Category: Case Studies

An AI/ML developer came to us with a new Upwork profile and no earnings. This Upwork lead generation case study shows how our team bid on the right AI and machine learning projects every day, from the client’s own account, and took the profile from $0 to more than $200,000 earned on Upwork.

The Challenge

Our client is an AI and machine learning developer. The skills were strong, but the Upwork profile was new: no earnings, no reviews and no Job Success Score. That is the hardest place to start on Upwork, because clients filter on track record and every proposal costs Connects.

The client wanted a steady flow of AI/ML projects without spending hours each day searching for jobs and writing cover letters.

Our Strategy

1. Bidding From the Client’s Own Account

We worked inside the client’s own Upwork account, so every proposal, message and contract stayed in their name and under their control. The client bought the Connects, and we spent them carefully on jobs worth winning.

2. Strict Job Selection

Each day our team screened new AI and ML jobs against the client’s skills and rate. We skipped vague briefs, clients with a poor hiring or payment history and underpriced scope, to protect both the Connects and the Job Success Score.

3. A Fresh Proposal for Every Job

Every cover letter was written by a person on our team, in the client’s voice, for that specific job. No templates and no automation tools, which keeps the account safe.

4. Consistent Daily Volume

We kept a steady pace of 10 to 12 proposals a day, with shifts covering US, UK and Canada hours, so the client was early on the jobs that mattered. Replies and interview invites went straight to the client, who took the calls and closed the work. As the profile grew, we also took over bidding for the profiles of the client’s team members.

The Results

Metric	Result
Starting earnings	$0
Earned on Upwork	$200k+
Proposals per day	10 to 12
Proposal writing	By our team, one for each job
Bidding	From the client’s own account
Profiles managed	Client profile plus team members’ profiles

The profile went from zero to more than $200,000 earned on Upwork, and it is still an account our team manages today.

A recent week on the account

Results like this come from steady weekly numbers, not one lucky contract. Here is a recent seven-day snapshot from the Upwork proposals dashboard of one of the profiles we manage in this account.

Four of the five clients who opened a proposal invited the freelancer to an interview, and one of those became a hire inside the same week. When a client reads a proposal our team wrote, it usually turns into a conversation. That is the part of Upwork bidding that depends on people, not templates.

Key Takeaways

A new Upwork profile does not need a long history to start winning. It needs the right jobs, a proposal written for each one and the discipline to keep bidding every day. Selection and consistency did more for this profile than any shortcut.

The same approach works for agencies, consultants and freelancers in any category. See how our Upwork lead generation agency works, or read about our Upwork bidding service.

Common Questions

How much did this Upwork profile earn?

The profile went from $0 to more than $200,000 earned on Upwork while our team ran its bidding.

How many Upwork proposals did you send each day?

10 to 12 proposals a day, each one written for that specific job.

Did you use automation tools to bid?

No. Every proposal was written by a person on our team. Upwork automation tools put accounts at risk, so we don’t use them.

Whose account did the bidding run from?

The client’s own Upwork account. The client bought the Connects and kept full control of the profile, messages and contracts.

Can you do the same for a new Upwork profile?

Yes. We work with new and established profiles. A new profile needs tighter job selection and steady daily volume, which is how this one grew.

We find the projects, write every proposal in your voice and hand replies to you, all from your own Upwork account.

Our Upwork lead generation starts at $400 per month. Volumes and setup are confirmed in each proposal.

Want to see what we would bid on for your profile? Book a free strategy call.

Performance marketing agencies sell results, so their own pipeline has to show them too. This cold email lead generation case study from Australia shows how we contacted 13,000 prospects in three months for an Australian Google and Meta ads agency, earning 398 replies and 20 sales opportunities. The whole campaign ran on the Instantly cold email platform.

The Challenge

Our client is an Australian full-service digital agency built around paid advertising: Google Ads and Meta Ads, plus the work that makes ads convert, including web design, conversion rate optimisation and email marketing. Its clients are ecommerce and DTC brands and service businesses that rely on ads for leads.

Like most agencies, new business came mainly from referrals and word of mouth. The founders wanted a steady flow of sales conversations with business owners who already invest in advertising, without hiring someone to prospect full time.

Our Strategy

1. A Focused Target List

We built the list around businesses that look like the agency’s best clients: ecommerce and DTC brands and lead-driven service businesses. At smaller companies we went straight to founders and owners; at larger ones, to marketing and growth leaders with budget authority. Every contact was verified before entering a sequence.

2. Proof-Led Messaging

Business owners hear “we’ll grow your business” from agencies every week. Our copy led with the agency’s own proof instead: the brands it has scaled, the ad spend it manages each month, and a low-effort next step in the form of a free marketing plan.

3. More New Prospects, Fewer Follow-Ups

Compared with the previous quarter, we moved sending volume away from long follow-up chains and toward fresh prospects. Total emails fell 24.3% while new prospects in sequence rose 24.5%, which kept inbox volume healthy and put more new names in front of the copy that was working.

4. Sending on Instantly

All sequences ran on Instantly. We used it to manage sending across the campaign’s inboxes, schedule follow-ups, and track every reply in one place. The numbers in this case study come straight from the campaign’s Instantly analytics.

5. Reply Handling and Hand-Off

Every reply was read and classified. Positive replies went to the client as opportunities with the full email thread attached, so the agency’s team picked up conversations that were already warm.

The Results

Metric	Result
Platform	Instantly
Campaign Period	3 months
Emails Sent	41,400
Prospects Contacted	13,000
Replies Received	398
Reply Rate	3.06%
Positive Replies	20
Positive Reply Rate (of replies)	5.03%
Sales Opportunities	20
Estimated Pipeline Value	$20K

Compared with the previous 3 months

Hover over a card for detail.

The headline number is efficiency. The campaign sent 24% fewer emails than the previous quarter and produced more than three times the opportunities. Better targeting and sharper copy did the work, not extra volume.

Cold Email Lead Generation in Australia: Key Takeaways

The main lesson from this cold email case study is that selling agency services by cold email is hard, because almost every business owner has been pitched by an agency before. It still works when the message carries the agency’s own proof, speaks to businesses that already spend on ads, and asks for something small.

The same approach works for any agency selling services to businesses. See how our AI-powered cold email service works, read about lead generation for marketing agencies, or compare our pricing.

Staying Compliant with Australia’s Spam Act

Cold email to Australian businesses is governed by the Spam Act 2003. Commercial emails need consent, which can be inferred when a business address is conspicuously published and the message is relevant to the recipient’s role. Every email must also identify the sender and include a working unsubscribe option, with requests honoured within five business days. Targeting by role and keeping messages relevant matter for compliance as well as for reply rates.

For another Australian campaign, see how we generated 20 positive conversations with fire-safety decision-makers across all seven states.

Common Questions

How many opportunities did this cold email campaign generate?

20 sales opportunities in three months, from 13,000 prospects contacted and 398 replies, with an estimated pipeline value of $20K.

What reply rate did the campaign achieve?

3.06% of prospects replied, up 35.5% on the previous quarter. 5.03% of those replies were positive, and every positive reply was passed to the client as an opportunity.

Who did the campaign target?

Founders and owners of ecommerce brands and service businesses that rely on paid ads, plus marketing and growth leaders at larger companies.

Which cold email platform did the campaign use?

Instantly. Sequences, sending and reply tracking all ran on the Instantly platform, and the results shown here come from its campaign analytics.

What does Digital Symantec handle in a cold email campaign?

We build and verify the prospect list, write the copy, set up and manage sending, read and classify every reply, and hand positive replies to your team with full context.

Is cold email legal in Australia?

Yes, when it follows the Spam Act 2003. Messages need express or inferred consent, must identify the sender, and must include a functional unsubscribe that is honoured within five business days. Inferred consent generally covers business addresses that are conspicuously published, where the message relates to the recipient’s role.

Do you run cold email lead generation for Australian businesses?

Yes. We work with agencies and B2B companies in Australia, including clients in Sydney, and run campaigns for Australian businesses as well as Australian companies selling overseas.

How much does cold email lead generation cost?

Our AI-powered cold email service is priced at $1,800 per month (USD). Volumes, setup and tools are confirmed in each proposal. See our pricing page for details.

Selling HL7 integration software means reaching a small, specialised group of buyers: the people who own interfaces and clinical data exchange inside healthcare organisations. This LinkedIn outreach case study shows how we reached 1,253 of them and turned 32 conversations into 17 positive leads for a healthcare IT software company.

The Challenge

Our client builds HL7 integration solutions for healthcare. Their buyers are integration managers, interface analysts and IT leaders responsible for moving clinical data between systems. It is a narrow audience that rarely responds to ads or web forms, but it is active on LinkedIn.

The client wanted direct conversations with these decision-makers and a steady flow of qualified, interested prospects, without their own team spending time on prospecting.

Our Strategy

1. A Focused Target List

We defined the ICP by role and function and built a list of 1,253 healthcare integration leaders. Every prospect worked directly with HL7 interfaces or clinical data exchange, rather than anyone with “IT” in their title.

2. Connect Before Pitching

Connection requests were short and relevant, with no pitch. The goal was to earn the accept first, so every conversation started on equal terms.

3. Buyer-Specific Messaging

New connections received a first message followed by a value-led follow-up: 94 first messages and 82 follow-ups in total. Every message was written around real integration challenges, in the language people who work with HL7 use day to day.

4. Qualification and Hand-Off

Every reply was tracked and qualified. Positive leads were passed to the client with full context, and the client saw the complete funnel in a live tracker throughout the campaign.

The Results

Metric	Result
Prospects Targeted	1,253
New Connections	109
First Messages Sent	94
Follow-Ups Sent	82
Replies Received	32
Reply Rate (of connections)	29.4%
Positive Leads	17
Positive Reply Rate	53.1%

Nearly one in three new connections replied, and more than half of those replies were positive. Roughly 1 in 6 people who accepted a connection request became a positive lead for the client.

Key Takeaways

In a specialised market like healthcare integration, precision beats volume. A small, well-defined list and messages written in the buyer’s own language produced a reply rate and a positive reply rate that generic outreach rarely reaches.

The same approach works for any B2B company selling to a niche technical audience. See how our LinkedIn lead generation service works, or compare our pricing.

Common Questions

How many leads did this LinkedIn outreach campaign generate?

The campaign reached 1,253 healthcare integration leaders, made 109 new connections, started 32 conversations and produced 17 positive leads for the client.

What reply rate did the campaign achieve?

29.4% of new connections replied, and 53.1% of those replies were positive. Roughly 1 in 6 new connections became a positive lead.

Who did the campaign target?

Healthcare integration leaders: integration managers, interface analysts and IT leaders responsible for HL7 interfaces and clinical data exchange.

What does Digital Symantec handle in a LinkedIn lead generation campaign?

We build the prospect list, write the connection requests and follow-ups, manage every conversation and hand positive leads to your team with full context, while reporting the full funnel in a live tracker.

How much does LinkedIn lead generation cost?

Our LinkedIn lead generation starts at $400 per month. Volumes, setup and tools are confirmed in each proposal.

Want to see what a targeted LinkedIn campaign could look like for your industry? Let's talk.

Breaking into fire-safety procurement in Australia means navigating a tightly knit community of senior decision-makers who are sceptical of unsolicited outreach. Through a targeted LinkedIn campaign, we generated 20 genuine positive conversations with fire-safety buyers across all seven Australian states — hitting an 83% reply rate that stands among the highest we’ve recorded for any vertical.

The Challenge

Our client supplied specialist fire-safety equipment and services to commercial and industrial buyers. Their pipeline relied heavily on referrals and trade shows — channels that are slow, expensive, and hard to scale. They needed a way to open conversations with senior decision-makers: facility managers, WHS directors, procurement leads, and operations managers at mid-to-large sites across Australia.

The obstacles were real. Fire safety is a compliance-driven purchase category, which means buyers are often sceptical of cold outreach. They’ve heard every pitch. Generic messages about “your fire safety needs” land in the bin.

Our Strategy

1. Precision Targeting on LinkedIn

We built a prospect list of senior fire-safety decision-makers across all seven Australian states, filtering by job title, company size, and industry sector. We focused on roles with budget authority or strong influence over procurement decisions — not just anyone with “safety” in their title.

2. Compliance-Led Messaging

Rather than leading with product features, every message opened by referencing a specific regulatory requirement or recent compliance update relevant to the prospect’s state or industry. This immediately established relevance and credibility: it signalled that we understood their world before asking for anything.

3. Short, Respectful Sequences

We kept the sequence tight — three touchpoints maximum — with significant spacing between steps. Each follow-up added new information rather than restating the first message. The tone was peer-to-peer, not vendor-to-buyer, which matched the professional culture of the fire-safety community.

4. Conversation Qualification

Replies were triaged in real time. We distinguished genuine interest from polite deflections and focused follow-up energy on the conversations most likely to convert, handing warm leads to the client’s sales team with full conversation context.

The Results

Metric	Result
States Covered	All 7 Australian States
Reply Rate	83%
Positive Conversations	20
Buyer Seniority	Senior fire-safety decision-makers

An 83% reply rate in a compliance-focused B2B vertical is exceptional. The key was treating every message as the start of a peer conversation rather than the opening of a sales funnel. Decision-makers responded because the outreach felt relevant and respectful — not because they were pressured.

Key Takeaways

LinkedIn outreach works in conservative, compliance-driven industries when the messaging demonstrates domain knowledge upfront. Generic “touching base” messages don’t open doors with senior safety professionals. Regulatory hooks, industry-specific language, and a tone that respects the buyer’s expertise do.

The 20 positive conversations generated from this campaign translated into a full pipeline of qualified opportunities for the client’s sales team to work — relationships that referrals and trade shows alone couldn’t have reached in the same timeframe.

Running outreach in Australia by email instead? Read our cold email lead generation case study for an Australian marketing agency.

Want to see what a targeted LinkedIn campaign could look like for your industry? Let’s talk.

A fast-growing SaaS platform matching brands with micro-influencers needed to break into saturated e-commerce, apparel, and FMCG verticals — and fill its sales calendar with qualified demos without inflating CAC. The result: 150 sales-accepted opportunities at an average cost of $54, generating $1.2M in projected pipeline ARR.

The Challenge

Crowded inboxes. Rising CAC. A pipeline that needed to scale without sacrificing lead quality. The client’s ideal customers — DTC fashion brands, marketplace retailers, and consumer packaged goods companies — were being hammered by generic outreach every day. Standing out wasn’t optional; it was survival.

Our Strategy

1. Laser Segmentation

We built three distinct ICP clusters, enriched with brand size, paid social spend signals, and active hiring data. Rather than spray a homogeneous list, each cluster received messaging calibrated to its specific growth stage and pain points — a Series A DTC fashion brand is not the same prospect as a mature CPG marketplace seller.

2. Personalised Hooks at Scale

Across 54,400 emails, every opening line referenced something specific to the prospect — a recent campaign they ran, a TikTok hashtag they were pushing, or a product line they had just launched. Dynamic variables pulled from enriched data meant no two emails read the same, yet the volume stayed entirely automated.

3. Deliverability First

We used tiered sending domains, automated warmers, and seed-list testing to keep inbox placement above 99%. No amount of personalisation matters if the email lands in spam. This infrastructure work is unglamorous but non-negotiable.

4. Human-Like Follow-Ups

A/B-tested 5-touch sequences replaced hard CTAs with soft, value-led questions: “Would this be relevant to your Q4 push?” rather than “Book a demo now.” This approach dramatically reduced unsubscribe rates while keeping the conversation warm through the full sequence.

The Results — 90 Days

Metric	Result	Benchmark
Emails Sent	54,400	—
Open Rate	33.5%	~21% SaaS avg
Reply Rate	1.7%	—
Sales-Accepted Opps	150	—
Avg Cost per Opp	$54	—
Projected Pipeline ARR	$1.2M	—

The open rate came in 57% above the SaaS category benchmark — a direct outcome of deliverability infrastructure combined with subject lines that felt personal rather than promotional. From week 2 onwards, the pipeline ran at a consistent 1,500–2,000 emails per week with no deliverability degradation.

Key Takeaways

Cold email at scale works when three things align: a precisely segmented list, copy that earns attention in the first sentence, and technical infrastructure that keeps you out of spam. Skip any one of these and the numbers collapse. Get all three right, and $54 per sales-accepted opportunity is achievable even in a saturated vertical.

If you’re looking to build a predictable outbound pipeline for your B2B SaaS, get in touch — we’d be happy to walk you through what a campaign like this might look like for your ICP.