RightClick:AI · Prepared for SuperX AI Technology Limited

What Sets Us Apart

You've asked for testimonials from comparable engagements. Here's the honest answer: we don't have a case study at the $50M enterprise hardware deal size. We could dress something up, but that's not how we operate. What we'd ask you to evaluate instead is the work product you're already holding.

March 2026 Credibility
Projected Indicators
Reply rate (all add-ons)
2.0–2.5%
vs 0.8% baseline
Replies over 6 months
300–375
vs 104 baseline
Meetings booked total
120–150
vs 41 baseline
Per rep / week (4 reps)
3.1–3.9
vs 1.08 baseline
How we do it
Campaign Strategy
How our approach differs — and what SuperX gets from it.
1
Campaign built on your data, not a template.
The proposal we delivered was architected from SuperX's actual lead list and ICP — 4-tier segmentation across 37 industries, 4 buyer personas each with their own email sequence, 60 unique messaging variants, and volume projections modelled to your mailbox count. The attached appendix walks through the full thinking in detail.
2
Persona-level sequencing, not one-size-fits-all.
Each job function in the buying committee — Champion, Technical Buyer, Economic Buyer, Influencer — receives a separate campaign with distinct messaging angles. Outreach is staggered across personas at the same company so that when SuperX comes up internally, multiple stakeholders have already seen the name.
3
AI-driven optimisation from Week 1.
Split testing on subject lines, opening lines, and messaging angles runs continuously. Volume is reallocated toward winning variants automatically. Deliverability is monitored and managed across all sending domains. By month 3, the data shows exactly which personas, industries, and geographies are converting — and the campaign has already adapted.
4
Projections are modelled, not estimated.
0.8% baseline reply rate (conservative for this buyer profile). 18 mailboxes at 30 sends/day. 12,960 unique leads reached over 6 months. ~41 meetings at baseline. With multichannel add-ons active: reply rate moves to 2.0–2.5%, meetings to 120–150 — giving each of your 4 reps 3+ qualified meetings per week.
5
SGD 15K over 6 months. Minimal downside.
At SuperX's deal size, one closed opportunity from this programme represents a return in excess of 3,000× the total engagement cost. The programme is structured to generate pipeline, not just activity — with every reply triaged and handed off same-day.
We've attached the full campaign thinking — persona breakdowns, per-persona messaging tracks, multi-threading strategy, and Week 1 execution plan — as an appendix for your team's review.
On Testimonials
What to Evaluate Instead
A look inside the process behind the proposal — persona strategy, multi-threading logic, Week 1 execution plan, and add-on modelling.
The proposal is the proof.
Most outbound agencies hand you a templated deck and a price. We delivered a fully architected campaign — built on your actual lead data, your ICP, your market, and your deal dynamics — before a contract was signed. Tiered segmentation across 37 industries. Per-tier messaging angles. Deliverability infrastructure spec. An add-on stack with projected impact at each layer.
Process depth is the moat.
At $50M deal sizes, the difference between 0.8% and 2% reply rate is the system behind it: how leads are tiered by propensity, how enrichment builds context, how Tier 1 contacts are researched individually, how AI split-tests and reallocates volume in real time, how replies are triaged same-day. A testimonial tells you someone was happy. The process tells you why it will work.
Risk is near-zero.
The total programme cost is a rounding error against a single deal. At baseline projections — 0.8% reply rate, no add-ons, Scenario B — the campaign generates 41 meetings over 6 months. One conversion pays for the programme 3,000×. The downside is SGD 15K, the upside is the pipeline.
Persona Strategy
Every Buyer Persona Gets Their Own Campaign
SuperX's ICP data shows four distinct buyer personas in the decision chain. Each has a different job function, a different motivation, and a different reason to say yes or no. Sending them all the same email is leaving money on the table.
Same product. Different buyer. Different email.
A CTO evaluating AI servers cares about architecture, performance benchmarks, and deployment speed. A CFO evaluating the same purchase cares about TCO vs. cloud, capex vs. opex, and payback period. An IT Procurement Manager cares about vendor compliance, SLAs, and integration risk. If you send them all the same email, you're speaking to none of them. Each persona gets their own sequence with messaging built around what they actually care about.
The Four Buyer Personas
★
Champion
CEO · CTO · CIO · Chief Data Officer · Head of AI · Director of Technology
What keeps them up at night
Competitive pressure to ship AI capabilities faster. Cloud GPU costs spiralling. Vendor lock-in with hyperscalers. Need to prove AI ROI to the board.
Messaging angle
Lead with innovation, speed, and competitive advantage. This buyer wants to know that SuperX makes them look smart to their board.
Sample subject line
[Their company]'s AI roadmap + a question
Sample opener
Saw that [company] is scaling [specific AI initiative / hiring for AI roles]. Quick question — are you running that on cloud, on-prem, or a mix? Asking because we helped [similar company type] cut their compute costs by 40–60% while tripling deployment speed. Might be worth a 15-min conversation.
⚙
Technical Buyer
IT Procurement Manager · Systems Engineer · AI Solutions Architect · Network Administrator · Cloud Solutions Engineer
What keeps them up at night
Reliability and uptime of AI infrastructure. Integration complexity. Scaling without re-architecting. GPU availability and lead times.
Messaging angle
Lead with specs, architecture, and deployment reality. This buyer needs to trust that SuperX works in their environment.
Sample subject line
GPU availability in [region] — what we're seeing
Sample opener
Working with infrastructure teams across [region], the consistent challenge we're hearing is GPU availability and cloud lead times stretching to 3–6 months. We built SuperX specifically for this — dedicated AI servers that deploy in [X weeks] with guaranteed availability. Happy to share the architecture spec if it's relevant to what you're building.
$
Economic Buyer
CFO · Head of Procurement · VP of Finance · Financial Controller · Head of Strategy · Business Development Director
What keeps them up at night
Total cost of ownership vs. cloud. Capex justification. Budget predictability. ROI timeline. Clawback risk on cloud contracts.
Messaging angle
Lead with TCO, ROI, and financial predictability. This buyer doesn't care about specs — they care about the business case.
Sample subject line
[Their company] + AI compute costs
Sample opener
At the compute volumes [company] is likely running, cloud GPU costs compound fast — we're seeing enterprises in [industry] overspending by $Xm/year vs. owned infrastructure. We built a TCO comparison for a similar organisation that showed 40–60% cost reduction over 3 years. Worth 15 minutes to see if the numbers apply?
▲
Influencer
Data Scientist · AI Engineer · AI Researcher · Data Architect · IT Manager · Software Developer
What keeps them up at night
Tools and infrastructure that let them do better work, faster. Frustrated by cloud limitations, GPU quotas, and environment constraints. Want to advocate for better infra internally.
Messaging angle
Lead with capability and empowerment. This buyer doesn't sign the PO, but they influence the person who does. Give them ammunition to advocate internally.
Sample subject line
Quick resource for [their team / project area]
Sample opener
Sharing this because it might be useful for your team — we put together a benchmark comparing cloud GPU performance vs. dedicated AI server infrastructure for [workload type]. The short version: [key stat]. Happy to send the full report if it's relevant.
Sequence Architecture
How This Maps to Live Campaigns
In the live campaign, each persona runs as a separate sequence with its own messaging track. Here's how they interlock:
★ Champion ⚙ Technical Buyer $ Economic Buyer ▲ Influencer
Email 1 Competitive advantage hook Specs / architecture hook TCO / cost comparison hook Resource / benchmark offer
Email 2 Case study: similar company Deployment speed proof point ROI model / payback period Technical deep-dive content
Email 3 Data sovereignty / regional insight Integration / reliability data Capex vs opex analysis Internal advocacy angle
Email 4 Direct ask: 15-min call Direct ask: architecture review Direct ask: TCO walkthrough Share-with-your-team CTA
Email 5 Breakup + final value drop Breakup + spec sheet offer Breakup + cost model offer Breakup + report offer
This is 4 distinct campaigns × 5 emails × 3 tiers = 60 unique messaging variants before split testing begins.
Multi-Threading
Multi-Threading the Account
At $50M deal sizes, deals are closed by a buying committee. The per-persona campaign structure enables a strategy called multi-threading — reaching multiple stakeholders at the same company through different entry points.
How multi-threading works
The CTO receives a competitive-advantage email. The CFO receives a TCO email. The IT Procurement lead receives a reliability email. None of them know the others got a message — but when SuperX comes up in their next infrastructure meeting, three people in the room have already heard the name. This is how you move from "cold outreach" to "they're already on our shortlist."
We stagger outreach across personas at the same account by 3–5 days to avoid the appearance of a coordinated blast. The Champion is contacted first. Technical and Economic Buyers follow. Influencers receive a lighter-touch, resource-led sequence that gives them content to share upward.
Execution Plan
What Happens in Week 1
If this engagement is confirmed, here's what the first week looks like:
Day Activity
Day 1 Kick-off call. Align on target personas, messaging priorities, and any accounts to prioritise or exclude. Receive access to lead data.
Day 2–3 Lead list audit. Tier assignment. Begin secondary email discovery and list expansion toward 15–20K target. Flag data quality issues.
Day 3–4 Persona mapping finalised. 4 campaign tracks defined with messaging angles per tier. Sample subject lines and openers drafted for review.
Day 4–5 Tier 1 individual research begins. LinkedIn profiles, published content, company news reviewed. Custom first lines drafted for first 50–100 contacts.
Day 5 Domain acquisition and mailbox setup guidance delivered. Warm-up begins (runs 3–4 weeks in parallel with copywriting).
By end of Week 1, you have a complete campaign architecture — personas defined, messaging drafted, Tier 1 research underway, and infrastructure warming up. By Week 4, the first emails go out.
Optional Add-Ons
Multichannel Acceleration
The core engagement is email outbound. The add-ons below layer additional channels on top to increase reply rates and pipeline velocity. Each can be activated independently at any point during the engagement.
Add-On Fee (SGD) What It Does Expected Impact
LinkedIn DM Sequence SGD 600/mo + tool cost Automated profile likes + personalised connection requests + DMs to accepted connections, timed to the email sequence. Reply rate: 0.8% → 1.1–1.2% (+30–40% uplift)
Ads Retargeting SGD 1,500 setup + SGD 800/mo + ad spend Upload lead emails as custom audience. Brand awareness ads so prospects see SuperX 3–5× before and during the email sequence. Reply rate: 1.1% → 1.8–2.0% (moves cold → warm-adjacent)
LinkedIn Thought Leadership SGD 1,500 setup + SGD 1,000/mo + tool & API cost 2–3 posts/week from SuperX founder/CTO. Content calendar aligned to campaign messaging. Tone guide + strategic engagement. Compounds over 6 months (73% of execs say thought leadership drives product exploration)
Intent Signal Monitoring SGD 400/mo + tool cost Track companies actively researching AI servers / GPU procurement. Monitor government tenders (GeBIZ, JETRO, KONEPS). Flag high-intent leads for priority sequencing. Intent leads convert 3–5× higher vs cold-scraped contacts
Reply rate (all add-ons)
2.0–2.5%
vs 0.8% baseline
Replies over 6 months
300–375
vs 104 baseline
Meetings booked total
120–150
vs 41 baseline
Per rep / week (4 reps)
3.1–3.9
vs 1.08 baseline
Summary
In Summary
We don't have a testimonial from a $50M AI server campaign. What we have is:
A campaign architecture built on your data — not a template.
37 industries segmented into 4 tiers. 4 buyer personas, each with their own campaign. 60 unique messaging variants. Volume math modelled to your exact mailbox count. Projected impact at every layer. This was built for SuperX. It can't be copy-pasted for anyone else.
A process that compounds over time.
AI-driven split testing, real-time volume reallocation, deliverability intelligence, same-day reply triage. The campaign gets smarter every week. By month 3, we know which personas respond, which industries convert, and which messaging angles close — and we've already shifted volume accordingly.
Skin in the game at SGD 15K.
This is not a six-figure agency retainer. It's SGD 15,000 over 6 months for a programme that generates pipeline against $50M deal opportunities. The maths doesn't need a testimonial to speak for itself.
RightClick:AI
Prepared by Bolun  ·  March 2026  ·  Confidential
RightClick:AI · SuperX Campaign Proposal Prepared by Bolun · March 2026 · Confidential