01 / AUDIENCESWho you should be talking toThe layer everything else reads from. Built once, kept current, never copied into a second tool.
Ideal customer defined from your closed-won, not a workshopTAM mapping and segmentationEnrichment across multiple data providersDeduplication and matching against your CRMWebsite visitor identificationMembership refreshed on a schedule
02 / ACCOUNT-BASEDThe accounts you namedA short list worked properly: the whole buying group, and outreach that waits for a reason.
Target account selection and tieringBuying group mapping, five to eight people per accountAccount scoring and prioritisationBuying signal monitoring, each with an ownerMulti-role sequences across email and LinkedInLanding pages personalised per account
03 / INBOUNDHands raised, handled in the hourMost of what inbound loses, it loses after the form. This is the half between the submit button and a seller.
Inbound lead enrichmentScoring and qualification against your ICPRouting and owner assignmentSpeed to lead alerting where your team already looksDemo request and form triageClosed-lost and dormant MQL recycling
04 / PAIDAds pointed at the listThe same audience pushed into the ad platforms and kept in step, instead of a persona guess uploaded once.
Ad audience building from CRM and signalsSync to LinkedIn, Meta and Google, refreshed as it changesMatch rates lifted by enriching before uploadSuppression for customers, employees and partnersRetargeting triggered by account signalsSpend reported against pipeline, not against clicks
05 / SEARCHFound by people, and by the modelsSearch still sends the highest-intent traffic you get, and a growing share of buyers now ask a model and never see a results page.
Keyword and buyer question researchTopic clusters and internal linkingPages built against real search demandExisting pages refreshed before they decayTechnical fixes that block indexingTracking whether the models cite you, not only Google