Landing Page Per Ad Outbound

Everything downstream reads from one doc. Before you export a single contact, write down what you sell, who you sell to, and the one sentence offer. Messaging gets generated from this source. If it is not in the playbook, it does not go in the email.

For this campaign the offer is specific: a free brand-matched landing page sample for one live Google ad. Not a product demo. Not "15 minutes on my calendar." The ask is low friction because you are giving something concrete tied to creative they are already running.

Include real proof points only. If you do not have a ROAS number from a customer, do not invent one. The playbook is the guardrail that keeps AI-generated copy from drifting into generic SaaS fluff.

You are not spraying every B2B company. You want domains that already spend on Google Ads, because the entire hook depends on referencing a live ad. No ad spend signal, no personalized email.

Export contacts from your data provider with hard filters. Production targeting for this playbook: US, GB, CA, AU; Google Ads spend at or above $5k/month; email status valid and verified within the last 6 months; contact still at current job.

Dedup to one contact per domain. When you have multiple matches, prefer C-team first, then VP, then Director. You want the person who can say yes to a landing page test, not a random manager three levels down.

Split into vertical lists if your messaging differs. This playbook ran three: SaaS (Software, IT Services, Technology), E-commerce (Retail, Online & Mail Order), and DTC (Consumer, Apparel, Beauty, Cosmetics). Same personas across ecom and DTC: Growth, Paid Media, Founder/CEO. SaaS skews VP/Head/Director Marketing, CMO, Demand Gen.

For each company domain, pull what they are running right now from Google Ads Transparency. You need at minimum a text headline and a destination URL. Optional but useful: ad body text and the landing page URL the ad sends to.

Pipe domain through your scraper (ScrapeCreators as primary, Scrapingdog Ads Transparency as fallback works well). Extract four variables per lead: ad_headline (exact headline text), ad_keyword (short theme derived from headline tokens, e.g. "electric road bikes"), ad_description (body copy if available), destination_url (where the ad clicks through).

Quality gate: if the only creatives are image ads with no extractable text, do not force a personalized email. Route that lead to your generic fallback sequence or hold them for manual review. Bad personalization is worse than no personalization.

Checkpoint enrichment to disk as you go (JSON or CSV). If the scrape job fails halfway, you can resume without re-hitting the API for domains you already processed. Merge the checkpoint back into your lead file before import.

This step is not required to send, but it tells you which copy angle to use. Scrape the ad destination URL. Tokenize the ad text and the landing page text. Score overlap as a percentage.

Low match (under 25%): the ad promise does not carry through to the page. Pitch gifting a free sample page that closes the gap. Example: ad says "electric road bikes" but the LP is a generic e-bike category page.

Medium match (25-45%): partial alignment. Emphasize finishing the message match with a dedicated page.

High match (45%+): ad and LP already say the same thing. Pitch page-per-ad generation and A/B testing at scale instead of fixing a broken page.

In a 20-company pilot: 12 had usable ads, 9 low match, 2 medium, 1 high. Most prospects are low match, which is why the "gift a sample page" angle is the default.

Run five personalized sequence variants plus a generic fallback. Route by vertical and match score where you have the data. Variables available in every personalized email: {{firstName}}, {{adHeadline}}, {{adKeyword}}, {{companyName}}.

SaaS headline gift: lead with the exact headline in quotes. Ecom keyword: lead with {{adKeyword}} as the theme. DTC: same structure as ecom, slightly more brand-forward tone. High-match scale: acknowledge alignment, pitch testing at scale. Generic fallback: no ad variables, speak to the ICP pain directly.

Leads without scrapeable creative get one of three blanket templates (no ad vars). Keep the offer identical: free sample page, not a demo.

This is where most outbound campaigns die. You have a great list and great copy, then you import 400 invalid emails and Google throttles your domain. Run every lead through this pipeline before they hit your sequencer.

Static "valid" flags from your contact database are not sufficient. Re-verify every email through a live verification API right before import. People change jobs. Domains get deactivated. The cost of verification is nothing compared to a 3% bounce rate killing your inboxes.

Purge email security gateway (ESG) domains: Mimecast, Proofpoint, Barracuda, Cisco/IronPort, Tessian, and similar. These inboxes rarely convert on cold outbound and they inflate bounce/ block rates.

Add every dropped email to your sequencer blocklist so they never re-enter on a future import. Split held leads (no ad creative) into a separate file for the generic campaign.

Two campaigns minimum: personalized (leads with ad_headline and ad_keyword) and generic fallback (everything else). Keep the generic campaign paused until you have exhausted personalized volume or want to test a broader pool.

Campaign defaults that worked in production: plain text only, segmentation off, risky leads off, fallback sending on, stop on reply, stop same domain on reply, auto-pause at 3% bounce rate, open tracking off, unsubscribe link off. Open tracking hurts deliverability on cold email and the data is unreliable anyway.

Cap at 3 leads per domain per day in the sequencer UI if your tool supports it. Attach only inboxes with health scores at or above 85% and active warmup.

Sending infra: Google Workspace inboxes on dedicated domains, warmed for 2+ weeks before launch. Multiple inboxes per domain, low daily volume per inbox (30-50/day to start).

When a lead replies positively, speed matters. Your sales team needs context without opening five tabs. Automate an alert to Slack (or your CRM) with everything attached.

Include in the alert: company name, contact title, LinkedIn URL, estimated monthly Google ad spend, the live ad headline and keyword you referenced, and a direct link to their Ads Transparency page. Add a deep link back to the conversation in your sequencer.

Move the lead into a positive-reply subsequence for follow-up (deliver the sample page, ask a clarifying question, propose next step). Optionally invite your client stakeholder to the sequencer workspace as a viewer so they can watch replies come in.