The LinkedIn Ads + Outbound Workflow That Returns $3.28 for Every $1 Spent

Every dollar we put into LinkedIn Ads comes back as $3.28 in revenue. Not from ads alone. From a system that uses LinkedIn Ads as the warm-up layer and outbound as the conversion layer.

Ivan Falco built this workflow at ColdIQ after noticing a pattern across 70+ B2B client accounts. Pure cold outreach works. LinkedIn Ads work. But combining them produces reply rates that are 2X higher than cold outreach alone, because every prospect you email has already seen your brand in their LinkedIn feed.

This is the exact seven-step process, from ad setup to booked meetings, with every tool and decision explained.

1. Build LinkedIn Ad Campaigns With Department-Level Targeting

The foundation of this workflow is how you structure your LinkedIn Ad campaigns. You are not running one broad campaign. You are running separate campaigns for each department you want to reach.

If your ICP includes sales leaders and marketing leaders, that is two separate campaigns:

→ Campaign 1: VP of Sales, Head of Sales, Chief Sales Officer

→ Campaign 2: VP of Marketing, Head of Marketing, CMO

Each campaign uses standard LinkedIn targeting. Job title targeting for precision, or seniority plus function targeting for broader reach. Both work. The key is that each campaign maps to one department.

Why this matters

This structure is not about ad performance. It is about what happens downstream. When a company engages with your "Director+ in Sales" campaign, you know it was a sales leader who interacted. When a company engages with your "Marketing" campaign, you know marketing leaders were the ones clicking.

This department-level signal becomes the targeting logic for your entire outbound motion. Without it, you know a company engaged, but you have no idea which persona to contact. With it, you know exactly who to reach out to and what message to send them.

Set the budget conservatively at first. You are not optimizing for conversions from ads. You are optimizing for engagement volume from ICP accounts that you can later convert through outbound.

2. Track Which Companies Engage With Your Ads

LinkedIn Ads do not tell you which specific companies engaged with your campaigns. You get impressions, clicks, and conversions at the campaign level. But the individual company data is locked behind LinkedIn's reporting limitations.

Fibbler solves this. It connects to your LinkedIn Ad account and surfaces the companies that interacted with each campaign. Not just clicks. Engagement across impressions, video views, and ad interactions.

The output is a list of companies per campaign. So you get:

→ 47 companies that engaged with your "Sales Leaders" campaign

→ 32 companies that engaged with your "Marketing Leaders" campaign

→ 18 companies that engaged with both

This is the data layer that makes the entire workflow possible. Without company-level engagement tracking, you are guessing which accounts saw your ads. With Fibbler, you have a verified list of companies that already interacted with your brand, tagged by the department that engaged.

A note on timing

Run your ad campaigns for at least two to three weeks before pulling engagement data. You need enough volume to build a meaningful list. Pulling too early gives you a thin list that is not worth the outbound effort.

If you want to see which companies in your market are already showing buying signals before running ads, you can check that here, for free:

Intent Signals

3. Qualify and Score Engaged Accounts

Not every company that clicked your ad is worth reaching out to. A 10-person agency that liked your post is not the same as a 500-person SaaS company that clicked through to your landing page three times.

Ivan runs every engaged company through a qualification layer in Clay. The scoring model looks at:

→ Company size (employee count and revenue range)

→ Industry fit (does this company match your ICP vertical)

→ Engagement depth (single impression vs. multiple interactions across campaigns)

→ Existing CRM status (are they already in your pipeline or a current customer)

The CRM check is critical. Ivan pulls existing records from Attio into Clay to cross-reference every engaged company against the current pipeline. If a company is already in active conversations with your sales team, you do not want an automated outbound sequence hitting them. That creates confusion, not pipeline.

OpenAI's API handles the scoring logic inside Clay. Each company gets a fit score based on firmographic data and a weighted engagement score based on ad interaction depth. Companies that score above the threshold move forward. The rest get added to a nurture audience for future ad campaigns.

What the threshold looks like in practice

For ColdIQ's campaigns, Ivan typically qualifies 40 to 60 percent of engaged companies. The rest are filtered out because they are too small, wrong industry, or already in the CRM. This filtering is what keeps outbound reply rates high. You are only contacting companies that are both a strong fit and already warmed up by your ads.

4. Identify the Right Leads Based on Campaign Engagement

You now have a qualified list of companies tagged by which campaign they engaged with. The next step is finding the right people inside those companies.

This is where the department-level campaign structure pays off. If a company engaged with your "Sales Leaders" campaign, you are looking for:

→ VP of Sales

→ Head of Sales

→ Director of Sales

→ Chief Revenue Officer

If they engaged with your "Marketing Leaders" campaign, you are looking for:

→ VP of Marketing

→ Head of Marketing

→ Director of Demand Generation

→ CMO

You are not blasting every executive at the company. You are targeting the specific department that showed interest. This precision is what separates a 5 percent reply rate from a 10 percent reply rate.

Ivan identifies leads using Clay's people search, filtering by company, title, and seniority. For each qualified account, he pulls two to three contacts from the relevant department. Going deeper than three contacts per company dilutes the personalization effort and starts feeling like mass outreach to the recipient.

You can find the right contacts at your target companies here, for free:

People Finder

5. Find Verified Contact Data

Having the right names means nothing without verified contact data. A bad email address burns your sender reputation. A bad phone number wastes your sales team's time.

Ivan runs a multi-tool waterfall to maximize coverage and accuracy. The waterfall works like this:

→ First pass: FullEnrich checks its database for email and phone

→ Second pass: Prospeo fills gaps on emails that FullEnrich missed

→ Third pass: LeadMagic handles remaining gaps and provides additional verification

The waterfall approach matters because no single data provider has 100 percent coverage. Running three providers sequentially gets you to 85 to 95 percent email coverage for B2B contacts, compared to 50 to 70 percent from a single provider.

Clay orchestrates this waterfall automatically. Each provider runs in sequence, and the system only calls the next provider when the previous one returned no result. This keeps costs low because you are not paying three providers for the same contact.

Verification is non-negotiable

Every email that comes back goes through a verification step before it enters any outreach sequence. Sending to unverified emails tanks your deliverability. A bounce rate above 3 percent on a cold campaign can trigger spam filters that affect your entire sending infrastructure.

You can verify email addresses before launching any campaign here, for free:

Email Finder

6. Enrich Your CRM With Ad Engagement Data

Before any outreach goes out, Ivan syncs all enriched data back into the CRM. This step is easy to skip and expensive to ignore.

Every lead that enters Attio gets tagged with:

→ Which ad campaign they engaged with (Sales, Marketing, etc.)

→ Their company's qualification score from Clay

→ The enriched contact data (verified email, phone, LinkedIn URL)

→ A source tag marking them as "LinkedIn Ads + Outbound" leads

This tagging creates a closed feedback loop. When your sales team talks to these leads, they know the prospect already saw specific ads. They can reference it in conversation. "I noticed you checked out our content on scaling sales teams" is a warmer opener than anything a generic cold call script produces.

The CRM data also lets you measure the full-funnel ROI of your ad spend. You can trace every dollar of pipeline back to the specific LinkedIn campaign that first engaged the account. That is how Ivan calculated the $3.28 return on every $1 spent. The attribution is clean because every lead carries its source data from first ad impression to closed deal.

Keep the data flowing both ways

When a lead replies or books a meeting, that data should flow back to inform your ad targeting. Accounts that convert become the seed for lookalike audiences on LinkedIn. Accounts that do not convert stay in the retargeting pool for future campaigns. The system gets sharper over time because each cycle generates better data.

7. Launch Multichannel Outreach to Warm Leads

This is where pipeline gets built. Every lead in your outreach sequence is an ICP fit from a company that has interacted with your ads multiple times. They have seen your brand. They recognize your name. They just have not had a direct conversation yet.

Ivan runs outreach across three channels simultaneously:

→ Email via Instantly: the primary channel for volume. Cold email sequences of three to four emails over two weeks.

→ LinkedIn via Expandi: connection requests and DMs that reference the same value propositions from the ad campaigns.

→ Multichannel via lemlist: coordinated sequences that combine email, LinkedIn, and manual tasks into a single workflow.

Why reply rates double

The 2X improvement in reply rates compared to pure cold outreach comes from one thing: familiarity. When a VP of Sales receives your cold email, they have already seen your document ads in their LinkedIn feed. They might have watched your video ad. They clicked on your landing page. Your name is not foreign to them.

This is the difference between reaching out to a stranger and reaching out to someone who has been passively consuming your content for weeks. The email itself does not need to be dramatically different. The context around it is what changes the response.

Sequence design tips

Keep the first email under 80 words. Reference the problem your ads addressed, not the ads themselves. Never say "I saw you clicked our ad." Instead, lead with the pain point or result that your ad campaign was built around. If your ads talked about scaling outbound without hiring more SDRs, your email should open with that same angle.

The second email should add proof. A case study, a specific number, a client result. The third email should create urgency or offer an alternative angle. If the first email focused on efficiency, the third might focus on competitive pressure.

Before launching any outreach sequence, run your emails through a deliverability check to make sure they land in the inbox:

Spam Checker

8. Conclusion

The LinkedIn Ads plus outbound workflow is not complicated to understand. Run targeted ads by department. Track which companies engage. Qualify them. Find the right contacts. Reach out across multiple channels.

The complexity is in the execution. Getting Fibbler connected and pulling clean engagement data. Building scoring models in Clay that separate real prospects from noise. Running a three-provider waterfall that maximizes email coverage without blowing your data budget. Coordinating sequences across Instantly, Expandi, and lemlist so prospects get a consistent experience.

Ivan Falco built this system at ColdIQ because the math was obvious. Ads alone generate awareness but leave pipeline on the table. Cold outreach alone works but fights an uphill battle against inbox fatigue. Combining them creates a compounding effect where each channel makes the other more effective.

The $3.28 ROAS and 2X reply rate improvement are not theoretical projections. They are measured results from running this workflow across ColdIQ's own pipeline and our client accounts.

If you are spending money on LinkedIn Ads without an outbound layer, you are paying for attention and then hoping it converts on its own. If you are running cold outbound without an ad layer, you are starting every conversation from zero. The combination is what turns ad spend into predictable pipeline.

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