New: Company Data Makes Your LinkedIn Outbound Smarter
Upload past customers, case studies, objections, competitors and do-not-contact lists once. Salescadia uses that company data in every LinkedIn campaign.
Your team already knows who buys from you, which proof points land, what prospects push back on, and who should never get a cold message. Until now, getting that company data into an outbound campaign meant retyping it into every campaign you built. Salescadia's new Company data tab fixes that: upload it once, and every LinkedIn campaign in your workspace uses it for targeting, exclusions and messaging.
You'll find it in the Outbound workspace, next to Knowledge. Pick what kind of material you're adding, then drop in a PDF, CSV or text file, or paste rows straight from Google Sheets or Excel.
Company data is workspace-wide. Admins and sales managers manage it; everyone running campaigns in the workspace benefits from it. Deleting an upload takes its companies out of targeting suggestions and exclusions, and its proof out of new messages, right away. People it added to your do-not-contact list stay there until you remove them.
What you can upload as company data
Each kind of material has one job, and the tab tells you what it changes before you save it:
| Upload | What Salescadia does with it |
|---|---|
| Past customers and closed deals | Suggests industries, company sizes and champion titles in campaign setup. These companies are never contacted. |
| Case studies and proof points | Shareable ones become proof the AI may cite in messages. Others only inform targeting. |
| Sales decks and one-pagers | Shape the company profile, value prop and pain points in campaign setup. |
| Call notes and transcripts | Help campaign setup describe the buyer's problem in their words. |
| ICP notes | Steer the ICP segments suggested in campaign setup. |
| Objections and answers | Pairs become knowledge base answers that AI replies use. |
| Competitors | Never contacted, and named as competitors in campaign setup. |
| Do not contact | Companies are skipped when sourcing. People go on your do-not-contact list. |
Customer lists work as CSV or pasted rows, with columns like company, website, LinkedIn, industry, size and champion title. Objections can be pasted as simple Objection: and Answer: pairs.
Lookalike targeting from your past customers
Once you've uploaded customers, the audience step of the campaign wizard shows a new panel built from your past customers. It lists the champion titles, LinkedIn industries and company-size bands that show up most in your customer list. Click a suggestion to add it as a filter, or add them all at once. Suggestions only ever add filters; they never replace the ones you've already set.
That turns "who should we target?" from a guess into a starting point grounded in who has actually bought from you. Customer data also feeds the ICP segments Salescadia suggests when you build a campaign.
Exclusions that hold, even for leads already in flight
The fastest way to burn a relationship is cold-pitching a current customer. LinkedIn's own advertising guidance makes the same point for paid campaigns: exclude existing customers from prospecting campaigns. Company data applies that rule to your LinkedIn outreach, and makes a slip much harder:
- Customers, competitors and do-not-contact companies are dropped at sourcing, so they don't enter new campaigns.
- LinkedIn automation checks every automated send against them, even for leads that were sourced before you uploaded the list.
- Matching is exact. Salescadia matches on normalized company name, website domain or LinkedIn company ID, never on partial name matches, so "Acme" won't accidentally block "Acme Logistics."
Messages you write yourself still go through. The block is on automated sends, not on you.
Mark a customer or case study as shareable only when that customer has agreed to be named in outreach. Unshareable material still sharpens targeting; it just never shows up by name in a message.
Proof the AI is allowed to use, and nothing it isn't
Shareable case studies and customer names are added to the context Salescadia's AI draws on when it writes campaign messages and message briefs. The rules are strict on purpose:
- Only material you've marked shareable can be cited as proof.
- The AI is instructed to copy numbers from your case studies exactly as written, never computing or rounding its own.
- The AI is told to name a customer only when your sources say it can be named.
Your sales decks, ICP notes and call notes also inform the company profile Salescadia builds during campaign setup, so positioning starts from your own words instead of only what's on your website.
Why this matters
Good outbound runs on context. In HubSpot's roundup of sales statistics, 55% of successful cold callers cite a personalized, research-driven approach as their most effective technique. The reps who book the most meetings know which customers to mention, which titles actually sign, and which accounts to leave alone. Company data puts that knowledge where your campaigns can use it, instead of in a spreadsheet nobody opens.
It's the same principle behind the rest of Salescadia: give the system the information your best people already have, then let it do the repetitive work. In one B2B sales case study, matching leads to the right reps and protecting meetings from no-shows combined to lift revenue about 55% ($150,793 across 2,420 meetings). Read the full breakdown in the MedLeague case study.
Put your company data to work
Start a LinkedIn outbound campaign that targets lookalikes of your best customers and keeps automation away from the ones you already have.
Get startedUpload your customer list, your best case study and your objection notes once. Every campaign after that starts smarter.