Prospecting, four outreach channels, signal monitoring across email, LinkedIn, print, and your own website, automations that act the moment someone moves, and reporting that names the fix. Everything up to the conversation. Here is the whole inventory.
Until now, no prospecting system actually understood your buyers, or how to talk to them. SignalSpade gives each prospect something of real value before anyone asks for money, and builds trust from there. It connects with them on LinkedIn, follows up with direct messages, and keeps them warm in a personalised email drip. Then it tells you when to call them, and when to send a letter. Every step runs on intelligence about your company and theirs.
It knows your competitors and who engages with their posts, builds lists of the right contacts at those companies, and can add them straight into the SignalSpade prospecting machine. It builds lead magnets made for the exact company you are trying to win. It shows you which messages are resonating most, and how to make them better. Its capabilities grow by the day, and your competitors will not be able to match them.
The outbound team you would actually hire costs $44,520 a month and genuinely works about 1,050 prospects. See the costing →
Prospects arrive four ways: you describe a territory out loud, you upload a list you already have, a company gives off a buying signal, or a competitor's own audience gives them away. However they arrive, they get the same verification, tagging, and scoring.
Say who you want and where, and add “and drip them”. The list is sourced, enrolled, and given a sequence per prospect as a background job, so a spoken sentence becomes a running campaign.
Apollo does the heavy lifting, a Hunter email finder backs it up, and a cold mode fills the gaps. Fewer dead ends, more people you can actually reach.
Every address gets a syntax and live mail-server check before the first send. A bad address turns red, and a domain that cannot receive mail turns the whole domain red.
Run a bulk check across thousands of existing contacts to flag dead domains, role addresses, and shared inboxes. Hard bounces suppress themselves automatically.
Each prospect is tagged by business model and industry the moment it lands, so filters and messaging can treat a buyer and a consumer differently.
Individual contacts bundle into accounts with their own engagement view, so you read momentum across a whole buying group instead of one inbox.
Drop in a CSV and it inherits the same verification, scoring, and automations as everything else. No second-class data.
Anonymous visitors are identified by their network and filtered clear of hosting and ISP noise, then you can pull the decision-makers at that company straight from Apollo.
Watch a rival's LinkedIn posts and collect everyone who reacts or comments. The useful fact is not that the person is interested, it is that their company is in market. A coordinator cannot sign a contract, but the VP two desks over can, and nobody would have known that account was shopping without the coordinator's click.
Picking a rival by name is how these campaigns go wrong: search the category and you get firms whose followers are other agencies. Each candidate is tested on who actually engages instead. Pull recent posts, page the reactions, and count the owners and operators at real businesses. Vertical competitors score well, generic ones score near zero.
An engagement is walked all the way to people you can sell to: the employer is read out of the profile, the company is resolved and screened against your ICP, and the decision-makers at the companies that fit are pulled in and queued for a connection request.
Watch your competitors on LinkedIn. Everyone who likes or comments gives away that their company is shopping, so Radar works out where they are, keeps the companies that fit, and finds the decision-makers there.
10 sources scanned · 4 posts read · 40 profile lookups · 1,006 companies (292 fit) · 7 contacts
Email, LinkedIn, physical mail, and a report built for that one prospect. All personalised, all scheduled to their own clock, all on a deliverability foundation that keeps you out of spam.
The AI writes a multi-touch sequence shaped by the prospect's company, industry, role, and size, not one blast reworded five times.
A persona is built from the prospect's own posts, so the writing lands on what that person actually talks about, without ever quoting it back at them.
Each prospect receives in their own timezone, and queued messages drop into the posting slots you set.
Each request carries a note written for that person from their own profile, in your voice, not a template with the name swapped in. They go out at a human pace: business hours only, a small jittered batch per run, a daily cap, and a warmup ramp that starts at five a day. Review each one first, or let them send on their own.*LinkedIn Premium recommended. Twenty invites a day across a working week already sits at the ceiling LinkedIn puts on a free account, and Premium or Sales Navigator also opens the search depth Radar works from. It is your own subscription, not part of the plan.
A DM to someone who has not accepted yet waits in the queue until they do. When they accept, the first message is written for that person from their profile and what you already sent them, then held for your approval or sent on its own.
A short, warm letter grounded in the emails you already sent and what their LinkedIn says they care about, printed on your letterhead with a QR code you can track.
It shows one company whether the buyers searching right now, in Google and in the AI tools like ChatGPT and Perplexity, find them or find their competitor. Three angles depending on the prospect: an AI-search visibility audit, a website and ads teardown, or a market-exposure report. Branded to the colours of their own website, every figure drawn from fixed industry benchmark bands rather than invented, then tracked view by view.
When a report names a rival the prospect is losing to, it is one in their own market and segment, never a residential name put in front of a commercial buyer. The comparison still holds up when they read it.
Guided setup for DKIM, SPF, and DMARC on separate sending domains, warmed before they carry volume, so your primary domain never carries cold traffic.
A physical address and one-click unsubscribe ride on every message, and suppression is enforced automatically before anything goes out.
Select prospects and generate. A competitive snapshot showing whether search and the AI assistants name them or a rival, a website and ad-landing-page teardown measured from their own homepage, or a market-exposure report. Each one is a page built for that single company.
You configure and approve a template once, and that stands in for approving every page it goes on to produce. The work of reviewing scales with your judgement, not with your volume.
Pages that clear the automatic quality check go live on their own. The ones held back land in a review queue instead of going out weak.
Every figure is computed from a benchmark band fixed per industry against a stated basis, never written by the model. A fact-check pass then reads the finished page for specific claims and blocks approval on anything it cannot support.
Connect activity across email, LinkedIn, reports and your website, so your team knows who is ready for a conversation.
See the full story, in the right context.
Not every signal counts the same. Weigh what matters most to your business.
Adjust every weight to fit your business.
Scores fade over time, keeping your hottest prospects current.
Unreliable activity never inflates your score.
Scanners and Apple Mail fire tracking pixels on their own, so an open is logged and never scored.
Connect known contacts to the pages they revisit.
See who viewed a report, what they read and how often.
Credit the person and channel behind the last touch.
One score per prospect, decayed daily so last month never outranks yesterday. Every weight is yours to change. These are the defaults.
| Signal | Weight | Why it is worth that | |
|---|---|---|---|
| Replied to your email | 30 | The only signal that proves a human read it and cared. One reply turns a prospect hot on its own. | |
| Replied on LinkedIn | 25 | Same intent, second channel. A DM reply is a conversation you can close in. | |
| Submitted a form on your site | 25 | They raised their hand on your ground, in their own time. | |
| Opened their report | 20 | You built it for them and they read it. Opened three times means it is being circulated. | |
| Accepted your connection | 15 | A real relationship signal, and the gate the follow-up DM was waiting on. | |
| Commented on your post | 15 | Public, deliberate, and visible to their network. | |
| Viewed a high-value page | 15 | One of the high-value pages you nominate, pricing and demo and contact by default. The pages people read when they are working out whether they can buy. | |
| Clicked a link | 8 | Genuine interest, but one click is not a conversation. | |
| Opened the email | 0 | Deliberately worth nothing. Scanners and Apple Mail fire the pixel on their own, so an open is logged and can still trigger a follow-up, but it never makes anyone hot. |
| Prospect | Company | Industry | Stage | Temp | Score |
|---|---|---|---|---|---|
Lena AlvarezVP Operations | Northfield Logistics | Logistics | Contacted | Hot | 189.5 |
Marcus BellOwner | Beacon Mechanical | HVAC | Target | Hot | 176.1 |
Priya RamanDirector of Ops | Calder Manufacturing | Manufacturing | Contacted | Hot | 168.7 |
Dan WhitfieldPresident | Tidewater Freight | Logistics | Engaged | Hot | 144.2 |
Sara KimCOO | Ridgeline Components | Manufacturing | Contacted | Hot | 131.9 |
Owen PrattGM | Harbor Point Services | Facilities | Target | Hot | 118.4 |
Attach an automation to any step of any sequence. When the prospect does something meaningful, SignalSpade responds in the same moment, day or night, and only once.
The send itself, an open, a third open in the same thread, a link click, or a stretch of no reply. The trigger is the signal you care about.
Write it in place or pull a saved template. It sends personalised and automatically, no matter what hour the signal lands, and never twice.
A trigger can queue the connection request or the direct message, so your LinkedIn touches follow real interest instead of a list order.
Any signal can drop a prioritised task on the owner's dashboard with the person and the reason attached. A link click raises it to high priority.
Tasks carry a type, so the work that needs a phone, a letter, or a calendar invite is queued as that, not as a vague reminder.
When someone answers, their sequence stops so nobody gets an automated nudge in the middle of a live conversation.
The reporting does not stop at charts. It reads your results, finds what is holding back replies, and hands you the fix already written.
Sent, delivered, bounced, unsubscribed, opened, and clicked in one place, sliced by the window and the sequence you want to study.
Engagement is broken out by hour of the day in your own timezone, so calls and sends land when that market is paying attention.
The AI reads your numbers, explains what is blocking replies, and lists prioritised fixes. Press one and it produces the finished email or rewrite, ready to send.
See which subjects actually get opened, ranked by open rate, so the next campaign starts from what already works.
Every call to action is labelled and grouped by clicks, separating your own sends from third-party noise, so you know which offer pulls.
Cold-reach performance is scored component by component against industry ranges, so good and bad are never a guess.
Every manual touch is attributed by name, and the person whose touch preceded a first response gets the credit for it.
What performs feeds back into what the AI writes and recommends next, so the system gets sharper the longer you run it.
The connective tissue that makes five stages feel like one product rather than a stack of tools bolted together.
Add users, grant access per account, and let everyone work the same prospects without doubling up a touch.
Separate sending identities, signatures, and settings per user, so a single workspace can carry distinct brands cleanly.
LinkedIn through your own connected account, a tracking snippet for your website, sending and enrichment providers, and webhooks, all connected once.
When an address changes or hard-bounces, the queued sends to it cancel or re-point to the new address on their own, so a sequence never keeps hammering a dead inbox or someone who has moved on.
The prospects, the sending domains, and the engagement history belong to you, exported whenever you want them.
The list is built and verified, sequences are written per prospect, and every signal starts landing on one record.
Which subject lines earn opens here, which offers pull clicks, which hour your buyers answer, and what a real signal looks like in your category.
Results feed back into what gets written next, so each campaign starts from the evidence of the last one instead of from a blank page.
It creates and warms the pipeline. Your people close it.
The same system either way. The only difference is who drives it.
Your team runs the system: building the lists, approving what goes out, and deciding who to chase. SignalSpade does the research, the writing, the scoring and the timing. Service hours each month cover strategy, copy and reply triage.
We run the whole system on your behalf: the lists, the sequences, LinkedIn, the follow-ups and the replies. You get hot leads handed to you, ready to call or book a meeting with.
| Line | Count | $ each | $ / month |
|---|---|---|---|
| People, loaded | |||
| Sales development reps$80k OTE each. Sourcing, research, writing, sending, and first follow-up. | 3 | $8,300 | $24,900 |
| SDR managerHalf a manager. Coaching, call reviews, and holding the cadence to standard. | 0.5 | $14,200 | $7,100 |
| Marketing opsList hygiene, deliverability, domain and inbox health, reporting. | 0.5 | $9,600 | $4,800 |
| CopywriterContract. Sequence frameworks, rewrites, and the assets worth building. | 0.4 | $8,800 | $3,520 |
| People subtotal | 4.4 | $40,320 | |
| The stack that team needs | |||
| Data and enrichmentZoomInfo or Apollo, plus email verification | $1,500 | ||
| Sequencing platformOutreach or Salesloft, per seat | $1,350 | ||
| LinkedIn Sales Navigatorone seat per rep | $300 | ||
| Deliverability and domainsdomains, warmup, inbox placement monitoring | $450 | ||
| Research and design toolingfor anything you want to put in front of a prospect | $600 | ||
| Stack subtotal | $4,200 | ||
| What the outbound motion costs you, every month | 4.4 | $44,520 | |
Loaded cost is OTE × 1.25, for payroll tax, benefits, equipment and space. The 1,050 prospects that team works is three reps at 350 a month each, about 17 a day of genuinely researched outreach. Left out of the team column, and all of it real: recruiting fees, the three months a rep takes to ramp, and replacing one who leaves inside the median tenure.
See it run against a territory you actually care about.
