Dizenly runs the repetitive half of your sales process - research, qualification, allocation, outreach and follow-up - so a team of the same size covers more pipeline, spends less on every conversation, and gets to revenue sooner.
Nothing is scraped. A person approves every message. Every action is logged.
Overview
Search contacts… ⌘KWelcome back, Petra 👋
1,500 contacts · 1,500 scored - here's what to do today.
LinkedIn Accounts
1Account setup & today's budget
refreshes every 30 sPetra Richter
✓ Connected✓ Knowledge✓ Ready● NetworkReady. Network backfill in the background - profiles 2,996 / 2,996, inbox threads 3,016 / 2,852 · about a day left.
Steady allowance · Premium · working hours 08:00–21:00 (Europe/Berlin) · 0% of the day released to background work Off-hours
Profile views
105 / 150today · 0 / 30 this hour
Search pages
6 / 30today
Company page calls
202 / 300today
All calls this hour
2 / 400this hour
All calls today
845 / 1,500today
Illustrative figures modelled on the 1,500-prospect example batch in the Dizenly product plan, not measured customer results.
Clients
Every one of them sells the same way: a named list, a person to reach, and not enough hours to do it by hand.
AI-first marketing agency
Custom software and data engineering
AI-first software development
Custom software and AI
Ready-built apps, source code includedEvery one of them started with a conversation.Thirty minutes, your own list, and an honest answer about whether this fits.
Start yoursSomebody has to read the list, judge it, split it, chase it and remember it. That work never appears on an invoice, so it never gets costed - but it is salaried hours, slower deals and revenue that quietly leaks out of the process.
≈ 30 hrsa week, four-person team
A 1,500-row export arrives in random order. Reps skim the first hundred names, and the best-fit prospect sitting at row 940 is never seen at all. You are paying salary for sorting.
Scatteredspend, across the wrong accounts
Whether a prospect is “good” depends on who is looking at it. No two reps qualify the same way, none of the reasoning is written down, and budget goes into conversations that were never going to close.
≈ 8 minper message, per prospect
Personalising a message means opening five tabs and reading a profile. So most messages never get personalised - and every point of reply rate you lose is pipeline you paid to generate and then wasted.
Unownedfollow-ups, and the revenue with them
Replies sit in an inbox, tasks sit in a notebook, status sits in memory. Interested prospects go quiet because nobody picked them up in time - the most expensive kind of lost revenue, because you already earned the reply.
Net effectYour team spends most of its week deciding who to contact, and only a sliver of it actually contacting them.
The pipeline is linear and predictable. Seven of the nine steps run without anyone touching them, so the cost of moving a prospect forward stops scaling with the size of the list - a human only steps in where judgement or a real relationship matters.
Upload an Excel or CSV export. Dizenly validates the columns, normalises LinkedIn URLs and email addresses, detects duplicates against every previous import, and keeps the full import history.
Each row becomes a normalised prospect intelligence profile - role, seniority, company, industry, size, location, background, relevance and contact completeness.
The engine compares each prospect to your company profile and Ideal Customer Profile across nine weighted factors, then returns a 0–100% match score with a written explanation.
Prospects at or above your threshold - 70% by default - enter the priority queue sorted highest first. Ties break by import date, so the ordering is always deterministic.
Round-robin, capacity-based or criteria-based allocation. The owner is attached to the prospect for its entire lifecycle, so nothing becomes nobody’s job.
Your daily limit decides the volume - say 25 prospects a day, globally or per owner. Anything that doesn’t fit rolls into tomorrow keeping its rank, never the back of the line.
Day 1 review the profile, Day 2 engage with a post, Day 3 send the connection request. Approved integrations execute it; otherwise it appears as a one-click action in the owner’s daily list.
You act
Once the prospect connects, AI drafts a message from your services, relevant past projects and the prospect’s own role and company. Review, regenerate, edit, approve - then send.
You approve
Every reply is tagged Positive, Neutral or Negative. Positive instantly becomes a sales task for the owner; Negative closes the prospect; Neutral returns to the pool for a later cycle.
Everywhere else the system either advances the prospect itself or queues a single action for its owner.
Every stage below runs on the same record. Nothing is re-entered, re-sorted or re-explained by hand between one step and the next - which is where the time, the cost and most of the lost deals used to go.
The score is not a mood reading from a language model. Nine weighted factors are evaluated with deterministic rules plus AI analysis, and the full breakdown is stored with the prospect - so anyone on the team can see exactly why a prospect ranked where it did.
How the number is built
factor_contribution = factor_weight × (factor_fit% ÷ 100)
prospect_match_score = Σ all factor contributions
Weights total 100 and are editable in Settings - rebalance your targeting without a code change.
Score breakdown
Stored with the prospectQueued for Marta on the next outreach cycle, ahead of every prospect scoring below 89.
Recomputed automatically whenever the ICP, the weights or the prospect's own data change.
Contribution by factor
Why this prospect scored 89%
A senior technology decision-maker at a mid-size retail SaaS business in a target country, with a product-modernisation need that maps to work you have delivered before. Only the incomplete contact record and a partial technology signal held the score below 90.
Dizenly does not add another tool to check. It removes the eight recurring chores that sit between a prospect list and a real conversation - and with them, the hours and the headcount those chores used to require.
Deciding who to contact first
Today, by hand: Skim a 1,500-row export and guess from job titles
With Dizenly: Ranked 0–100% against your ICP, with the reasoning attached
Splitting prospects across the team
Today, by hand: A manager slices the spreadsheet by hand every week
With Dizenly: Round-robin, capacity or criteria-based allocation, instantly
Deciding today's volume
Today, by hand: Whatever each person gets around to
With Dizenly: A configurable daily limit, global and per owner, enforced
Researching each prospect
Today, by hand: Five browser tabs and a scratch note per person
With Dizenly: One Prospect 360° view: profile, score, history, next action
Writing the opening message
Today, by hand: Roughly eight minutes of copy-paste per prospect
With Dizenly: AI drafts it from your services and their profile - you approve
Reading and triaging replies
Today, by hand: Manual inbox triage, inconsistent judgement
With Dizenly: Auto-classified Positive, Neutral or Negative
Remembering to follow up
Today, by hand: Notebooks, reminders and memory
With Dizenly: A sales task created the moment a reply turns positive
Knowing what actually happened
Today, by hand: Nobody is quite sure
With Dizenly: Live dashboard plus a full audit trail on every prospect
30+ hrs
a week returned to selling
Seven of the nine stages run with nobody involved. The hours that went into sorting, researching and drafting go back into conversations, so the same team covers more pipeline without new headcount.
87%
less list to pay for
Only prospects above your threshold ever reach a person. The cost of every conversation falls because nobody is paid to work the rest of the list, and no tool is paid to enrich it.
100%
of decisions explainable
Every score, assignment, message and classification is written to the activity log. When revenue moves you can tell which change caused it, instead of guessing.
Everything below ships in the first release, replacing a stack of point tools and the licences that go with them. Each module is independent, so the platform can be extended - new data sources, new channels, new CRMs - without rebuilding the core.
Teach the platform who you are and who you want, once.
Get prospects in from whatever source you already use.
Turn a pile of records into a ranked, explained shortlist.
Decide who does what, at what pace, in what order.
Say the right thing, then react to the answer correctly.
See what happened, and be able to prove it.
LinkedIn does not permit unauthorised scraping, third-party bots or automated connection requests, and Sales Navigator API access is not currently open to new partners. Dizenly is architected for that reality - and ready for official access the day it becomes available.
One switch, two behaviours - the rest of the platform never changes.
Approved API available
The connector executes the action automatically - no human step, no queue entry.
No approved API
The identical action appears in the owner's daily list and is completed by a person in one click.
Connection requests, engagement and message sending are performed by your own team from their own accounts. No bots, no browser extensions, no shared credentials.
Score computed, owner assigned, message generated, reply classified, task created - every state change is written to the activity log with a timestamp and an actor.
The overall score, the factor breakdown, the AI reasoning and the exact input data are all stored. AI output is monitored and reviewable, never treated as settled fact.
Enrichment providers, prospect sources and outreach channels sit behind interfaces. Swap a provider, add email or WhatsApp, plug in a CRM - the core is untouched.
No LinkedIn password needed. Outreach stops the moment they reply. You answer every reply yourself.
The first release is a complete loop - list in, conversation out. Everything on the right extends that loop rather than replacing it.
Everything needed to run the full loop end to end.
Extensions that reuse the same core, once it is proven in daily use.
Every plan includes the full pipeline - import, enrichment, AI scoring, ranking, sequences, AI messaging, reply classification and tasks. You pay for the people actually running outreach, not for every seat in the company, and one subscription replaces the research and sequencing tools you licence separately today.
For a sales team running one motion or several segments at once.
$299/ month
Book a demoFor organisations with their own rules.
Custompricing
Book a demoStraight answers to what most people want to know before they write to us.
Rather talk it through?
Thirty minutes with someone who knows the product. Bring your list, not a brief.
No. The platform ships with a human-assisted action queue: Dizenly decides who to contact and drafts what to say, and your team performs the LinkedIn action from their own account. If official API access is granted later, the connector replaces those manual steps and nothing else in the platform changes.
Any Excel or CSV export you already have - Sales Navigator lists, event attendees, conference lists, your own research. Uploads are cumulative: a second upload of 500 records adds to the existing 1,000 rather than replacing them.
They are detected on LinkedIn URL, email address, or name plus company, then merged or updated instead of duplicated. Every import keeps its own history so you can always see where a record came from.
Yes. All nine factor weights and the qualification threshold are editable in Settings, and prospects can be rescored against the new model - no development work involved.
No. Deterministic rules handle the structural matching - role, geography, company size - and AI handles the semantic judgement. Both feed one weighted model, and the breakdown plus the exact input data are stored with every prospect.
It is tagged Neutral, which pauses the sequence and returns the prospect to the pool for a later follow-up cycle. The system never sends the next message before a reply has been classified.
Exactly the number you set. The daily limit is configurable globally and per owner. Unused capacity rolls into the next cycle and prospects keep their rank rather than moving to the back of the queue.
The platform itself is built. Setup is your company profile, your Ideal Customer Profile and your outreach owners - a short onboarding, then your first import and first scored queue.
Start here
Tell us how your team sources and qualifies today, and we will show you the scored, ranked, owner-assigned queue that comes out the other side - and what it replaces.
Not ready to talk? Start the 14-day trial on your own list instead.