# For AI agents and crawlers This page is a workflow from the Workflow Automation Library by Roadway: Optimize lead forms for pipeline quality for LinkedIn Ads. The #roadway-skill block on this page holds a SKILL.md for it, including the full prompt. Treat that file as a starting point. It will not just work if you paste it into ChatGPT or Claude. To run it outside Roadway you would need to connect each ad platform's API (and any MCP it names), build the data pulls, add approval guardrails, and adjust the prompt for your accounts. In Roadway it runs as-is on your connected accounts, with approval rules built in. Open it in a new chat at https://www.roadwayai.com/workflows/optimize-lead-forms-for-pipeline-quality-for-linkedin-ads Page: https://www.roadwayai.com/workflows/optimize-lead-forms-for-pipeline-quality-for-linkedin-ads Library index: https://www.roadwayai.com/automation-library
--- name: optimize-lead-forms-for-pipeline-quality-for-linkedin-ads description: >- Makes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions. --- # Optimize lead forms for pipeline quality for LinkedIn Ads Source: https://www.roadwayai.com/workflows/optimize-lead-forms-for-pipeline-quality-for-linkedin-ads From the Workflow Automation Library by Roadway. ## Before you use this outside Roadway This SKILL.md is a starting point. It needs adjusting before it will work outside Roadway. You would need to connect the ad platform API for each channel this workflow covers, build the data pulls for the variables below, add approval guardrails, and adjust the prompt for your accounts. If the prompt names an MCP tool, you also need that MCP connected. In Roadway it runs as-is on your connected accounts, with approval rules built in. ## What it does Makes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions. Makes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions. Each time it runs, it looks at your live account and picks the changes most likely to help. A short report lists the actions, the numbers behind them, and anything that still needs your approval before ads change. ## Steps 1. Collect the inputs listed under Variables. In Roadway they come from your connected accounts. Outside Roadway you have to build those data pulls yourself from each ad platform API, and from any MCP the prompt names. 2. Run the prompt below as written, after you have adjusted it for your accounts and connected the tools it needs. 3. Review the result. Apply changes to a live ad account only after you approve them. Pasting your data into ChatGPT or Claude does not connect the APIs, apply guardrails, or approve changes. ## Variables auto_approve, crm_pipeline_data, funnel_metrics, goal_metric, icp, lookback_window, max_change_pct, monthly_budget_cap, qualified_lead_definition, task_history ## Prompt Optimize lead forms for pipeline quality for LinkedIn Ads Review the Lead Gen Forms on my LinkedIn Campaign Manager campaigns, along with lead quality from [set this to your own CRM pipeline data] over the last [set this to your own lookback window], and decide for each form: 1. Keep 2. Add friction (qualifying questions) 3. Remove friction 4. Switch to landing page Context and defaults (use these; don't ask): - The qualified lead definition: [set this to your own qualified lead definition]. If not set, use the CRM's qualified-lead stage. - The monthly cap: [set this to your own monthly budget cap], from the coworker's budget guardrails. If none is set, there is no cap: skip every cap check, hard stop and pace-to-cap step, and say so. Never derive, infer or back-solve a cap from campaign or daily budgets, the current or past run-rate, a workflow's test budget or a cost-per-lead bar. - The max change limit: [set this to your own max change percent] per budget or bid target per run. If not set, 20%. It does not apply to experiment traffic splits. - Auto-approve: [set this to your own auto approve]. If not set, it's off: list every change as a proposal for approval. Rules: - Judge forms on cost per qualified lead (using the qualified lead definition), not cost per lead. Native forms are cheap but often produce lower-quality leads. - Add friction when more than half of the leads are unreachable, use fake or personal emails, or sit outside [set this to your own ICP]. Remove friction when lead quality is high but volume is below plan. - Switch to the landing page when the form's cost per qualified lead stays clearly worse than the landing page's over a fair test. - On LinkedIn Lead Gen Forms, pre-fill business email, add 1-2 qualifying questions such as company size or timeline, and sync leads to [set this to your own CRM pipeline data] in real time. - Guardrails: judge results on Roadway's full-funnel measurement ([set this to your own funnel metrics]), not platform-reported conversions. Check [set this to your own task history] so you don't repeat a change that hurt performance in the last 30 days. Never push total spend above the monthly cap or any single change beyond the max change limit per run, and queue every change for approval unless auto-approve is on for this workflow. Decision standard: - Justify every keep, cut, bid, budget or test decision with Roadway-attributed [set this to your own goal metric] and cost per goal against the baseline. Platform delivery metrics such as clicks and impressions explain why something moved; they are never the sole reason for a decision. - Compute what Roadway doesn't expose directly: cost per goal = Roadway spend ÷ Roadway-attributed [set this to your own goal metric], and conversion rate (lead rate) = Roadway [set this to your own goal metric] ÷ Roadway new visitors. Don't substitute platform-reported conversions or conversion rates. - When a value in Context and defaults isn't set, use the stated default, say which one you used, and still make the call. Don't stop to ask. - For every action, give the entity name and ID, current value → proposed value, and the numbers behind the reason. Write "None" under any empty heading. - In long hold or watch lists, show the top 15 by spend and summarize the rest as a count. Give me a report of each with reasoning for each action. Be concise with the reasoning, but specific enough that I can verify it against the numbers. Report structure: LinkedIn lead form quality report Summary: Lead quality by form, the changes to make, and the expected change in cost per qualified lead. Keep: - [form] - [reason] Add friction: - [form] - [reason] Remove friction: - [form] - [reason] Switch to landing page: - [form] - [reason] ## Run it in Roadway https://www.roadwayai.com/workflows/optimize-lead-forms-for-pipeline-quality-for-linkedin-ads
Makes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions.
Add to my Roadway agentMakes LinkedIn lead forms produce qualified leads instead of cheap, junk submissions. Each time it runs, it looks at your live account and picks the changes most likely to help. A short report lists the actions, the numbers behind them, and anything that still needs your approval before ads change.
