Personalized Multi-Touch Outreach Sequence
Builds on Topic 5.
What you'll produce
A multi-touch outreach sequence — 5–7 coordinated touches across email, LinkedIn, and phone — aimed at booking a first meeting with the top account from your prospect list (Deliverable 1). This is the single most-evaluated artifact in an SDR interview: the work sample that proves you can turn a cold name into a booked discovery call. A great sequence isn't a clever message; it's a system — each touch leads with the prospect's problem (not your product), references a specific "why now," varies the channel and angle so you don't repeat yourself, and ends in one low-friction call to action. This deliverable proves the Topic 5 skills employers pay for: personalize at scale, lead with value, stay brief, persist politely, and drive every touch toward a single booked meeting.
Instructions
- Anchor to one account and one named contact. Pull your top account and its champion/economic-buyer contact straight from Deliverable 1 (ICP & Prospect List). Write the contact's name, title, company, and the specific "why now" trigger at the top so every touch can lean on it. One sequence = one human. (Look-alike accounts get the same sequence with the trigger swapped — that's the point of a system.)
- Pick the meeting as your only goal. Decide the single CTA the entire sequence drives toward — a 15-minute discovery call. Write it once and keep it identical (or near-identical) across touches. Do not ask for the sale, a demo, or "a quick chat about our platform." Low-friction, time-boxed, value-framed: "Worth a quick 15 minutes Thursday?"
- Map the cadence before you write a word. Lay out 5–7 touches over ~12–18 business days, alternating channels so you're never silent and never repetitive. A proven SDR cadence: Day 1 email + LinkedIn connect, Day 3 call + voicemail, Day 5 email (new angle), Day 8 LinkedIn message, Day 11 call, Day 14 "break-up" email. List each touch's day, channel, and angle in a table first.
- Write each touch to lead with their problem, not your product. Every message opens on the prospect's world — the trigger, the cost of the pain, a peer outcome — before Lumadesk is ever named. Ban the words "I wanted to reach out," "I hope this finds you well," and any feature list. If a touch could be sent to any company, it's not personalized; rewrite it.
- Keep emails brutally short and skimmable. 50–90 words. A relevance hook in line one, the pain quantified, one outcome/proof point, one CTA. No paragraphs over two sentences. Write subject lines under ~4 words that reference them, not you (e.g., "GearGrid + response times").
- Vary the angle, not just the channel. Each touch needs a new reason to engage — trigger event, a quantified cost, a peer/result proof point, a relevant insight, a soft "should I close your file?" Repeating the same pitch louder is what gets SDRs ignored.
- Never invent a named customer or a specific result you can't source. Do not write "[Company X] cut response time from 14 hours to 2" unless that's a published, approved reference you could defend in front of the prospect. A fabricated case study is a fireable claim and an easy way to lose a deal the moment the prospect asks for the source. When you don't have an approved named reference, use an honest proof frame instead: a category benchmark ("teams that hold response times under 2 hours through a volume spike typically…"), an anonymized range ("the DTC teams we work with usually see a 30–40% lift"), or "teams we work with typically…". Defensible and unnamed beats specific and fake — every time.
- Write a real cold-call opener script. A 30–45 second spoken opener: a permission-based or pattern-interrupt opening line, the reason for the call tied to their trigger, a one-sentence value hook, and the ask for the meeting — plus a scripted response to the #1 brush-off ("I'm not interested" / "send me something"). This is graded live in interviews; write it the way you'd say it out loud.
- End with a graceful break-up touch. The final email gives the prospect an easy out ("Should I close your file?") — these often pull the highest reply rate of the whole sequence because they create urgency without pressure.
- Sanity-check against the rubric. Read every touch and ask: Does it lead with their problem? Is there exactly one CTA? Could I send this to a different company unchanged (bad)? Is it under 90 words? Is every proof point one I could defend if the prospect asked "which customer? what's the source?" Fix anything that fails before you submit.
Worked example
Account: GearGrid (220-person DTC outdoor-gear retailer) · Contact: Maya Chen, Head of Customer Support · Product I sell: Lumadesk (AI-powered support helpdesk — shared inbox, ticketing, AI reply drafting), ~$40/agent/mo, ~$18k–$60k ARR. "Why now" trigger: Order volume doubled in the last two quarters; GearGrid is hiring three support agents; recent Trustpilot reviews specifically cite slow response times ("waited 4 days for a reply"). Single CTA across the whole sequence: a 15-minute call to compare GearGrid's current response times against similar DTC support teams.
Cadence map
| # | Day | Channel | Angle |
|---|---|---|---|
| 1 | Day 1 | Trigger event (doubled volume + Trustpilot) | |
| 2 | Day 1 | LinkedIn connect | Light, personal, no pitch |
| 3 | Day 3 | Cold call + voicemail | Reason for call = their trigger |
| 4 | Day 5 | Quantified cost of slow replies + peer proof | |
| 5 | Day 8 | LinkedIn message | Relevant insight / benchmark |
| 6 | Day 11 | Cold call | Second attempt, new time-of-day |
| 7 | Day 14 | "Break-up" email | Easy out, creates urgency |
Touch 1 — Email (Day 1) Subject: GearGrid response times
Hi Maya,
Doubling order volume in two quarters is a great problem — until the support queue doubles with it. I noticed a few recent Trustpilot reviews mentioning multi-day waits, and that you're hiring three more agents to keep up.
Most DTC teams we work with hit that wall and assume the only fix is more headcount. It usually isn't — the teams that get ahead of it typically pull first-response time from the better part of a day down to under two hours without adding agents.
Worth a quick 15 minutes Thursday to compare your response times to similar DTC teams?
— [Your name], Lumadesk
Touch 2 — LinkedIn connection request (Day 1)
Hi Maya — following GearGrid's growth this year (that volume jump is no joke). I work with DTC support leaders on keeping response times down as they scale. Would love to connect.
Touch 3 — Cold call + voicemail (Day 3)
Opener (spoken, ~35 seconds):
"Hi Maya, it's [Your name] from Lumadesk — I know I'm an interrupt, can I have 27 seconds and then you can tell me to get lost?" (pause for the yes) "Appreciate it. I'm calling because I saw GearGrid's order volume roughly doubled and you're hiring three support agents — and a couple of Trustpilot reviews are calling out slow reply times. The reason I called specifically: we help DTC support teams cut first-response time in half without adding headcount, and I figured that's relevant right now. Worth grabbing 15 minutes later this week to see if the numbers line up for GearGrid?"
Brush-off handler — "Just send me something":
"Happy to — so I send something useful and not generic, can I ask one quick thing: is the bigger pain right now the response-time backlog, or training the three new agents fast enough? I'll tailor it to that and follow up Thursday."
Voicemail (if no answer, ~20 seconds):
"Hi Maya, [Your name] from Lumadesk. Saw GearGrid doubled volume and is hiring three support agents — I called because we help DTC teams cut response times in half as they scale, which seems timely. I'll follow up by email; or grab me at [number]. Thanks, Maya."
Touch 4 — Email (Day 5) Subject: the cost of a 4-day reply
Hi Maya,
Quick math that might be useful: if a third of GearGrid's tickets wait days for a first reply, that's the window where DTC shoppers churn or file chargebacks — most teams we see lose 5–8% of at-risk revenue there.
Three new agents will help, but onboarding takes weeks and the backlog compounds now. Lumadesk's AI drafts the first reply so a smaller team clears the queue faster — in the DTC teams we work with, that usually lands as a 30–40% lift in tickets handled per agent.
Open to 15 minutes Thursday or Friday to see if that math holds for GearGrid?
— [Your name]
Touch 5 — LinkedIn message (Day 8)
Maya — thanks for connecting. Not pitching, just thought this was relevant: across DTC support teams we work with, the ones who held response times under 2 hours through a volume spike all did it by automating the first draft, not by hiring their way out. Happy to share the benchmark numbers on a quick call if useful — would 15 minutes Thursday work?
Touch 6 — Cold call (Day 11, different time of day)
Opener (spoken, ~30 seconds):
"Hi Maya, [Your name] at Lumadesk again — I'll be quick. I emailed you about GearGrid's response times as you scale through the volume jump. I won't keep chasing if it's not a priority — but if cutting first-response time in half before the three new agents ramp would actually move the needle this quarter, it's a 15-minute conversation. Is that worth a look, or should I park it?"
Touch 7 — "Break-up" email (Day 14) Subject: close your file?
Hi Maya,
I've reached out a few times about GearGrid's response times as volume scales — haven't heard back, which usually means one of three things: it's not a priority right now, you've got it handled, or the timing's just off.
Totally fine either way — should I close your file? If it is still on your list, I'll hold 15 minutes Thursday at 2pm; just reply "yes" and it's yours.
Either way, good luck with the three new hires.
— [Your name], Lumadesk
Why this sequence works (self-review): Every touch opens on GearGrid's world — the volume spike, the Trustpilot reviews, the three new hires — before Lumadesk is named. The angle changes each time (trigger → quantified cost → benchmark insight → urgency), so touch 6 doesn't feel like touch 1 repeated. There's exactly one CTA throughout: a 15-minute call, time-boxed and framed around their numbers, never "a demo of our platform." Channels alternate so the prospect hears from me without being spammed on one channel. The break-up email creates urgency with an easy out. And the call opener is written to be said, with a brush-off handler — exactly what gets tested in an SDR loop.
On the proof points — read this twice. Notice that nowhere in this sequence is a named customer or a fabricated stat used. The proof frames are deliberately honest: "the teams that get ahead of it typically pull first-response time under two hours" (a category benchmark) and "a 30–40% lift in tickets handled per agent" (an anonymized range across teams we work with). That's a choice, not a weakness. A junior rep's instinct is to manufacture a crisp "[Brand] cut response time from 14 hours to 2" because it sounds concrete — but inventing a customer result is a fireable claim, it collapses the second a prospect asks for the source, and it can sink a real deal. Specific-and-fake loses to defensible-and-honest. If you do have an approved, published reference, name it and link it; if you don't, frame it the way this example does and never make up the rest.
Rubric
The app's AI scores the learner's submission against these criteria and gives feedback. Levels: Needs work (1) / Solid (2) / Excellent (3). Passing = every criterion at Solid or above.
- Personalization & "why now" — 1: generic; could be sent to any company · 2: references the account and a real trigger · 3: every touch is anchored to a specific, researched trigger that couldn't be copy-pasted to another account.
- Leads with the prospect's problem, not the product — 1: opens by pitching features/the company · 2: most touches open on the prospect's pain before naming the product · 3: every touch leads with their problem/value and quantifies the cost; the product appears only as the answer.
- Honest, defensible proof — 1: invents a named customer or a specific result the rep couldn't source (e.g., a made-up "Company X cut response time from 14h to 2h") · 2: proof points avoid fabricated names but lean on vague or unbacked claims · 3: every proof point is defensible — an approved named reference, a category benchmark, an anonymized range, or "teams we work with typically…" — with no invented customers or numbers.
- Single low-friction CTA — 1: no clear ask, or asks for the sale/multiple things · 2: a consistent meeting ask across touches · 3: one identical, time-boxed, value-framed meeting ask in every touch, easy to say yes to.
- Cadence & channel variety — 1: one channel or no plan · 2: 5–7 touches across ≥2 channels over a sensible timeline · 3: a deliberate multi-channel cadence (email + LinkedIn + call) with a clear day-by-day map and a graceful break-up touch.
- Angle variety across touches — 1: the same message repeated louder · 2: touches use somewhat different angles · 3: each touch brings a genuinely new reason to engage (trigger, quantified cost, peer proof, insight, urgency).
- Brevity & skimmability — 1: long, dense, or rambling · 2: mostly short with clear asks · 3: every email 50–90 words, short subject lines, two-sentence-max paragraphs, instantly skimmable.
- Cold-call opener quality — 1: missing, or a feature dump · 2: a usable spoken opener with a reason for the call and an ask · 3: a tight, say-it-out-loud opener with a permission/pattern-interrupt open, trigger-based reason, value hook, meeting ask, and a scripted brush-off handler.