How Adgurus qualifies phone leads and optimizes ad spend with Nimbata

Why Adgurus qualifies phone leads with Nimbata

In high-volume, phone-heavy funnels, Adgurus qualifies phone leads automatically using Nimbata AI to act on what callers actually said, not just click-path heuristics. By combining call summaries, custom prompts, and tight integrations with Google Ads, GA4, Meta, Zapier, and Google Sheets, the agency turns real conversations into structured performance signals.

The results? Credible CPQL visibility, ROAS modeling across channels, and the confidence to reallocate spend based on conversations that convert.

In conversation with:

– Yannis Giovanos,
Founder of Adgurus

“Before Nimbata, everything was manual CPC — every day was a new battle. Now, the algorithm knows exactly which jobs bring more money.”

About Adgurus

Founded in 2017 by Yannis Giovanos, who brings over 15 years of experience across in-house, agency, and leadership roles, Adgurus is intentionally small and embedded. With a 10-15 client roster, they work as a strategic partner rather than a deliverables factory. That boutique model demands two things every day; proof (Is this a qualified lead?) and pace (Can we act on what callers said, right now?).

Nimbata provides the call-level evidence and speed to do both.

The challenges Adgurus faced

• 1. Lead quality was unclear in phone-heavy funnels
  In categories with lots of calls (e.g., medical clinics), it was hard to tell, quickly and consistently, which calls were sales-worthy vs. time-wasters.
• 2. Reporting undervalued phone conversions
  Reporting centered on forms understated results and warped CPA and keyword decisions. Calls weren’t fully represented, so budgets leaned toward cheap clicks.
• 3. Attribution lacked consistency across Ads, Analytics, and CRM
  Insights lived in silos. Ads and analytics didn’t always reflect what the CRM knew, and vice versa, slowing iteration and blurring the picture.
• 4. A fractional CMO engagement model required call-level evidence
  High-touch consulting means making and defending decisions fast. Adgurus needed call-inclusive metrics they could trust with finance and leadership.

How Adgurus solved them with Nimbata

Once they understood what their issues were, namely, unclear lead quality, blind spots in attribution, form-heavy reporting, and constant pressure to defend strategy, Adgurus began rebuilding their process around something simple; every meaningful decision should start with the call itself. That’s where Nimbata became the layer of intelligence the team didn’t have before.

1. AI-driven qualification
   Adgurus qualifies phone leads with AI call summaries and custom prompts to identify key outcomes (e.g., booking appointments). They added automated lead scoring so quality could be separated from noise; without listening to every recording.
2. Unified revenue reporting
   They blended call conversions with form revenue in Google Sheets to create a single performance signal for Google Ads. With calls counted, they could report Cost per Qualified Lead (CPQL) and model potential ROAS alongside digital conversions.
3. Cross-platform attribution
   They pushed attributed call data into Google Analytics/Ads and Meta so platform signals reflect phone outcomes, then used Zapier to sync enriched call intelligence into CRM/lead management. Google Sheets remained the quick analysis layer.
4. Strategic, embedded consulting rhythm
   With call outcomes structured, the team could refine keywords, improve ad content, and reallocate budget based on what prospects actually said; creating a consulting rhythm that’s strategic and hands-on, grounded in call-level evidence.

What results did Adgurus see?

As the new workflow took hold, the shift was noticeable almost immediately. What had once required hours of listening, patch-working spreadsheets, and debating attribution turned into a fast-moving loop of insight and action. The impact showed up across qualification speed, creative decisions, optimization cycles, and stakeholder conversations.

• 1. AI-led lead qualification becomes automatic
  Calls are summarized, scored, and categorized in real time.
• 2. Sharper optimization across ads and creative
  Call sentiment and outcomes guide keyword choices, messaging, and targeting.
• 3. Clearer ROI tracking with CPQL + ROAS
  Spend maps directly to qualified conversations.
• 4. Faster, data-driven decisions
  Campaigns shift the same day, not the same week. Stakeholder conversations become clearer, calmer, and grounded in evidence.

“Nimbata’s reliability and support have been fantastic; even rare issues get same-day responses. That gives me real confidence.”
– Yannis Giovanos, Founder

Nimbata’s workflow at a glance

Under the hood, the system is surprisingly lightweight. What makes it powerful is the way each step hands reliable signal to the next. Here’s how the full cycle works day to day inside Adgurus’ accounts.

• 1. Capture: Calls come in. Nimbata immediately generates:
  • AI summaries
  • outcome tags
  • scoring events
  • structured notes

• 2. Classify: Custom prompts flag appointments, intent level, service categories, objections, and more.

• 3. Distribute: Signals sync instantly to:
  • Google Ads: bidding reacts to qualified calls
  • GA4 & Meta: analytics + paid social see identical data
  • CRM (via Zapier): enriched records inform pipeline decisions

• 4. Act: Adgurus blends call conversions with form revenue in Google Sheets, producing a single number that drives pacing, budget allocation, and prioritization.

FAQ on how Adgurus qualifies phone leads