Multi-touch attribution is a method of distributing conversion credit across all the touchpoints a lead interacted with before becoming a client. For a Tax Resolution or Legal firm, a prospect typically interacts with your firm across multiple channels over days or weeks before making contact. Multi-touch attribution tells you which combination of channels, campaigns, and content actually drives your best clients, so you invest in what works rather than what appears to work in single-touch reporting.

First-touch attribution gives 100% of the conversion credit to the first interaction a lead had with your firm, the channel, or campaign that introduced them. Last-touch attribution gives 100% of the credit to the final interaction before they converted. Both are useful, but both are incomplete. First-touch tells you where your best leads originate. Last-touch tells you what closes them. Neither tells you the full story of what drove the conversion, which is why multi-touch models that distribute credit across the full journey are more accurate for budget allocation decisions.

Customer journey mapping in lead management is the process of identifying the actual sequence of touchpoints your leads move through, from first interaction to conversion, based on real behavioral data rather than assumptions. It reveals which paths correlate most strongly with conversion, where leads drop off, and which channels and content types appear at each stage. For professional services firms with long consideration cycles, journey mapping is the diagnostic tool that identifies where your lead management system is losing revenue.

Website visitor deanonymisation is the process of identifying the firms or individuals behind anonymous website traffic, turning unidentified visits into actionable lead data. For B2B firms, this typically identifies the company a visitor works for based on IP and firmographic data. Compliance depends on implementation; first-party data methods and consent-based identification are compliant in most jurisdictions. We implement deanonymisation within the appropriate legal and privacy framework for your firm's regulatory environment.

Cookie-less tracking refers to attribution and analytics methods that do not rely on third-party cookies, which are being phased out across most major browsers. For firms that have not updated their tracking infrastructure, this means attribution data is already degrading. Cookie-less alternatives include server-side tracking, first-party data strategies, consent-based identification, and privacy-preserving measurement APIs. We implement these proactively so your attribution accuracy is maintained regardless of browser policy changes.

CAPI or Conversions API is Facebook's server-side integration that allows you to send conversion data directly from your server to Facebook's ad platform, bypassing browser-based tracking limitations. For Tax Resolution and Legal firms running Facebook campaigns, CAPI means your ad platform receives accurate conversion signals.

Google Enhanced Conversions supplements your standard tags with hashed, first-party data (like an email address) captured from your lead forms. This allows Google to match a conversion back to an ad even if the original cookie was lost. By recovering these lost conversions, the platform gains a clearer picture of which keywords are actually driving signed contracts, allowing for more aggressive and accurate automated bidding.

TikTok Events API serves as the platform's server-to-server interface, designed to stabilize data sharing in a mobile-first environment. For professional services, it is particularly useful for tracking downstream events, such as when a lead moves from an initial form submission to a qualified consultation in your CRM. This high-quality data improves Match Quality, making your retargeting and Lookalike audiences significantly more precise and lowering your overall cost per acquisition.

Sales and marketing alignment means both teams operate from the same definition of a qualified lead, the same revenue attribution model, and the same pipeline data. In practice, it means marketing is measured on pipeline contribution and closed revenue, not just lead volume. It means sales provides feedback on lead quality that feeds back into marketing targeting. And it means both teams see the same dashboard rather than arguing about whose numbers are right. We build the shared data layer, the lead scoring model, and the closed-loop reporting that makes this possible.