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Activate the target account list with one identity resolution and one exclusion list across paid display, paid social, direct mail, and BDR outreach, so the same account stops getting contradictory treatment
Show account-relevant content to known and reverse-IP-identified B2B visitors, with explicit handling of the wrong-match case
Aggregate the signals from every contact in the account into one account score, because the buying committee is buying together and scoring leads in isolation misses the picture that matters
Pick an attribution model, lock it, document why, and reconcile its outputs against incrementality, so the channel report becomes one rule the team can defend rather than a debate per meeting
Stop bidding against yourself for the same person across Meta, Google, TikTok, and the rest, by maintaining a single live audience exclusion the platforms read
Record why a particular customer saw a particular experience, in a form a regulator, an internal model reviewer, or the customer themselves can reconstruct months later
Resolve individual visitors to the account they belong to, so the buying committee shows up as one account rather than scattered anonymous leads
Lower acquisition cost by feeding the bidding algorithms better conversions, deduplicated, consent-valid, and weighted by value, rather than just more of them
Recover the abandon that happened on the phone and the purchase that continues on the laptop, as one customer rather than two
Pick the cheapest channel that achieves the outcome (owned email before owned push before paid social) rather than firing every channel by default, and reserve the expensive channels for the moments they earn
Target CTV from your own customer segments and measure the reach you actually added above linear, rather than buying impressions on faith
Connect the same person across phone, laptop, and tablet using signals you can stand behind, with an honest fallback when you cannot
Merge the customer records that drifted apart over time, with the matching rules, the merge decisions, and the rollback path that lets a wrong merge be undone
Push the segments you own to the ad platforms, as seeds and as targeting, instead of renting the platforms' own decaying interest signals
Cap contact at the person, not per channel, so the customer stops getting hit five times a day by systems that do not talk to each other
Detect and retire the identity links that have gone stale, so targeting and suppression stay accurate as the customer file ages
Reconcile a person's anonymous and authenticated states when their consent decisions differ between them, without leaking the un-consented context into the consented one
Measure the lift a channel actually adds by running a holdout, not the correlation between exposure and conversion the channel's own report shows
Keep customers in legal hold, dispute, or vulnerability status out of every marketing channel, with the audit trail a regulator will ask for
Turn search queries, chat, support tickets, and reviews into structured intent signals, without mistaking sentiment for intent
Combine realized revenue with a predicted future, and carry the model's uncertainty into the decisions LTV drives, so the bid that depends on it knows what it is standing on
Get the unified spend, exposure, and conversion data clean enough for the model to produce decisions you can act on, not directional outputs that need a footnote
Surface the items the customer is most likely to want next, with explicit handling of the cold-start visitor, the privacy-restricted slice, and the rule that prevents the recommendations from collapsing to whatever everyone clicks
Reorder category results to the visitor's inferred preferences, with a default sort for unknowns and an honest signal of when sorting is personalized
Cross-platform suppression with consent propagation
Catch the customer while they are quietly disengaging, not after they have already decided to leave
Carry the deletion request from the source system to every downstream destination holding the customer's data, including active campaigns, queued sends, and cleanroom audiences
Fire a sales-owned outreach when the product-usage pattern signals real buying intent, with the orchestration between product analytics, CRM, and sales-engagement that keeps the message credible
Vary the renewal sequence and the incentive depth by predicted churn risk, instead of running the same series for every renewing customer
A single consent record per user, mechanically propagated to every downstream system that activates against it
Lead transitions from marketing to sales with the full intent context attached, account-aware rather than lead-isolated