Kiin Intelligence · built for AI agents

Turn your AI agent into a LinkedIn Ads expert.

Connect Kiin to Claude, ChatGPT, Grok or Dot. Give your agent access to your ad account, benchmarks from 1,100+ advertisers and data-backed optimisation playbooks, so it can plan, launch, manage and improve your LinkedIn Ads.

Connect your agentExplore what your agent can do

Built by ex-LinkedIn experts. Powered by $65M in analysed ad spend.

Works with ClaudeChatGPTGrokDot Claude, ChatGPT, Grok, Dot and other MCP agents
ADSYour LinkedIn AdsKIINTHE PANEL$65M LINKEDIN AD SPEND1,161 ADVERTISER ACCOUNTS1.95B IMPRESSIONSYOUR AD ACCOUNT01your 11 campaignsPROPRIETARY INTELLIGENCE023,945 campaigns benchmarkedEXPERT PLAYBOOKS03fatigue playbookClaudeGrokChatGPTDot+Your agent
Claudehow do I fix ad fatigue?
BurntQ4 Demo is burnt. Change the offer, don't raise bids.

Illustrative questions and answers, not a real account.

The Kiin panel your agent learns from · last 12 months
$65MLinkedIn ad spend
1,161Advertiser accounts
28,718Campaigns
1.95BImpressions

Kiin panel, campaigns with spend between 16 Oct 2025 and 16 Oct 2026. Spend in USD, excluding Audience Network. Also 229M video views and 50M engagements.

What your agent can do

Your LinkedIn Ads.Run by your AI agent.

From campaign launches to bidding, creative testing and weekly reporting, Kiin gives your agent the knowledge and tools to do the work. Start with one task, or build an agent that manages your account day after day.

Bidding optimisation agentEvery morningTemplate: Bidding optimisation

Stop overpaying for LinkedIn Ads.

Your agent reviews bidding strategies, campaign costs and delivery every morning. It compares your results with Kiin's bidding research and recommends or applies changes based on the campaign objective, format and audience.

Monitors
Delivery, CPMs, the price you pay and budget fill
Recommends
Bid strategy and bid level per campaign
Executes
Bid changes, once you approve them

Backed by Manual bidding vs maximum delivery

Tell your agent

"Review my bids every morning. Identify campaigns that could benefit from a different bidding strategy, and prepare the recommended changes."

What it does
  1. Checks campaign delivery
  2. Evaluates bidding benchmarks
  3. Identifies opportunities
  4. Prepares bid changes
  5. Applies approved changes
  6. Monitors results
Other jobs you can give it
  • Retargeting audience monitoring and refills
  • Conversation ad optimisation
  • Thought leader ad promotion
  • Demo campaign optimisation
  • Audience saturation checks
  • Account health checks
  • Lead quality, with your CRM connected
  • Pipeline influence, with your CRM connected
  • Alerts on unusual spend or performance
Kiin agent templates

Your first AI agent,ready in minutes.

Start with a ready-made Kiin agent template. Choose what you want to automate, connect your LinkedIn Ads account and customise how your agent works: its schedule, thresholds and what needs your approval.

Bidding optimisationEvery morning

Decides Which campaigns need a different bid strategy or level

Controls Every bid change waits for approval; no raises on fatigued campaigns

See the use case →
Creative fatigue monitoringDaily

Decides Which ads are tired and what to replace them with

Controls Pauses and swaps follow your approval rules

See the use case →
A/B testingWhile a test runs

Decides When a test has enough evidence, and the next step

Controls Success metric and threshold set before launch

See the use case →
Weekly performance reportingEvery Monday

Decides The three actions that matter most this week

Controls Report only, unless you approve the changes

See the use case →
Budget allocationEvery Monday

Decides Where to increase or decrease spend

Controls Budget changes wait for approval

See the use case →
Account auditingMonthly

Decides The 10 biggest opportunities, by impact and effort

Controls Changes prepared for approval, never applied alone

See the use case →
Client reportingEvery Friday

Decides What changed per client and next week's priorities

Controls You choose who receives each report

See the use case →
Always on

Your LinkedIn Ads don't stop when you log off.Neither does your agent.

Set up AI agents that check your campaigns, spot problems, run experiments and prepare improvements automatically. From daily bidding reviews to weekly reporting, give your agent the jobs you'd normally handle in Campaign Manager.

  1. Every morning

    Checks campaign delivery, unusual spend and bidding efficiency.

  2. Throughout the week

    Monitors creative fatigue, experiment results and conversion costs.

  3. Every Friday

    Prepares campaign changes and performance reports.

  4. Every month

    Audits account structure, audience performance and budget allocation.

You hold the keys.Checks and reports run on their own. Changes to your account are shown as a preview and only applied when you approve them. You decide what each agent can do.
The intelligence behind every decision

Not just another LinkedIn Ads connector.Real intelligence behind every decision.

Kiin combines your live advertising data with original research across thousands of campaigns and expert playbooks developed by our team. Your agent gets more than numbers. It gets the context, benchmarks and specialist knowledge to understand what to do next.

Your account data+Kiin's proprietary research+Expert playbooks=An AI agent that knows how to run LinkedIn Ads
LAYER 1

Your ad account

Your agent can access your campaign structure, targeting, creative, budgets, delivery and performance. It understands what's happening in your account.

  • Real traffic, not every click
  • Demo leads and content leads priced separately
  • Every currency in one view
LAYER 2

Proprietary intelligence

Your agent can query Kiin's advertising research and performance dataset: compare campaigns with the market, investigate formats, explore peer groups and see what performance looks like for advertisers like you.

  • Queried live, not a fixed table of averages
  • Any cohort the data supports: format, industry, objective, audience, similar advertisers
  • A sample size on every answer
LAYER 3

Expert playbooks

Our data-science findings and hands-on experience, turned into operating instructions: how to read results, which actions to consider, when to act and what risks to avoid.

  • Strategy
  • Targeting
  • Objectives
  • Bidding
  • Creative fatigue
  • Testing
  • Thought leader ads
  • Conversation ads
  • Lead gen forms
  • Video
  • Budget scaling
  • Wasted spend
  • Demos
  • Pipeline
More than access.Your agent knows your account. Kiin teaches it what good looks like, why it works and what to do next.
Kiin Labs · research that powers the agent

We don't guess what works.We study it.

Kiin Labs analyses real LinkedIn advertising performance across more than 1,100 advertisers. We use statistical research, within-advertiser comparisons and deep analysis to find what drives results. Then we turn those findings into the intelligence and playbooks your AI agent uses to make better decisions.

We don't just connect AI to LinkedIn Ads data. We give it the specialist knowledge created from analysing that data.

  1. 01

    We analyse campaign data across 28,718 campaigns and 1.95B impressions from 1,161 advertisers.

  2. 02

    We investigate performance across formats, objectives, audiences, bidding and other variables.

  3. 03

    Where we can, we compare approaches within the same advertiser, not just unrelated companies.

  4. 04

    We report sample sizes, uncertainty and the limits of each finding.

  5. 05

    Our specialists interpret the findings and turn them into operating playbooks.

  6. 06

    Kiin makes that knowledge available to your AI agent.

Bid strategy paired within account: inbox manual CPM vs max delivery -50% cost per demo lead, feed enhanced conversion vs max delivery -38%
Source: Demo request benchmarks, Kiin Labs
FINDING A · BIDDING
What we discovered
In the inbox, manual CPM bidding was associated with 50% lower cost per demo lead than maximum delivery (95% interval −82% to −6%), cheaper in 14 of 17 advertisers running both, paired within account.
What it means
Automated bidding defaults aren't always the most efficient choice. The right strategy depends on format, objective and campaign conditions.
What your agent can do
Review bidding configurations, compare campaign performance and suggest evidence-based changes for you to approve.
Demo cost per lead index by cumulative frequency band: 100 at launch rising to 222 at 4x and above for feed demo campaigns
Source: Demo request benchmarks, Kiin Labs
FINDING B · CREATIVE FATIGUE
What we discovered
As a feed demo campaign burns through its audience, cost per demo lead rises: by the time the audience has seen it four times over, it is about 2.2× the campaign's own starting cost (index 222, interval 151 to 323; 17 to 40 campaigns per band).
What it means
Refresh timing should follow audience exposure, format and actual performance, not an arbitrary calendar schedule.
What your agent can do
Monitor campaigns, spot fatigue signals and recommend when and how to refresh.
Targeting under 30,000 people vs 30,000+, same advertiser: CPM +32.1%, landing page click-through +0.8% not significant, cost per landing page click +32.2%
Source: Audience targeting benchmarks, Kiin Labs
FINDING C · AUDIENCE TARGETING
What we discovered
Narrow audiences (under 30,000 people) showed a 32% higher CPM than broader ones within the same advertiser, and 32% higher cost per landing page click, with no better click-through (+0.8%, not significant; 245 advertisers).
What it means
More precise targeting isn't automatically more efficient.
What your agent can do
Evaluate your audience structure and find opportunities to test broader or alternative targeting.
Inbox vs feed for a demo ask, paired within account: cost per demo lead -57%, form open rate -12% not significant, cost per thousand +417%
Source: Demo request benchmarks, Kiin Labs
FINDING D · DEMO GENERATION
What we discovered
Inbox demo requests cost 57% less per lead than feed demo requests in the same account (interval −69% to −29%), cheaper in 20 of 23 accounts running both, even though the inbox costs about five times more per thousand.
What it means
The right format and delivery approach can change the economics of demand capture substantially.
What your agent can do
Evaluate your demo strategy and recommend formats, targeting and budget allocation.
From the panel · CTR by campaign age

Median CTR index by week of campaign life, Kiin panel.

From the panel · landing page CTR by advertiser

Landing page CTR at each advertiser percentile, Kiin panel.

These findings come from specific research populations and are mostly observational. They show what was associated with better results across advertisers, not a guaranteed outcome for every account.

Explore Kiin Labs research
Same AI agent · very different decisions

Same AI agent.Very different decisions.

Giving an AI agent access to campaign data is only the beginning. Kiin gives it the specialised knowledge to understand that data and take the right next step.

Creative fatigue · without Kiin
"Why is my CTR dropping?"

"Your CTR has declined. Consider refreshing your creative, expanding your audience or adjusting your bids."

Generic advice that doesn't necessarily address the cause
Creative fatigue · with Kiin
"Why is my CTR dropping?"

"Three campaigns show fatigue signals.

  1. BurntYour demo campaign has reached high cumulative frequency and its lead costs are rising.
  2. FatiguedYour thought leader ad is losing landing page engagement.
  3. WatchYour retargeting pool is approaching saturation.

Kiin's research says raising bids won't fix this. I'd refresh the demo offer, add new thought leadership posts and refill the retargeting pool. Shall I prepare the changes for approval?"

Account-specific diagnosis, research, priorities, ready-to-approve changes
Bidding · without Kiin
"Are my conversation ad bids right?"

"Your cost per lead looks high. You could try switching to maximum delivery so LinkedIn can optimise your bids automatically."

Hands the price to the auction
Bidding · with Kiin
"Are my conversation ad bids right?"

"Two of your conversation ad campaigns are on maximum delivery. In Kiin's paired research, manual CPM in the inbox was linked to about 50% lower cost per demo lead (cheaper in 14 of 17 advertisers). I'd switch both to manual CPM at the low end of the range and review in two weeks. Shall I prepare it for approval?"

Cites the evidence, sets a review point, waits for approval

Illustrative agent responses, not real customer results.

From advice to action

Your agent doesn't just tell you what to do.It can do the work.

Use Kiin to plan campaigns, create audiences, launch ads, adjust budgets and automate recurring optimisations through your AI agent. The same intelligence that recommends an action can help carry it out.

01

Ask

Tell your agent what you want to achieve.

02

Analyse

It investigates your account using Kiin's benchmarks, research and playbooks.

03

Act

It prepares or performs the campaign-management tasks, within the permissions you give it.

04

Automate

Repeatable jobs become scheduled checks, reports and optimisation routines.

What your agent can change today
  • Create campaign groups, campaigns, ads and saved audiences
  • Adjust bids and budgets
  • Pause and reactivate campaigns
  • Prepare new targeting configurations
  • Run recurring account audits and monitoring alerts
  • Generate reports and send them to Slack
You stay in control
  • Every change is shown as a preview first and only applied when you approve it
  • Start with recommendations only, then hand over more as you trust it
  • Built-in guardrails: no Audience Network or Audience Expansion, no bid raises on fatigued campaigns
From the founder
Phil Ilic with Josh Hall at LinkedIn HQ
At LinkedIn HQ with Josh Hall

I plugged Claude into LinkedIn Ads.It was horrible.

It read every click as traffic, priced every lead the same and suggested raising bids on ads that were already burnt out. The agent wasn't the problem. It had just never run a LinkedIn ad account.

I have, for 8 years and 150+ B2B clients. So we built the layer that sits in between: it reads your data properly, compares it with advertisers like you, and hands your agent the playbooks we use ourselves.

More and more LinkedIn Ads work is going to run through agents. Kiin is how yours does it well.

Phil Ilic
Phil IlicCo-founder & CEO, Kiin · LinkedIn Agency Partner
8 yrs running LinkedIn Ads150+ B2B clients run personally$65M panel behind Kiin
Follow Phil on LinkedIn
Built by experts · trained on real advertising evidence

Built by LinkedIn Ads experts.Backed by original research.

Not generic best-practice prompts

Kiin's intelligence comes from three things together: practitioners who run LinkedIn Ads every day, including former LinkedIn Marketing Solutions employees; original data science from Kiin Labs; and one of the largest independent LinkedIn Ads research datasets.

We analyse the data, test what we believe, investigate what improves performance and turn those discoveries into practical playbooks for AI agents.

The ex-LinkedIn team
Omar Aboushady Ex-LinkedIn Omar AboushadyCo-founder & Head of Operations

Four years inside LinkedIn Marketing Solutions. Spotify before that.

LinkedIn →
Yasmin El-Deeb Ex-LinkedIn Yasmin El-DeebHead of Media & Strategy

Came from LinkedIn. Owns media planning and channel strategy.

LinkedIn →
Joanna Saunders Ex-LinkedIn Joanna SaundersHead of Demand Gen

Came from LinkedIn. Runs demand gen for clients.

LinkedIn →

Three of the team worked at LinkedIn. Behind them: Kiin Labs, our research arm, and 1,161 connected advertiser accounts over the last 12 months.

We change our minds.Our research doesn't always confirm what we thought we knew. It reversed our old "bid high" advice on conversation ads, and it corrected an early version of our own demo report. We follow the evidence. When the research changes, we update the playbooks, so your agent's advice changes with it.
Works with the agent you already use

Keep your agent.Add LinkedIn Ads expertise.

Kiin connects to the AI agent you already use and gives it your advertising data, proprietary benchmarks, research and execution tools. No new chatbot, dashboard or platform to learn.

Claude
Claude
ChatGPT
ChatGPT
Grok
Grok
Dot
Dot
+
Other MCP agents
Live

Kiin + Slack

Weekly campaign reviews and alerts, posted where your team works.

Live

Kiin + CRM

HubSpot, Salesforce, Pipedrive or Attio for pipeline insights and account-level reporting.

Via your agent

Kiin + reporting tools

Automated client or management reports, through the connectors your agent already has.

Connect your agent
Getting started

Start with one agent.Automate more as you go.

No agent-building experience needed. Start with one workflow and build toward more automated account management.

  1. STEP 1

    Connect your AI agent

    Connect Kiin to Claude, ChatGPT, Grok, Dot or another supported agent, and authorise your LinkedIn Ads account.

  2. STEP 2

    Choose a template

    Pick an agent for bidding, reporting, creative fatigue, A/B testing or another recurring job.

  3. STEP 3

    Make it yours

    Set your goals, schedule, thresholds and what needs your approval.

  4. STEP 4

    Let your agent get to work

    It reviews performance, investigates issues and prepares or carries out supported actions.

Connect your agent
Connect in minutes

Give your AI agent the expertise to run LinkedIn Ads.

Connect your ad account to original research, real advertiser benchmarks and expert optimisation playbooks. Let your AI agent handle more of the work, from strategy and campaign launches to analysis and automation.

Connect your agentExplore what your agent can do

Built by ex-LinkedIn specialists. Powered by Kiin Labs research.

Kiin Intelligence · kiin.coPanel figures: Kiin panel, 16 Oct 2026