Optimizing Leads with Data Science: Kamran Bakhtiari

Kamran Bakhtiari, CEO of LeadsOptics and Pepperdine instructor, joins Jake Thorpe and Carson Poppenger to expose the hidden data gaps killing lead conversion — and the tools, tactics, and mindset shifts that fix them.

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Key takeaways

Enriching leads with 40–50 consumer data points before the first sales call separates lead quality issues from sales execution issues.
AI call analysis (Converse AI) enables 100% QA coverage, surfacing rep-level coaching insights that manual review at 1–3 calls per agent per week will always miss.
Demonstrating a measurable win within the first 30 days is essential to earning executive sponsorship for disruptive operational change.
A single alignment meeting between marketing and sales teams produced a 5-point close-rate lift with no process changes — trust and accountability matter.
Excel's 1-million-row cap creates dangerous blind spots; a data warehouse like Snowflake is required for full-funnel analysis at scale.
Regulatory changes expected in early 2025 are forecast to cut lead volumes 25–40% and push costs up 2–3x, making conversion optimization mission-critical.
Champion Challenger testing — across creative, contact strategy, and vendors — is the only reliable engine for continuous improvement.

Why Most Lead Funnels Leak Money

Kamran Bakhtiari has spent his career at the intersection of data science and lead generation, running marketing for major mortgage companies including LoanDepot, PennyMac, and Mission Loans before founding LeadsOptics. His core argument: a 1–2% improvement at each stage of the lead funnel compounds dramatically — and most companies are leaving those gains on the table because they lack visibility into their own data.

Lead Enrichment: From 10 Fields to 50

When a lead arrives, most buyers see roughly 10 standard fields — name, email, phone, address. Bakhtiari’s team enriches each record with 40–50 additional consumer data points before a sales rep ever picks up the phone. That enrichment answers a critical question upfront: is this a sales execution problem or a lead quality problem? Segmenting conversion rates by lead source, loan amount, FICO band, state, and area code often surfaces issues that have nothing to do with the sales team — such as capital markets pricing strategy inadvertently making certain loan tiers unconvertible.

AI-Powered Call Intelligence

LeadsOptics’ Converse AI product listens to every sales call and generates granular, rep-level coaching data. Most companies QA one to three calls per agent per week — many do none at all unless a complaint surfaces. AI removes that bottleneck entirely, identifying the exact phrases and behaviors separating top converters from underperformers. The goal isn’t surveillance; it’s enablement. When a rep sees that specific coaching feedback is lifting their commission check, they become an ally rather than a skeptic.

Bridging the Marketing–Sales Divide

Organizational friction between marketing and sales is one of the most consistent conversion killers. Bakhtiari’s approach: demonstrate a measurable win within the first 30 days to earn executive sponsorship, then build trust at every level of the organization. The hosts describe a parallel experience where a single alignment meeting with a sales team — with no process changes at all — produced a five-point lift in close rates, purely from restored accountability and enthusiasm.

Beyond Excel: The Case for a Data Warehouse

Excel’s one-million-row limit becomes a hard ceiling fast. One client running half a million calls a day could only analyze two days of data at a time. Bakhtiari recommends consolidating all disparate data sources — CRM, dialer, lead providers, call transcripts — into a data warehouse such as Snowflake, Databricks, or Azure. A client with over 50 million rows discovered that low contact rates in specific area codes were simply caused by a lack of matching outbound DIDs — a fix invisible without full-funnel data visibility.

Preparing for Higher Lead Costs

Regulatory changes expected in early 2025 are projected to reduce lead volumes by 25–40% while pushing costs up 2–3x. That math makes operational discipline non-negotiable. Higher-cost, consent-verified leads should naturally carry better conversion potential — but only for buyers who have the processes in place to capitalize on them.

Closing Advice: Always Run Champion Challenger

Never assume experience alone is sufficient — test everything, including contact strategy and creative.
Focus on what the 95% of leads that didn’t convert can teach you, not just the 5% that did.
Outsource to specialists (call centers, data platforms) rather than trying to build every capability in-house.
Data-driven decision-making isn’t optional anymore — gut feel alone is falling behind the market.

A one to 2% difference in the lead funnel at each of the different steps really compounds itself — manifests itself to either being in the black or being in the red.

— Kamran Bakhtiari

The urgency around — no pun intended — squeezing every ounce of juice out of every single lead is more profoundly impactful when lead costs are going up 2 to 3x.

— Kamran Bakhtiari

Running things status quo is only going to get you status quo results. By always having some Champion Challenger tests running, that's how you're going to constantly drive improvements.

— Kamran Bakhtiari

The salesperson is our first customer — even before the executives. If they're excited to take a call, they're going to close those deals.

— Carson Poppenger

Episode chapters

Frequently asked questions

What is LeadsOptics and what does it do?

LeadsOptics is a technology platform founded by Kamran Bakhtiari that focuses on lead scoring, lead enrichment, and AI-powered call analysis. It helps companies identify which leads have the highest propensity to convert and coaches sales reps using data from every call.

How does lead enrichment improve conversion rates?

Lead enrichment appends 40–50 additional consumer data fields to each incoming lead, allowing teams to score quality before the first sales contact. This separates genuine conversion problems — poor sales execution — from lead quality problems, so resources are focused on genuinely convertible opportunities.

What is Champion Challenger testing in lead generation?

Champion Challenger testing means running a controlled experiment where a current 'champion' strategy competes against a new 'challenger' variant — in creative, contact cadence, or vendor mix. It provides empirical evidence for what actually moves conversion, rather than relying on gut instinct.

Why is Excel insufficient for lead funnel analysis?

Excel caps out at approximately one million rows, which covers only a fraction of the data generated by high-volume call centers or large lead programs. A data warehouse like Snowflake can consolidate billions of rows from CRM, dialer, and lead sources into a single, query-able view.

How will the 2025 lead generation regulation changes affect lead costs?

According to the episode, the upcoming regulatory changes are projected to reduce available lead volumes by 25–40% while increasing per-lead costs by 2–3x, making efficient conversion processes far more financially critical than they were when leads were cheaper and more abundant.

How can companies bridge the gap between marketing and sales teams?

The episode recommends securing executive sponsorship early, showing quick measurable wins, and investing in face-to-face relationship-building with sales managers. Framing data and AI tools as enablement for individual reps — rather than surveillance — drives wider adoption and reduces organizational friction.