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Instead of complex UTM tracking, Vector’s marketing team used Fathom call recording software to set up alerts for influencer names. This provided directional proof of the campaign's success by identifying demos where prospects mentioned the influencers, simplifying early-stage attribution for a hard-to-measure channel.
Vector's VP of Marketing skipped messy UTMs for her influencer pilot. Instead, she tracked success by setting up alerts in their call recording software (Fathom) for mentions of influencer names, coupled with a "How did you hear about us?" form field.
To avoid making influencer content feel like a transactional ad, Lemlist intentionally does not use UTM tracking links. Instead, they measure success by tracking sign-up uplifts against a baseline and using a model based on reach and comment quality, prioritizing authenticity over perfect attribution.
Standard attribution often credits Google due to last-click bias. To find true sources of influence, mandate that the sales team asks every new customer: "How did you *truly* hear about us?" and "Who or what influenced you to sign up *now*?". This reveals the real people and channels driving decisions.
Go beyond standard W-shaped or last-touch attribution models. Create "influence reports" that measure the sheer frequency a channel appears in any revenue-generating journey. This provides a different lens, showing which channels are consistently present and influential, even if they don't get direct attribution credit.
Relying on UTM link clicks for B2B influencer campaigns is a failing strategy, as social platforms penalize external links and users rarely convert directly. Instead, use a combination of time-series analysis (correlating campaigns to signup spikes) and self-reported attribution on forms to get a more accurate picture of an influencer's impact.
AI now enables the tracking of every customer touchpoint, including interactions outside of marketing-controlled channels. This provides a complete view from first contact to close, finally solving the long-standing challenge of accurate marketing attribution and ROI measurement.
Jess Cook executed a three-month pilot with seven micro-influencers (average 12-13k followers), resulting in 45 ICP demos and over $1M in pipeline without using direct CTAs or UTM tracking.
Don't try to prove an event "caused" a deal. Instead, track correlation. Use a simple CRM checkbox to see if deals with event attendees have a higher close rate or velocity. This is a practical, low-stress way to gauge impact.
Instead of chasing perfect attribution, recognize that customers will explicitly tell you how they found you. At Drift, prospects on sales calls would frequently mention being fans of their podcast. This qualitative data from the front lines is often the most direct and powerful measure of brand impact.
Go beyond flawed last-touch models and unreliable "how did you hear about us?" forms. Conversational AI can analyze customer calls to identify the true origin of their inquiry, such as a neighbor's recommendation, providing a more complete and accurate attribution picture.