Give your AI agent 400+ original research insights, 25 expert-built playbooks and access to LinkedIn Ads performance data from over 1,400 advertisers. So it can plan, manage and optimise your campaigns using real evidence, not generic advice.
Why are my ads getting more expensive?Your demo campaign has been shown to its audience four times over. In Kiin's research, cost per demo lead runs about 2.2x its starting cost by then. Replace the creative. Don't raise the bid.
Kiin research · 17 to 40 campaigns per bandIllustrative agent answers, using real Kiin findings.
Most AI agents rely on general marketing knowledge. Kiin gives yours access to original LinkedIn Ads research, expert-developed playbooks and the ability to investigate performance across thousands of real campaigns. So instead of giving generic advice, your agent can make recommendations grounded in evidence.
We've analysed real LinkedIn Ads performance to uncover what drives results, from bidding and targeting to ad fatigue, creative formats and lead generation.
Your AI can reference over 400 measured findings, with supporting advertiser sample sizes and research periods.
Explore the research →Our LinkedIn Ads specialists have turned original research and practical experience into 25 actionable playbooks, from campaign planning and targeting to bidding, creative testing and optimisation.
Your agent doesn't just understand the numbers. It knows what actions to consider and how to implement them.
Your AI isn't limited to the studies we've already published. It can investigate new questions by querying the underlying advertising dataset: costs, trends, formats, audiences or campaign performance.
Kiin can return findings with supporting sample sizes and dates, where sufficient data is available.
Real figures from Kiin Labs seasonality research, shown to illustrate the format. This is not a live query. Answers depend on data coverage, available metrics and privacy thresholds, and every figure comes from at least 10 advertisers.
Without Kiin, your AI relies on general knowledge. With Kiin, it can use original research, expert playbooks, advertising benchmarks and your campaign data to make more informed decisions.
"Try testing different bidding strategies to see which performs best."
"Your audience may be experiencing ad fatigue. Consider refreshing creative, changing targeting or testing new ads."
"Increase your budget gradually and monitor performance."
"Advertising costs vary depending on competition, targeting and market conditions. Review your account's performance and industry benchmarks."
Illustrative agent responses using Kiin research findings, not real customer results or live query output.
Kiin doesn't just make your AI more knowledgeable. It gives your agent the tools to analyse, plan, manage and optimise LinkedIn Ads using that intelligence.
Develop strategies, build audiences, choose objectives and create campaigns.
Launches need your approvalIdentify inefficient targeting, unnecessary costs and opportunities to improve.
Fixes need your approvalAnalyse bidding, creative fatigue, audience performance and budgets.
Changes need your approvalCompare results with relevant advertising data and identify opportunities.
Agent does thisAnalyse leads, performance and pipeline, and explain what to do next.
Pipeline needs your CRM connectedDetected by post author, never by campaign name. LP CTR and cost per landing page click for each author and each post.
Connect the CRM read only. Kiin maps LinkedIn's company engagement to the deals it touched before they closed.
We've analysed $86M in LinkedIn Ads spend to understand what actually drives results. Those findings don't just live in research reports. They become part of the intelligence your AI uses to analyse campaigns and recommend actions.
All-time panel from 2020 to 5 November 2026, including Audience Network, with spend converted to USD. Individual studies may use different cohorts and exclusions.
Median CTR index by week of campaign life, Kiin panel.
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 our research →Kiin Intelligence was developed by a team of LinkedIn Ads specialists, including former LinkedIn employees. We combined original advertising research with years of practical experience to build the knowledge and playbooks behind the product. The result is specialist intelligence your AI can use every day.
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.
Ex-LinkedIn
Omar AboushadyCo-founder & Head of Operations
Four years inside LinkedIn Marketing Solutions. Spotify before that.
LinkedIn →
Ex-LinkedIn
Yasmin El-DeebHead of Media & Strategy
Came from LinkedIn. Owns media planning and channel strategy.
LinkedIn →
Ex-LinkedIn
Joanna SaundersHead of Demand Gen
Came from LinkedIn. Runs demand gen for clients.
LinkedIn →Build repeatable workflows for monitoring performance, diagnosing problems and recommending improvements. Pick one to see how it runs.
Your agent analyses last week's performance, investigates meaningful changes, compares your results with relevant benchmarks and produces a prioritised action plan. Decisions and actions, not a list of metrics.
Backed by Kiin Labs research library
"Every Monday, analyse last week's account performance and send the three most important recommendations to Slack."
What it doesYour agent monitors frequency, performance trends and creative effectiveness. It uses Kiin's fatigue research to flag ads that need attention and recommend when to refresh creative, change an offer or adjust an audience.
"Check my ads every day. Flag creative fatigue and recommend what to replace before performance deteriorates further."
What it doesYour agent reviews delivery by company size, industry, job function, seniority, audience and placement. It finds spend that doesn't match your ICP and prepares targeting exclusions or recommendations.
"Audit my last 30 days of spending. Show me where we're reaching the wrong people and prepare fixes."
What it doesYour 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.
Backed by Manual bidding vs maximum delivery
"Review my bids every morning. Identify campaigns that could benefit from a different bidding strategy, and prepare the recommended changes."
What it doesYour agent reviews spend, delivery, lead costs, audience saturation and the business outcomes you have, then finds where to reallocate or scale. It uses Kiin's research on scaling and saturation so it doesn't burn out your best audiences.
Backed by Saturation and wear-out research
"Every Monday, review our campaign budgets. Recommend where we should increase or decrease spend based on performance and audience saturation."
What it doesYour agent sets up, monitors and manages campaign experiments. It helps choose what to test, defines the success metric, checks whether enough evidence has built up and recommends when to scale a winner or stop a poor performer. It won't call a winner after an arbitrary number of days, or because one variant is ahead for now.
Guardrail Success metric and evidence threshold agreed before the test starts.
"Test these two ads against each other. Monitor landing page performance and recommend a winner once there's enough evidence."
What it doesFor agencies and in-house teams: your agent writes reports that explain what changed, compare each account with similar advertisers and set next week's priorities.
Backed by Whole-panel LinkedIn Ads benchmarks
"Every Friday, generate reports for all our client accounts, explain what changed and prioritise next week's actions."
What it doesAccount audits, recommendations, monitoring alerts, Slack reviews and CRM pipeline reports.
Recurring schedules, A/B test routines and client reports. Kiin suggests these routines and never switches them on. Your agent schedules one only after you say yes.
Changes to your account are shown as a preview and only applied when you approve them. No Audience Network or Audience Expansion, and no bid raises on fatigued campaigns.
Kiin connects to the AI you already use. There's no new chatbot or platform to learn.
Connect Kiin to Claude, ChatGPT, Grok, Dot or another supported agent, and authorise your LinkedIn Ads account.
Pick an agent for bidding, reporting, creative fatigue, A/B testing or another recurring job.
Set your goals, schedule, thresholds and what needs your approval.
It reviews performance, investigates issues and prepares or carries out supported actions.
Weekly campaign reviews and alerts, posted where your team works.
HubSpot, Salesforce, Pipedrive or Attio for pipeline insights and account-level reporting.
Automated client or management reports, through the connectors your agent already has.
Connect LinkedIn Ads to:
Give your AI agent access to original LinkedIn Ads research, 25 expert playbooks and $86M in advertising intelligence. Start making better decisions with the AI you already use.
