbound. Meeting conversion factors in that most replies are not immediately positive: objections, wrong timing, and "not interested" are all part of the data.
| Funnel Stage | 10K | 50K | 100K | 500K |
|---|---|---|---|---|
| Contacts reached | 10,000 | 50,000 | 100,000 | 500,000 |
| Emails sent (2 per contact) | 20,000 | 100,000 | 200,000 | 1,000,000 |
| Replies (0.5–1%) | 50–100 | 250–500 | 500–1,000 | 2,500–5,000 |
| ↳ Positive / interested | 10–30 | 50–150 | 100–300 | 500–1,500 |
| ↳ Objections / not now | 20–40 | 100–200 | 200–400 | 1,000–2,000 |
| ↳ Not interested | 20–30 | 100–150 | 200–300 | 1,000–1,500 |
| Campaign visitors (1–5%) | 100–500 | 500–2,500 | 1,000–5,000 | 5,000–25,000 |
| Estimated meetings/month | 5–10 | 25–50 | 50–100 | 250–500 |
What a TAM Analysis Produces
Each row becomes a campaign segment with its own contact list, message hypothesis, and landing page. Numbers below are illustrative; real data comes from graph8's 750M+ contact database with live intent signals.
| Vertical cell | Target persona | Companies (US, 200-2K FTE) | Contacts | Signal |
|---|---|---|---|---|
| Customer Service Ops | VP CS, Head of CS Ops, Workforce Mgr | 14,800 | 52,400 | Hiring CS agents, automation tools deployed |
| Finance & Accounting Ops | Controller, CFO, FP&A Director | 9,600 | 36,200 | Close-cycle visibility, audit + governance |
| BPO / Outsourced Ops | COO, Director Operations | 3,200 | 12,800 | Margin pressure, client-reporting demand |
| General Operations | COO, Head of Ops, Ops Mgr | 26,400 | 84,600 | Cross-functional automation discovery |
| Logistics & Fulfillment | VP Operations, Director WMS | 7,400 | 22,100 | Workflow visibility, capacity planning |
| Total Addressable | 61,400 | 208,100 |
The TAM Analysis doesn't just count, it prioritises. Which segments show the strongest buying signals? Where is data coverage deepest? These decisions shape which 50K to 100K you target first.
- Industry & vertical
- Company size & geo
- Job titles & seniority
- Tech stack signals
- Intent keyword surges
- Hiring patterns
- Funding & growth
- Site visit signals
Three Components. Two Tracks. One Engagement.
Pricing lives in one place further down. These are the three pieces of work that make up the program. Outbound runs both tracks: the volume track (mass campaigns across the matrix) and the quality track (hyperpersonalization for top ICP). Content builds the landing pages and assets. TAM Analysis is the workshop that maps the matrix you'll test against. The Outbound and Content programs are always included; TAM is optional below 50K contacts and required above.
TAM Analysis Required above 50K
A hands-on workshop where we map your full addressable market across both axes (vertical × persona), pressure-test the matrix cells, and produce a quantified segmentation. Each cell comes with real contact lists ready for campaign launch. Dan runs this personally.
- ICP matrix workshop with the founding team
- Quantified TAM report across verticals × personas
- Signal analysis: intent keywords, hiring patterns, ops tooling stack
- Prioritised cell recommendations by signal density and account size
- Exportable contact lists per cell, ready for launch
Hyperpersonalization (Quality Track) Included in Outbound
One-of-one LinkedIn and email research for the highest-priority cells coming out of the TAM Analysis. Hand-crafted relevance per contact: their workflow, their tooling, their hiring signals, their automation maturity. Roughly 1 meeting booked per 100 emails sent. This is where the calendar fills up. It runs inside the Outbound Program at no extra cost, with target volume scaling alongside the volume tier you choose.
- 1,000 to 2,000 top-ICP contacts researched per month (scales with tier)
- Individualised LinkedIn and email touches per contact
- Founder-calendar booking flow
- Replies and meetings flow into the same reporting view as volume
- Targets refreshed monthly based on what the volume track surfaces
Outbound Program (Volume Track) Always included
Full campaign infrastructure and execution. Domains, mailboxes, warmup, copy, AI variation, sent at scale across the matrix cells. Full analytics and reporting in the graph8 platform.
- Domain purchase, DNS, mailbox provisioning, warmup cycle
- Campaign copy per cell with AI-adjusted variation per send
- One messaging test per cell per month
- Reply tracking, sentiment classification, CRM routing
- Visitor identification and follow-up workflow automation
Content Program Always included
Purpose-built landing pages and assets for each campaign cell. Designed for ops buyers with workflow ROI calculators, automation savings estimators, and direct meeting booking. All in Reflow's brand language, hosted on sending domains.
- One landing page per matrix cell, on campaign domains
- ROI calculator or workflow-savings tool per page
- Meeting booking flow to founder or rep calendars
- Visitor tracking and re-engagement workflows
- Monthly iteration based on click and conversion data
How Credits Work
Everything running through the graph8 platform is powered by credits. Here's what each action costs:
Campaign landing page visitors are tracked at no additional credit cost. Credit pricing: first 75,000 at $0.0066/credit ($495). Additional at $0.0055/credit. Standard pack: 75,000 credits for $500.
What Scale Costs in Credits
Each contact gets 2 emails per month. Mailboxes provisioned at ~40 sends/day, ~3 mailboxes per domain. Volume break: first 75,000 credits/month at $0.0066, additional at $0.0055. Below is the all-in credit picture per scale tier — these flow directly into the unified pricing further down.
| Scale tier | 50K contacts | 100K contacts | 500K contacts |
|---|---|---|---|
| Sending infrastructure | 30 domains · 85 mailboxes | 60 domains · 170 mailboxes | 285 domains · 850 mailboxes |
| Sends/month | 100,000 | 200,000 | 1,000,000 |
| Month 1 credits | 288,750 | 577,500 | 2,850,000 |
| Ongoing credits/month | 163,750 | 327,500 | 1,637,500 |
| Month 1 cost | ~$1,670 | ~$3,260 | ~$15,760 |
| Ongoing cost/month | ~$985 | ~$1,885 | ~$9,090 |
| 3-month credit cost | ~$3,600 | ~$7,000 | ~$33,900 |
Credit costs scale with volume. The fixed costs (setup, monthly service) don't. See unified pricing below.
This Is Not What Other Agencies Sell You
Most outbound agencies hand you a contract and a "we'll figure out the list later" promise. You bring the contacts (or buy them separately from ZoomInfo or Apollo at $30K+ a year), you bring the workflows, you bring the reporting tools, you bring the integrations. The agency layers labour on top.
The program here is different on three structural points that change the math entirely.
One Program. One Decision. One Dial.
Pricing is built from a one-time setup, a fixed monthly service fee, and credits that scale with volume. The Outbound Program runs both tracks (volume and hyperpersonalization quality) inside one fee. The only real choice is the scale you want to test at, which determines whether the TAM Analysis is required.
| 50K (Targeted) | 100K (Full Scale) | 500K (At Scale) | |
|---|---|---|---|
| TAM Analysis | Optional ($10,000) | Required ($10,000) | Required ($10,000) |
| Outbound + Content setup | $5,000 | $5,000 | $5,000 |
| One-time setup | $5,000 (or $15,000 with TAM) | $15,000 | $15,000 |
| Service (Outbound + Content, both tracks) | $3,000/mo | $3,000/mo | $3,000/mo |
| Platform credits | ~$985/mo | ~$1,885/mo | ~$9,090/mo |
| Monthly all-in | ~$3,985/mo | ~$4,885/mo | ~$12,090/mo |
| Hyperpersonal targets/mo (included) | ~1,000 | ~1,500 | ~2,000 |
| 3-month total | ~$17,600 (or ~$27,600 with TAM) | ~$31,000 | ~$51,000 |
All prices in USD. Setup is one-time. Service is fixed monthly and covers both volume and hyperpersonalization tracks. Credit estimates use the volume break (first 75K credits/mo at $0.0066, additional at $0.0055).
Optional add-ons (credit cost only, no service fee)
Live in Two Weeks. Signal in Week Three.
This is the fastest live timeline in the agency category. Most outbound shops need 4 to 6 weeks because they're stitching tools together. Here, infrastructure and workflows are pre-wired, so the only real work is positioning, copy, and list build.
ICP workshop or segment selection. Domain purchase and DNS. Mailbox provisioning begins. Landing page design kickoff.
Mailbox warmup running in parallel. Contact lists built and verified. Campaign copy written. Landing pages deployed on sending domains. Reply classification and visitor workflows configured.
First campaigns sending. Reply monitoring and sentiment classification active. Landing page tracking live. Meetings start booking.
New messaging angle each month. Updated landing pages. Performance review. Segment refinement. Re-engagement workflows adjusted based on data.
PMF reads come in waves. Here's what you'll know by when.
First reply patterns visible. Open rates stable. Initial sentiment distribution forming. You can already see whether the message is landing.
Statistically meaningful reply data on the first message angle. Clear signal on whether to scale, kill, or iterate. Objection patterns mapped.
Two angles tested. Comparative performance across segments. First read on which audience pulls hardest. Pipeline health visible.
Three messaging tests complete. Winning cell (vertical + persona) and winning angle identified. Playbook ready to hand to the first reps as they ramp.
Full Reporting in Platform
Everything runs through graph8. Real-time access to every metric, campaign, and contact interaction. This is your data and your IP.
- Send volume and mailbox health per domain
- Reply rates by campaign, segment, message
- Full copy history. See exactly what was sent
- Campaign-attributed landing page visitors
- Meeting pipeline and booking rates
- Contact-level engagement timeline
- Anonymous B2B visitor identification
- Exportable data. Take it with you anytime
Getting Started
Choose Full Scale or Targeted Launch. Bring the CEO. Happy to walk through the program together.
Discovery call, domain purchase, and infrastructure setup begin the same week.
Emails in inboxes by day 14. Replies flowing. Meetings booking. First message-fit verdict by week 5.
Confidential. Prepared for Reflow by CIENCE · May 2026
Daniel Conn · General Manager · dan@graph8.com