Voyantis is in Marketing & AdTech, in Value-Based Ad Optimization. That's the market I researched for this playbook.
The playbook cross-references SEC EDGAR guidance revisions with marketing intelligence platform ad spend by channel to identify fintech and SaaS companies that missed quarterly revenue guidance while reallocating budget from TikTok to Meta.
Signal type: Multi-Signal Composite
The segments, the people and the public data that finds them are in the full playbook. I haven't pulled them onto this page yet. Read the full playbook
The messages are written out in the full playbook, each one tied to the data that proves the problem. Read the full playbook
Read the full playbook with your team. If it's the right angle, I can build the whole thing for you: every account in your market, the lists and the messages, in one repo your team keeps.
amsive.com
The playbook uses Google Ads auction insights and SEMrush competitive data to identify where competitors are intercepting branded searches, dominating impression share, or outbidding prospects on critical acquisition keywords.
View playbookbluehornet.com
The playbook uses internal deliverability monitoring to alert customers when ISP policy changes block significant email volume, and analyzes purchase history to identify high-value lapsed segments with quantified revenue at risk and proven win-back rates.
View playbookdesign2launch.com
Playbook uses TTB COLA registry expiration dates and inspection violation records to deliver pre-drafted compliant label templates for alcohol producers facing renewal deadlines, and identifies multi-SKU launch version control collisions from FDA registration and LinkedIn hiring data.
View playbookmarketron.com
Playbook tracks current radio advertisers buying programmatic and streaming campaigns through Pathmatics and Magellan AI, revealing wallet share leakage from broadcasters' own advertiser relationships.
View playbooknielsen.com
Playbook mines FEC campaign finance data and FCC public inspection files to show broadcast stations their exact CPM underpricing versus 8+ competitors, quantifying per-quarter revenue left on the table.
View playbookposition2.com
Playbook uses LinkedIn hiring data, SEC funding filings, and G2 reviews to identify demand gen teams scaling headcount without performance gains and target them with post-funding rebrand timing signals.
View playbookI build your full TAM in one repo, pull the lists from real problems your buyers have, and write the messages that go with them. After a three-month engagement, your team owns all of it and keeps running it.
