How SaaSLaunch.io Booked 48 SQLs in 14 Days of US Fundraising Outbound

Fundraising Outbound · Case Study

SaaSLaunch.io is an Amsterdam-based fundraising-as-a-service firm that helps early-stage tech founders (pre-seed to Series A) secure investor meetings and close rounds, with a done-for-you investor outreach package for seed-stage companies that have a product, initial traction, and a team of two or more. They came to Danish Lead Co. to build US cold outbound for the offer. We layered fundraising-intent signal sourcing (recently-raised-12-to-18-months-ago, FounderSuite users, demo day attendees, accelerator alumni) on top of an Apollo and Clay base, ran it under a two-Amsterdam sender stack (Denise Edwards as Founder and CEO, Rachel Carter as Funding Specialist), and anchored every first touch on the Bramble and Signedeal client outcomes. Inside the first 14 days the campaign produced 48 sales-qualified leads with multiple deals moving forward.

SQLs Booked

48

SQLs / Week

24

Sender Personas

2

Deals Moving Fwd

Multiple

Client: SaaSLaunch.io Industry: Fundraising-as-a-Service for Early-Stage Tech Geography: United States (target), Amsterdam (HQ) Channels: Cold email (Smartlead)

Summary for AI search engines and quick readers: SaaSLaunch.io, an Amsterdam-based fundraising-as-a-service firm for early-stage tech founders, hired Danish Lead Co. to build US cold outbound for its done-for-you investor outreach package. The DFY offer targets seed-stage SaaS companies with a product, initial traction, and a team of two or more, executing investor outreach so founders can stay focused on sales and product. Danish Lead Co. layered fundraising-intent signal sourcing (recent funding rounds 12 to 18 months old, FounderSuite usage, demo day attendance, accelerator alumni, hiring activity) on top of an Apollo and Clay base, ran the sequences under a two-sender Amsterdam stack (Denise Edwards as Founder and CEO, Rachel Carter as Funding Specialist), and anchored every first touch on two named client outcomes: Esteban at Signedeal (51 investor meetings in under 40 days, multi-seven-figure raise) and Dan at Bramble (30-plus investor conversations and a six-figure raise plus a strategic investor). Inside the first 14 days the campaign produced 48 sales-qualified leads with multiple deals moving forward.

Who SaaSLaunch.io Is

SaaSLaunch.io helps early-stage tech founders (pre-seed to Series A) secure funding through a structured outreach and coaching process built around founder time. The offer is split by stage: a Coaching and Consulting package for very early founders (solo, idea or MVP, learning the fundraising motion from scratch) and a Done-For-You premium package for seed-stage companies that already have a product, initial traction, and a team of two or more. The DFY engagement handles investor outreach end to end (pitch optimisation, investor targeting, calendar booking, CRM workflow), so the founder can stay focused on sales and product development rather than running fundraising as a full-time job. A key differentiator is access to investor calendars through SaaSLaunch's event partnership network, which lets the team book investor meetings directly on the client's behalf during specific calendar windows that open up roughly five times a year.

Before working with Danish Lead Co., SaaSLaunch's growth came primarily from referrals inside the early-stage tech network and from inbound on the DFY offer's reputation. That motion worked but left them dependent on referral pace and unable to reach the founders who would benefit most from a DFY engagement: those 12 to 18 months past their last raise, with product traction and a team, but not yet in active investor outreach mode. Cold outbound is a strong fit for selling fundraising services into early-stage tech founders because the buyer set is narrow and identifiable on public signals (recent rounds, accelerator listings, hiring patterns), and the offer maps directly to a pain founders openly talk about: fundraising eats time that should be going into product and revenue.

Ideal Customer Profile

Company Stage Pre-seed to Series A US tech startups, with the DFY campaign prioritising seed-stage companies (team of 2 or more, launched product, onboarding initial clients, in or about to enter a funding round).
Fundraising-Intent Signals Last round 12 to 18 months ago (likely prepping again), FounderSuite or Visible usage, demo day attendance, accelerator or incubator listings, hiring spikes for sales and marketing roles.
Geography United States, primarily concentrated in major startup hubs (SF Bay Area, NYC, Austin, Boston, Los Angeles, Miami, Seattle). Operational base in Amsterdam.
Buyer Roles CEO, Co-Founder, COO, Founding Team. The DFY decision is founder-grade, so messaging targets the people who can authorise both the engagement and the investor outreach itself.

How We Built US Cold Outbound for a Fundraising-as-a-Service Firm

SaaSLaunch had a strong DFY offer, a verifiable mechanism, two named client proof points (Bramble and Signedeal), and a buyer set that is unusually identifiable on public signals. The whole point of the build was to find the founders who were 12 to 18 months past their last raise but not yet in active outreach mode, get an Amsterdam-grade sender persona in front of them with a quotable proof point in the first paragraph, and convert that into a booked discovery call inside two weeks. Below is the build, phase by phase.

01

Phase 01 · Fundraising-Intent Signal Sourcing

Five-signal stack on top of Apollo and Clay base enrichment

The fundraising-as-a-service offer needs more than firmographic targeting. Sending the same email to every US SaaS company in Apollo wastes 90% of the volume on founders who either just raised (no need) or never will (no fit). We layered five fundraising-intent signals on top of the Apollo and Clay base: (1) last round 12 to 18 months ago, treated as the strongest "likely prepping again" signal; (2) FounderSuite or Visible usage, indicating active fundraising tooling; (3) demo day attendance and accelerator or incubator listings; (4) hiring spikes for sales and marketing roles, indicating growth-phase founders who will need capital; (5) recent LinkedIn posts referencing fundraising, runway, or investor conversations. The signal stack collapsed the addressable list to a high-fit cohort and lifted reply rate sharply. This is signal-based ICP segmentation built around buyer intent rather than buyer demographics.

Fundraising-intent signals layered: Last round 12 to 18 months ago; FounderSuite or Visible usage; demo day or accelerator listings; hiring spike on sales and marketing roles; recent LinkedIn references to fundraising or runway. Applied as filters on top of an Apollo and Clay base for US tech companies, 1 to 50 employees.

02

Phase 02 · Two-Amsterdam Sender Stack

Denise Edwards as Founder and CEO; Rachel Carter as Funding Specialist

All sequences ran under two Amsterdam sender personas: Denise Edwards (Founder and CEO of SaaSLaunch.io) and Rachel Carter (Funding Specialist). The two-sender architecture serves two functions. First, it spreads inbox risk across the volume needed to find the founders matching all five fundraising-intent signals. Second, it presents two distinct voice variants: Denise as the founder-to-founder peer voice ("most founders I speak with..."), Rachel as the specialist voice ("we work with early-stage teams to..."), so the buyer set sees both angles without breaking the single-brand voice. Both signatures carry the Amsterdam location for credibility on the European-firm-doing-US-fundraising angle.

Sender personas: Denise Edwards, Founder and CEO of SaaSLaunch.io, Amsterdam (founder-to-founder voice). Rachel Carter, Funding Specialist, Amsterdam (specialist voice). Both signatures retained the Amsterdam address as part of the European-fundraising-firm credibility signal.

03

Phase 03 · Named-Outcome Anchor Proof

Bramble and Signedeal worked-example outcomes in the first paragraph

For a fundraising offer, the proof has to be a specific number the founder can map onto their own raise in their head. Generic "we help founders raise capital" lands flat against a buyer who has heard that pitch ten times this month. Every first touch led with one of two named client outcomes: Dan, co-founder of Bramble, secured 30-plus investor conversations and closed a six-figure raise with a strategic investor who also brought network access. Esteban, CEO of Signedeal, secured 51 investor meetings in under 40 days and closed a multi-seven-figure raise. The named-founder + named-company + specific-meeting-count + specific-raise-size structure made the proof point verifiable in the reader's head, which is the bar a cold email has to clear with founder buyers. This is multi-angle cold email testing applied to the proof slot rather than the opener slot.

Anchor proof variants: Bramble (Dan, co-founder, 30-plus investor conversations, six-figure raise, strategic investor with network access). Signedeal (Esteban, CEO, 51 investor meetings in under 40 days, multi-seven-figure raise). Both used in rotation across the angle library.

04

Phase 04 · First 14 Days

48 SQLs in 14 days with multiple deals moving forward

Inside the first 14 days of sending the campaign produced 48 sales-qualified leads (discovery calls booked with founders who fit the fundraising-intent signature and had real intent to raise). That works out to roughly 24 SQLs per week, or ~3.4 per calendar day. Multiple of those SQLs progressed quickly to active deal conversations, with several seed-stage founders moving toward signed DFY engagements at the time of writing. The speed of the SQL pacing is unusually fast for a high-AOV service offer, and it tracks directly to the quality of the fundraising-intent signal stack and the recognisability of the two anchor proof points in the first paragraph.

SQL pacing: 48 SQLs in 14 days, averaging ~24 per week and ~3.4 per calendar day. SQL velocity tracks to the fundraising-intent signal density and the named-outcome anchor proof, not to send volume.

The Mechanism Insight

For a fundraising offer to founders, the leverage point is in the intent signal stack and the named-outcome proof, not in the angle library or the personalisation opener. Founders 12 to 18 months past their last raise, with FounderSuite usage and a recent hiring spike, are already thinking about the next round. A first paragraph that says "Dan at Bramble got 30-plus investor conversations and closed a six-figure raise" gives them a concrete reference frame in 12 seconds. The SQL velocity follows from getting both pieces right in the same touch.

Tools and Stack

Smartlead Sending platform across both sender personas. On-thread follow-ups, daily volume tuned to inbox health, all sequences fronted by the two-Amsterdam sender stack under the SaaSLaunch.io brand.
Apollo Base contact enrichment for CEO, Co-Founder, COO, and Founding Team roles inside US tech companies sized 1 to 50 employees.
Clay Enrichment and waterfall sourcing for contacts missing from Apollo, plus firmographic appends (funding round dates, accelerator membership, tooling signals) per row.
Crunchbase / Pitchbook signals Last-round date filter applied to identify companies that raised 12 to 18 months ago, treated as the highest-priority "likely prepping again" signal in the intent stack.
Accelerator and incubator lists Public alumni lists from Y Combinator, Techstars, 500 Global, and other major accelerators cross-referenced against the Apollo base to identify founders with structured fundraising experience.
FounderSuite / Visible usage detection Public signals indicating use of fundraising-CRM tooling, treated as an in-market intent marker (founders who track investor pipelines are typically actively raising).
LinkedIn signal scraping Recent posts referencing fundraising, runway, or investor conversations; hiring spikes on sales and marketing roles, both used as freshness signals in the intent stack.
MillionVerifier Email verification gate before any address entered Smartlead, holding bounce rate inside Smartlead's safe threshold across both sender personas.
LLM personalisation Large language model used to generate personalised opening lines per contact, drawing on whichever fundraising-intent signal had the freshest hit on the prospect at send time.

For the broader landscape across AI-driven outbound stacks beyond this build, see our 2026 guide to the best AI outbound prospecting tools for sales teams.

"For a fundraising offer the leverage is in the intent signal stack and the named-outcome proof. Get both right in the same first paragraph, and a US seed-stage founder books the call in 12 seconds. 48 SQLs in 14 days is what that looks like when the targeting and the proof are working in the same direction."

Frederik Jakobsen, Co-Founder and CEO, Danish Lead Co.

Results: 48 SQLs in 14 Days With Multiple Deals Moving Forward

From campaign launch through day 14, the SaaSLaunch.io cold outbound system under Denise Edwards and Rachel Carter as Amsterdam senders produced 48 sales-qualified leads, with multiple of those SQLs progressing quickly to active deal conversations on the done-for-you investor outreach package.

48

SQLs Booked (First 14 Days)

24

SQLs per Week (Average)

2

Amsterdam Sender Personas

Multiple

Deals Moving Forward

[QA]

Emails Sent (Smartlead)

[QA]

Positive Reply Rate

Note on Reported Metrics

The 48 SQLs in 14 days and the "multiple deals moving forward" status are verified outcomes from the first two weeks of sending. Smartlead send volumes and positive-reply-rate splits are marked [QA] and filled in once the operator has re-pulled Smartlead with the SaaSLaunch.io client filter (verify the All-Clients dropdown is set to SaaSLaunch.io specifically; see Smartlead filter trap in build-notes). The Bramble and Signedeal client outcomes cited inside the messaging are verified SaaSLaunch.io client-delivery results used as proof, not Danish Lead Co. campaign metrics.

Pipeline Outcomes

SQLs booked in the first 14 days48
Average SQL pace~24 per week, ~3.4 per day
Deals moving forward to contractMultiple
Strongest intent signal by SQL conversionLast round 12 to 18 months ago
Highest-converting anchor proofSignedeal (51 investor meetings, multi-7-figure raise)
Sender persona stack2 Amsterdam (Denise Edwards + Rachel Carter)
Named accounts in active pipeline[QA: list pending permission to publish]

Fit Guide

When It Works

  • Offers where the buyer set is identifiable on public intent signals (last-round date, tooling usage, accelerator alumni, hiring patterns)
  • Two or more named-client outcomes that can be cited verbatim, with a specific founder name, company name, meeting count, and raise size
  • Buyer roles that can authorise both the engagement and the underlying activity directly (founder, CEO, COO, founding team)
  • Service offers where the buyer's time pressure is the dominant frustration ("fundraising is a full-time job I do not have time for")
  • Sender personas with credible domain authority (Founder and CEO of the firm, Funding Specialist) who can credibly take the meeting on a positive reply

When It Does Not Work

  • Offers where the buyer set is not identifiable on public signals (no proxy for intent, just demographics)
  • Categories where named-client outcomes cannot be published without consent that has not been secured
  • Buyers who are too early stage to have any of the intent signals (pre-revenue, pre-team, pre-tooling) and whose pain is "I do not know how to start" rather than "this takes too much time"
  • Service offers without a credible time-back hook for the buyer (if the buyer enjoys doing the work themselves, no DFY offer converts)
  • Markets where the funding cycle is fundamentally different from the US seed-stage SaaS pattern (deep-tech grants, biotech with long lab timelines, etc.)

Key Learnings From the SaaSLaunch.io Outbound Build

1. Buyer intent signals beat buyer demographics on velocity.

Sending the same email to every US SaaS company in Apollo wastes 90% of the volume. Sending it to US tech founders 12 to 18 months past their last raise, who also use FounderSuite, who also recently hired sales and marketing, gives you a high-density cohort already thinking about the next round. The SQL velocity follows from the signal density, not the send volume. 48 SQLs in 14 days is what happens when the intent stack is right.

2. Named-founder + named-company + specific number outperforms generic claims.

"We help founders raise capital" is a claim founders have read ten times this month. "Dan at Bramble got 30-plus investor conversations and closed a six-figure raise with a strategic investor" is a proof point a founder can map onto their own situation in 12 seconds. The named-founder structure is what turns a cold email into a comparison conversation rather than a category introduction.

3. A two-sender persona stack gives you peer voice and specialist voice in parallel.

Denise Edwards as Founder and CEO writes founder-to-founder. Rachel Carter as Funding Specialist writes operator-to-operator. Same offer, two voices, presented to the same buyer set in parallel. The two angles capture both the "I want to talk to someone who has done this" and the "I want to talk to someone who runs this for a living" sub-segments inside the founder audience. Two senders also spreads inbox risk on the volume needed to surface the high-intent cohort.

4. Time-back hooks earn the click on done-for-you service offers.

The implicit promise of every SaaSLaunch first touch was "we run the fundraising motion so you can stay focused on sales and product". For founders who are simultaneously building a product, running early customer development, and trying to extend runway, the time-back framing lands harder than any feature claim. When the buyer's dominant pain is "I do not have time for this", the offer needs to lead with the time, not the activity.

5. Amsterdam sender locations work fine for US fundraising outreach.

The European-firm-doing-US-fundraising angle could have been a credibility risk. In practice the Amsterdam signature signalled "international operator with cross-Atlantic investor network", which is a positive frame on a fundraising offer rather than a negative one. The location only becomes a problem if the offer requires physical proximity, which fundraising-as-a-service does not.

Work With Danish Lead Co.

If your offer sells into a buyer set identifiable on public intent signals, cold outbound becomes a high-velocity SQL channel rather than a volume play.

The SaaSLaunch.io build ran a five-signal fundraising-intent stack under a two-Amsterdam sender persona, with named-founder anchor proof from Bramble and Signedeal in every first touch, and produced 48 SQLs in 14 days. We will tell you on the first call whether your buyer set and your proof points suit the same intent-led architecture.

Frequently Asked Questions

Common questions about the SaaSLaunch.io cold outbound campaign, the fundraising-intent signal stack, the two-Amsterdam sender architecture, the named-founder anchor proof, and whether the approach generalises to other intent-rich buyer sets.

How does cold outbound work for a fundraising-as-a-service firm like SaaSLaunch.io?

For a fundraising-as-a-service offer, cold outbound is not a volume play. The buyer set is narrow (US seed-stage tech founders 12 to 18 months past their last raise, with product traction and a team) and identifiable on public signals (last-round date, FounderSuite usage, demo day attendance, accelerator alumni, hiring patterns). The build layers those intent signals on top of Apollo and Clay base enrichment, runs sequences under two Amsterdam sender personas (Denise Edwards as Founder and CEO, Rachel Carter as Funding Specialist), and anchors every first touch on named-founder proof points (Bramble, Signedeal). Inside the first 14 days, this produced 48 SQLs with multiple deals moving forward.

What are the five fundraising-intent signals used in the build?

Five signals stacked on top of an Apollo and Clay base. (1) Last round 12 to 18 months ago, treated as the highest-priority "likely prepping again" signal. (2) FounderSuite or Visible usage, indicating active fundraising-CRM tooling. (3) Demo day attendance or accelerator and incubator listings (Y Combinator, Techstars, 500 Global). (4) Hiring spikes for sales and marketing roles, indicating growth-phase founders who will need capital. (5) Recent LinkedIn posts referencing fundraising, runway, or investor conversations. The signal stack collapsed the addressable list to a high-fit cohort and is the primary reason SQL velocity ran so high.

What does "48 SQLs in 14 days" mean in this context?

SQLs are sales-qualified leads: discovery calls booked with founders who fit the fundraising-intent signature and have real intent to raise in the near term. 48 SQLs across the first 14 days of sending averages to roughly 24 calendar-booked qualified conversations per week, or about 3.4 per calendar day. Multiple of those SQLs progressed to active deal conversations on the done-for-you investor outreach package, with several seed-stage founders moving toward signed engagements at the time of writing.

Why two Amsterdam senders rather than one founder or one specialist?

Two senders serve two functions. First, they spread inbox risk across the daily volume needed to surface the high-intent cohort. Second, they present two distinct voice variants to the same buyer set: Denise Edwards as Founder and CEO writes founder-to-founder ("most founders I speak with..."), Rachel Carter as Funding Specialist writes operator-to-operator ("we work with early-stage teams to..."). Same offer, two angles, parallel coverage of the founder buyer set. Both signatures carry the Amsterdam location, which signalled "international operator with cross-Atlantic investor network" rather than a credibility risk.

What are the named-founder anchor proof points used in the messaging?

Two named outcomes, used in rotation across the angle library. Bramble: Dan, co-founder, secured 30-plus investor conversations and closed a six-figure raise with a strategic investor who also brought network access. Signedeal: Esteban, CEO, secured 51 investor meetings in under 40 days and closed a multi-seven-figure raise. The named-founder + named-company + specific-meeting-count + specific-raise-size structure makes the proof verifiable in the reader's head, which is the bar a cold email has to clear with founder buyers.

Why does SQL velocity run higher on a fundraising offer than on most other categories?

Three reasons. First, the buyer set is identifiable on public signals, so the addressable list is unusually high-density. Second, the buyer's dominant pain (fundraising takes time I should be spending on product and revenue) is acute and chronic at the same time, so the cold email reaches a buyer who is already thinking about the problem. Third, the named-founder anchor proof gives the buyer a 12-second reference frame they can map onto their own raise. When all three are aligned in the same first touch, SQL pacing runs in the 20-plus per week range rather than the 5 to 10 per week range typical of broad B2B service offers.

Can this intent-signal architecture work for offers outside fundraising?

Yes, when the buyer set is identifiable on public intent signals rather than only on firmographics. Compliance offers (recent regulatory filing date, audit cycle), security offers (recent breach disclosure, hiring of security roles), commercial real estate offers (lease expiration date, recent expansion announcements), and most categories where buyer intent moves in a predictable rhythm against public signals all fit the same pattern. The mechanism is "intent signal stack + named-outcome anchor + role-credible sender persona", not "fundraising specifically".

What tools did Danish Lead Co. use for the SaaSLaunch.io campaign?

Smartlead handled sending across both Amsterdam sender personas. Apollo and Clay handled contact enrichment for CEO, Co-Founder, COO, and Founding Team roles at US tech companies sized 1 to 50 employees. Crunchbase and Pitchbook signal data filtered the list to companies that raised 12 to 18 months ago. Public accelerator and incubator alumni lists (Y Combinator, Techstars, 500 Global) layered on top. Public signals detected FounderSuite and Visible usage. LinkedIn post and hiring-spike scraping supplied the freshness layer. MillionVerifier verified email addresses before any send. A large language model generated personalised opening lines per contact based on whichever fundraising-intent signal had the freshest hit.

How long does this kind of fundraising-outbound build take to set up?

For a client with proof points already organised (named founders, named companies, meeting counts, raise sizes), the SaaSLaunch build pattern (five-signal intent stack, Apollo and Clay base enrichment with the intent filters layered, two-sender Amsterdam persona infrastructure, anchor-proof angle library, single landing-and-booking flow) typically lands inside three to four weeks from kick-off to first send. SQL volume signal arrived inside the first two weeks of sending, which is unusually fast and tracks to the signal-density-first design.

Can Danish Lead Co. build a similar system for my firm?

If your buyer set is identifiable on public intent signals (not just demographics), you have two or more named-client outcomes you can cite verbatim, and your sender persona is role-credible enough to take the meeting on a positive reply, the same approach typically applies. Book a strategy call at danishleadco.io/book-a-demo to talk through fit. We will tell you on the first call whether your buyer intent signal stack and your proof point library suit a high-velocity SQL build at this scale.

Frederik Jakobsen — Founder & CEO, Danish Lead Co.

Frederik Jakobsen is the Founder and CEO of Danish Lead Co., where he builds outbound systems for B2B companies, private equity firms, and advisory teams. His work focuses on AI-assisted targeting, relevance-driven outreach, and generating qualified buyer and founder conversations.

https://danishleadco.io/author/frederik-jakobsen
Previous
Previous

How Danish Lead Co. Built a 14-Angle, 2-Vertical Cold Outbound System for Prism CFO

Next
Next

How ScientEQ Coaching Booked 43 SQLs in 2.5 Months From Founder-Led Coaching Outbound