Write every message by hand
The context is specific, but the team repeats research, data transfer, and editing for every prospect.
A personalization concept for Linked Helper
Personal context.
At the scale
of your team.
Turn LinkedIn profile context and your own data into personal messages. Set the rules and review each draft before sending.
No credit card. No automatic charge.
Product adoption10,000+
businesses worldwide
Capterra ↗4.9
277 reviews
G2 ↗4.5
149 reviews
Trustpilot ↗4.8
461 reviews
10,000+ is a Linked Helper claim. Ratings and review counts were captured from the external profiles on September 8, 2026. This is a dated research snapshot, not a result of this design project.
Scale should not erase context.
Manual personalization preserves quality but consumes time. Mass templates move faster but make messages look the same.
Send one template to everyone
The campaign launches faster, but generic language reduces relevance and gives prospects less reason to engage.
Automate the work. Keep the message personal.
Personalization Suite brings data sources, rules, and review into one repeatable workflow.
Your data and rules.
Personal messages.
Every step is visible: choose the data, define the behavior, and inspect the result before it moves forward.
From scattered data to a personal message
Choose context
LinkedIn profile, CSV, and custom fields.
Set priorities
Data roles and fallback behavior.
Create the message
AI writes; templates assemble by rule.
Check the result
Edit and choose an approval mode.
Choose the level of flexibility.
Use AI for individual drafts or strict template logic when repeatability matters more.
ADAPTIVE MODE
A separate draft for every person.
Describe the goal, language, and tone. Choose which facts AI must use, may use, or should ignore.
- AI Drafts before sending
- Source and freshness settings
- Editable individual results
AI Drafts · 3Ready to review
ContextDraftReview
AK
Anna Kovaleva
3 FACTSSales expansion · EU
MP
Michael Petrov
2 FACTSNew fintech case study
ES
Elena Smirnova
3 FACTSProduct Designer role
PREDICTABLE MODE
A structure you can repeat.
Assemble messages with custom variables, Spintax, and conditions. The output follows your logic and remains editable.
- Custom fields from CSV
- IF–THEN–ELSE fallback
- Spintax phrase variants
Template logicAll fields valid
IF
recent_post exists
TRUEUse the latest post topic
EL
recent_post is missing
FALLBACKSwitch to company_context
SP
Phrase variant
2 VAR.{Would it help|Would it be useful} to compare?
Work with your own data.
A LinkedIn profile is only the start. Add fields from a CRM export or team research and decide what the message may use.
A clear source for every detail.
Give each field a role: required, optional, or excluded. The campaign logic stays visible and predictable.
DATA PRIORITY4 fields
- first_name
- Anna REQUIRED
- company_context
- Expansion into EU REQUIRED
- recent_post
- Building a sales team IF AVAILABLE
- private_note
- Internal scoring DON’T USE
Missing data does not break the message.
Decide what happens before a campaign runs: use another field, replace the phrase, or stop the draft.
IF
recent_post is availableUse the post topic
ELSE
Use company_contextKeep a specific reason for reaching out
STOP
Required first_name is missingHold the draft until the data is checked
FALLBACK RESULT
“Anna, I saw that Northstar is expanding its sales team across Europe…”
company_context was used. No generic filler was needed.
The final decision stays with you.
Review one draft, approve a queue, or enable auto-approval only for campaigns where it fits.
AK
Anna Kovaleva
APPROVEDName, company, and business context checked.
MP
Michael Petrov
REVIEWFallback replaced missing recent activity.
ES
Elena Smirnova
DRAFTThe message is saved for a manual edit.
From setup
to your first campaign.
Each step creates a visible output without forcing the team to rebuild its whole process.
Add prospects
Choose profile data and import your own fields.
Define the rules
Set the goal, tone, priorities, and fallback behavior.
Create drafts
Use AI or a controlled template structure.
Review and continue
Edit the messages and choose an approval mode.
Different teams.
One way of working.
Choose a team to see how its context becomes a reason to reach out.
SALES CONTEXT
Start with a business priority.
Role, market and current company direction become a concrete reason to reach out.
- Role
- Head of Sales
- Signal
- European expansion
Message example“Anna, I saw that Northstar is expanding its sales team across Europe. We help SaaS teams organize LinkedIn outreach. Would it be useful to compare approaches?”
RECRUITING CONTEXT
Connect the role to real experience.
Candidate specialization and role requirements create a personal but controlled draft.
- Experience
- B2B products
- Role
- Product Designer
Message example“Elena, your B2B product experience is relevant to the work our design team is doing. We’re looking for a designer to develop our workspace experience. Open to hearing about the role?”
AGENCY CONTEXT
Keep quality consistent across clients.
The team brings client fields into each campaign while review keeps quality consistent.
- Source
- Client data
- Signal
- New fintech case study
Message example“Michael, I noticed your new fintech case study. We help agencies bring client data into LinkedIn campaigns and review messages before launch. Would you like to see the workflow?”
No hidden logic.
Direct answers about data, drafts, and automation choices.
What happens when data is missing?
You decide beforehand: use a fallback field, replace the phrase, or stop the draft. Mark essential data as Required.
Do I have to use AI?
No. You can use templates, custom variables, Spintax, and IF–THEN–ELSE logic. AI is a separate mode for more adaptive drafts.
Can I review a message before it goes out?
Yes. AI Drafts can be reviewed and edited. Individual and bulk approval are available; auto-approval is an optional setting.
Which data can I use?
LinkedIn profile fields and custom variables, including fields imported from CSV. You can define the role of each source.
Does personalization guarantee replies?
No. Outcomes depend on the audience, offer, data quality, copy, and campaign settings. Personalization Suite helps make the message more specific and the process more controllable.
Reach more prospects without sending the same message.
Build your first controlled personalization workflow in Linked Helper.
Start free14 days · no credit card · no automatic charge