She knew what needed to happen. She just needed to do it fast.
No Time for a Year-Long Roadmap
Legacy tools weren’t going to cut it. Cassandra didn’t have the budget for a sprawling martech stack, the bandwidth for a six-month implementation, or the patience for a platform that would box her into rigid, out-of-the-box logic.
“CaliberMind offered transparency and the clear ability to customize our attribution models, our channel and campaign definitions in a way that’s unique to Superside specifically — and our own historical data quirks that needed to be accounted for to get to accuracy,” she says.
Just as importantly, CaliberMind could do something most tools can’t: not just pull data from Salesforce, but push data changes back into it. With nearly ten years of inconsistent field definitions, leaky MQL buckets, and sales reps entering data however they saw fit, the ability to clean up the source directly was critical.
In less than a month of onboarding with CaliberMind, their campaign and channel insights were directionally accurate — exponentially better than anything Superside had before. Armed with early cost-per-opportunity data, the team began cutting underperformers and doubling down on what was working: Meta virtual event promotion, gated content downloads, and Google non-branded search.
From Directional to Precise
With the foundation in place, Michelle took the work to the next level — three layers of accuracy work that would turn directional data into something the team could fully trust.
The first was UTM accuracy. Superside’s Salesforce instance had only dynamic UTM fields that updated with every new touchpoint, reflecting only the most recent source rather than the original. Stamped fields that preserved first-touch data existed but weren’t being used in reporting. “Making that shift in our new reporting was important,” Michelle explains, “and getting stakeholders aligned on using these source fields is what would make cross-channel comparisons more reliable and accurate.”
The second was attribution modeling. Salesforce’s native reporting was limited to last-touch attribution only, systematically undercounting marketing’s full influence on pipeline. Moving to an even-weighted multi-touch model in CaliberMind gave every touchpoint across the full buyer journey a share of credit. “It allowed us to see a more holistic view of marketing influence,” Michelle says — a meaningful upgrade from a model built only around campaign-associated contacts and last-touch conversions.
The third was opportunity contact roles. Salesforce only credited touches from contacts explicitly assigned a role on an opportunity — a step sales reps frequently skipped early in the deal cycle.