Cleaning a bought list
Run 5,000 purchased contacts through scoring and typically two thirds never get messaged. The list cost the same either way, your account standing did not.
Describe your ideal customer in plain English. Quicklead scores every imported contact 0-100 with one line of reasoning, and only good-fit prospects enter the sequence.
For example: "VP Sales or Head of Growth at 50-500 person B2B SaaS companies in the US and UK, ideally ones hiring SDRs."
Bring in prospects from Sales Navigator, people search, post engagers or CSV. Scoring runs automatically on import.
Every contact gets 0-100 plus a one-line explanation. Adjust the ICP description and rescore instantly if it is off.
Choose a floor, 80 is a good starting point. Only leads at or above it enter the campaign; the rest stay in the list for later.
Describe your ideal customer in one plain-English sentence and Quicklead scores every imported lead from 0 to 100, with a line of reasoning for each score. Set a threshold, commonly 80, and only prospects at or above it enter the sequence, so LinkedIn's limited weekly connection slots are never spent on a poor fit.
Run 5,000 purchased contacts through scoring and typically two thirds never get messaged. The list cost the same either way, your account standing did not.
Look at conversion by score band, then raise the floor from 70 to 85. Same effort, materially better pipeline.
Score once, then route 90-plus to your closers and 80 to 89 into a nurture sequence.
Sales Navigator filters are binary and structural: title contains, headcount between, industry equals. They cannot tell you that a "Head of Growth" at a 40-person company owns a budget while the same title at a 4,000-person company owns a dashboard. Titles do not mean the same thing across companies, and a filter has no way to know that.
Scoring reads the whole profile in context and returns a graded judgement with a line of reasoning attached, so when a lead scores 58 you can see why and decide whether you agree.
Start at 80. If your total addressable market is small and every contact matters, raise it, because a wasted slot costs more when you have few of them. If you are running high volume into a broad market, 70 often works.
After two weeks, look at reply and meeting rates by score band. Almost every team we see ends up raising the floor rather than lowering it.
Verified reviews from teams using Quicklead every day.
Quicklead is so much better than Copilot AI and costs much less. The dashboard is very easy to use, and creating flows is a blink of an eye. These guys go the extra mile.
Gianluca P.Founder, Americas Heritage Institute PBC
LinkedIn outreach made super easy! The customer support is excellent. Anytime I had feedback, Parth was there to listen. They actually ship what users ask for.
Domenico CoppolaroSaaS Account Executive
Quicklead is one of the best lead-generation tools I have used for LinkedIn so far. The interface, onboarding, and affordability surpass most other tools. I definitely recommend it to any lead-gen agency like mine.
Cyprian SundayFounder, Realtorbuddies
Saves me hours on LinkedIn outreach. The automated sequences run while I focus on closing. Having everything in one tool instead of juggling three is a game changer.
Ashok ChandrapalFounder, Practivo
Very easy to use and it saves hours on LinkedIn outreach. The automated sequences, Smart Inbox and dashboard make it easy to see exactly how campaigns are going.
Akshay SainiCEO & Founder, Serverwala.com
What I like best is how easy Quicklead makes LinkedIn outreach. Setting up campaigns for connection requests and follow-ups is simple and efficient. The clear dashboard makes it easy to track results.
Jay NayakSEO Lead
Quicklead figures are averages across active AI-personalized campaigns in Q1 2026. Category figures are public industry benchmarks. Your results depend on offer, list quality and account standing.
| Metric | On Quicklead | Typical manual outreach | What drives the gap |
|---|---|---|---|
| Connection acceptance rate | 38% | 20-25% | Warm-up steps before the invite |
| Cold reply rate | 30% | 8-10% | Opener written from the profile, not a template |
| Open Profile InMail reply rate | 23% | n/a | A channel most tools do not detect at all |
| Meetings per seat per month | 10-30 | 4-8 | Only ICP-scored leads enter the sequence |
| Hours saved per rep per week | 10h | 0 | Sequences run in the cloud, 24/7 |
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