The runnable library - every mission with the prompt, the steps and what comes back. 131 posts, page 3 of 6.
A first-touch email per contact written from the row's latest signal - hiring, funding or technology change - in your voice, loaded into an unsent Lemlist campaign.
The accounts on a list divided into three territories balanced by fit score and region, with the assignment rules proposed and the mapping delivered in Sheets for RevOps sign-off.
Every lead in an Instantly campaign verified before it starts, risky and invalid addresses removed, leads deduped against your other campaigns, and removals reported with reasons.
A CSV of signups resolved to companies and scored against your ICP, the top tier posted to #sales with suggested next steps and the rest added to an ActiveCampaign nurture list.
Every phone number on a list normalized, checked for line type and connection, disconnected numbers dropped, and a calling sheet of only the numbers that pass exported to Sheets.
Duplicate companies in Attio found by domain and name variants, merges proposed with normalized names and domains, and a change log CSV to approve before any record is merged.
Every Zoho CRM contact email verified, bounced and invalid addresses set to do-not-email, catch-all domains flagged for review, and a before-and-after report sent via Zoho Mail.
This week's LinkedIn Lead Gen Form leads enriched, scored against your ICP with the reason shown, and upserted into HubSpot with the source campaign kept on every record.
Customers in HubSpot, the companies on your competitor and partner CSV and do-not-contact domains removed from list <name>, saved as <name> - suppressed with a count per reason.
A messy prospect CSV normalized, domains resolved, every email verified, deduped against Pipedrive and imported as clean additions only, with a change log you approve first.
Every HubSpot company scored 0-100 against your ICP, score and top reason written back to custom properties, and the ranked book of business charted in Google Sheets.
Every company on list <name> scored 0-100 against your ICP on industry, headcount, region, technologies and intent on <topic>, with reasons per row and a ranked Google Sheet.
Every email on list <name> verified into deliverable, risky, catch-all and invalid, deduped on email and domain, with only the clean rows pushed to a HubSpot static list.
Closed-won HubSpot deals from LinkedIn staged weekly as conversion events with value and close date, sent as one approved batch so campaigns optimize toward revenue.
Each week's LinkedIn Lead Gen Form leads scored against your ICP, conversion events staged for only the qualified ones so campaigns optimize toward buyers, approved per batch.
Customers marked churned in Pipedrive in the last 18 months built as Meta and Reddit custom audiences on your connected accounts, with both match rates reported to #paid.
Monthly re-run of the criteria behind an audience: new matches added to the LinkedIn and Meta audiences, new customers removed, and the size delta posted to #paid.
Companies detected running a competitor's tool, cut to your market by size and region, created as a LinkedIn company-matched audience with the matched count posted to #paid.
Event registrants enriched with company and title, built as a LinkedIn matched audience, plus a suppression file so acquisition campaigns stop paying to reach them.
A saved list exported in the exact customer-list upload formats TikTok, X and Pinterest each expect, saved to a Drive folder with a field mapping and hashing note per platform.
HubSpot contacts split by lifecycle stage into one Meta custom audience per stage on your connected account, with a targeting note and size for each in a Google Doc.
ICP-fit companies showing buying intent on a topic this month created as a LinkedIn company-matched audience on your account, with the size and list posted to #paid.
The buying committee at 50 target accounts found and verified, created on LinkedIn Ads as a contact-matched audience and a company-matched audience, both sizes reported.
Current customers, open opportunities, partners and competitors removed from a list before any audience is built, saved as a clean list with the counts removed at each step.
Open a workspace and the playbook library is waiting - describe the outcome and the agents carry it end to end, on your plan's monthly credits.