AutoSigma is in Retail & eCommerce, in Automotive Dealer Marketing Automation. That's the market I researched for this playbook.
The playbook scrapes dealer inventory and pricing across all locations to audit multi-store offer consistency, and benchmarks promotional update velocity against aggregated peer dealerships to show lag versus the competitive market.
Signal type: Custom Research
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.
bevz.com
The playbook uses state liquor license databases and TTB COLA registry to identify newly licensed stores and cross-reference competitive craft beer SKU counts within 0.8 miles of the prospect's location.
View playbookcar-fluent.com
The playbook uses US Census Bureau Hispanic population data and Google Maps review language detection to identify dealerships with Spanish-speaking customer presence but no bilingual digital capabilities, combined with competitor bilingual site analysis.
View playbookcircana.com
Playbook uses internal POS velocity data, competitive launch tracking, retailer pricing feeds, and promotional calendar intelligence to alert CPG brands when competitors launch price-undercut SKUs in their shelf sets with quantified share capture risk.
View playbookcomplyauto.com
Playbook uses OSHA Establishment Search and FTC Safeguards Rule breach notification database to identify dealerships approaching willful violation reclassification and those with permanent public breach records creating compounding regulatory and reputational risk.
View playbooklogicbroker.com
Playbook cross-references CPSC complaint databases with customer product catalogs to flag recall-pattern SKUs, and maps supplier compliance decay timelines using FDA warning letters and internal order history.
View playbookpetcircle.com.au
Playbook uses internal order history and usage velocity to project stockout dates aligned with seasonal demand spikes, and calculates emergency order upcharges versus bulk contract pricing to quantify reactive purchasing costs.
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.
