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The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations
Updated 11 days ago · Refreshed hourly
General

The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations

Hosted by Unknown Host · EN · 5 episodes

Where this show ranks

Episodes
5
Last ep.
15 days ago
Avg length
9m
Booking Probability™
35
Stretch.
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Estimated audience
,
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Listen Score
11
Niche reach.
Virality (30d)
43
Steady cadence.

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Required Pod Score
80/ 100
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Established thought leaders with verified media credentials.

Contact path
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About this podcast

Lucas and Luna dissect the machinery behind modern marketing operations — the software stacks, automation workflows, and data pipelines that turn campaigns into measurable systems. Each episode picks apart a specific MarTech tool or ops strategy: how a retailer automated its email segmentation with Customer.io, why a B2B SaaS company rebuilt its attribution model around HubSpot and Snowflake, or the trade-offs between Zapier and Make for lead routing. Lucas, a former marketing ops lead, grounds every discussion in actual implementations and failure cases; Luna challenges assumptions about efficiency gains and hidden costs — the 'automation tax' of maintenance, the data-quality debt that accumulates when teams move too fast. They never pitch tools or evangelize automation for its own sake. Instead, they ask: Does this stack actually reduce friction for the marketing team? Or are we just layering complexity? The listener is the marketing ops manager, the growth engineer, or the CMO who wants to understand where MarTech spend actually delivers versus where it just adds noise. By the end, you'll have a clearer map of your own tech stack — and a better instinct for when to automate, when to integrate, and when to leave well enough alone.

About the host

Unknown Host hosts The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations, a general show with 5 episodes published.

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Recent episodes

Our AI reads these to draft pitches

Your Marketing Automation Triggers Are Firing on Stale Data

Jun 6, 202610mEp. 34S1

In this episode, Lucas and Luna explore a hidden performance drag in marketing automation: triggers that fire on data that's hours or even days old. They walk through a concrete example—a mid-market e-commerce brand whos

The Hidden Cost of Your Marketing Data Sampling

Jun 5, 20267mEp. 33S1

Episode 33 of The Marketing Operator Podcast dives into the hidden costs of data sampling in marketing analytics. Lucas and Luna explore how sampling, often used to speed up dashboards, introduces systematic biases that

Why Your Marketing Models Are Blind to Incrementality

Jun 5, 202613mEp. 32S1

Episode 32 of The Marketing Operator Podcast. Lucas and Luna tackle one of the most persistent blind spots in marketing measurement: incrementality. They break down why standard attribution models—even sophisticated mult

The Hidden Cost of Marketing Data Residency Compliance

Jun 4, 202612mEp. 31S1

Lucas and Luna unpack the often-overlooked operational cost of data residency compliance in marketing tech stacks. Using the case of a European fintech scaling into Brazil, they walk through how local data laws forced a

Why Your Marketing Chatbots Are Betraying Your Brand Voice

Jun 4, 20267mEp. 30S1

Lucas and Luna explore a quiet crisis in marketing automation: the chatbot personality gap. Most brands deploy chatbots with generic, overly friendly or robotic tones that erode trust and confuse customers. They dive int

Why Your Marketing Attribution Breaks Without Cross-Device Tracking

Jun 3, 20269mEp. 29S1

In Episode 29 of The Marketing Operator Podcast, Lucas and Luna tackle a problem that quietly undermines most attribution models: cross-device identification. When the same user browses a product on mobile, clicks an ad

Why Your Marketing Data Lakes Are Failing Due to Schema Drift

Jun 3, 20266mEp. 28S1

In this episode, Lucas and Luna tackle a problem that quietly destroys marketing data initiatives: schema drift. As data sources like social media APIs, CRM exports, and event tracking tools evolve without warning, your

The Hidden Cost of Your Marketing A-B Testing Platform

Jun 2, 20267mEp. 27S1

Episode 27 of The Marketing Operator Podcast with Fexingo digs into a surprising source of marketing waste: the A/B testing tools you already pay for. Lucas and Luna explore how testing platforms like Optimizely and Goog

Why Your Marketing Automation Funnels Are Overloading Leads

Jun 2, 20266mEp. 26S1

Lucas and Luna dig into a specific problem plaguing marketing operations teams in mid-2026: automation funnels that trigger too many touches too fast, overwhelming warm leads into silence. The episode centers on a real e

Why Your Marketing Attribution Is Overcounting Google Ads

Jun 1, 20266mEp. 25S1

Lucas and Luna dig into a specific problem plaguing modern marketing measurement: last-click attribution models that inflate Google Ads performance by 30 to 50 percent. They walk through a real-world example from a mid-m

Why Your Marketing Attribution Is Ignoring Dark Social

Jun 1, 20265mEp. 24S1

Lucas and Luna tackle the blind spot in most marketing attribution models: dark social — the traffic that comes from messaging apps, email forwards, and direct links that strip referrer data. They unpack a 2025 RadiumOne

Why Your Email Subject Lines Are Giving Away Your Intent

May 31, 20268mEp. 23S1

Lucas and Luna dig into a 2026 study of 50 million marketing emails across B2B and B2C verticals. They reveal how subject lines packed with urgency triggers like 'limited time' or 'exclusive' actually depress open rates

Why Your Marketing Attribution Models Are Overcounting Social Referrals

May 31, 20269mEp. 22S1

Episode 22 of The Marketing Operator Podcast digs into a hidden bias in marketing attribution: social-media platforms are quietly over-counting their own credit. Lucas and Luna examine how the so-called 'last-click probl

The Hidden Costs of Marketing Personalization at Scale

May 30, 202611mEp. 21S1

As marketers rush to deliver one-to-one personalization at scale, a hidden cost structure is quietly inflating budgets. Every personalized email, dynamic web experience, and customized ad creative comes with a series of

Why Your Marketing Campaigns Leak Data Through APIs

May 30, 20269mEp. 20S1

Episode 20 of The Marketing Operator Podcast digs into a quiet but expensive problem in modern marketing operations: API data leakage. Lucas and Luna examine how everyday marketing automation workflows—syncing customer p

Why Your Marketing AI Agents Are Creating Hidden Data Leaks

May 29, 202610mEp. 19S1

Lucas and Luna dig into a specific blind spot in modern marketing operations: the data exhaust your AI agents generate. They break down a real case from a mid-market SaaS company that discovered its autonomous ad-optimiz

Why Your Marketing Data Lake Is Becoming a Data Swamp

May 29, 20267mEp. 18S1

Lucas and Luna investigate the hidden costs and maintenance traps of marketing data lakes. They discuss how many teams pile raw data into a central repository without proper governance, leading to what's known as a 'data

Why Your Marketing Data Integration Is Killing Your Speed to Lead

May 28, 202610mEp. 17S1

Lucas and Luna break down the hidden cost of custom data integrations in marketing tech stacks. Using the real-world example of a mid-market SaaS company that spent $120,000 annually maintaining a single Salesforce-to-Hu

Why Your Marketing Workflows Are Running Unseen Bottlenecks

May 28, 20267mEp. 16S1

Lucas and Luna dive into a hidden drain on marketing operations: the invisible bottlenecks lurking in automated workflows. Using a real marketing team as a case study, they unpack how a 30-step lead-nurture sequence adde

Why You Should Delete Half Your Marketing Tags

May 27, 20267mEp. 15S1

Lucas and Luna tackle the hidden performance tax that marketing tags impose on your website. Too many tags — from analytics pixels, retargeting scripts, heatmap trackers, and ad verification pixels — slow page loads, deg

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Audience demographics

Age
25-54
Consumer type
General audience

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Who is the host of The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations?

The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations is hosted by Unknown Host. The show is categorised under General and has published 5 episodes.

How many episodes does The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations have?

The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations has published 5 episodes.

Is it hard to get booked on The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations?

The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations is accessible for guests with genuine general expertise. A personalised, episode-aware pitch will still outperform a generic one every time.

Is The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations currently accepting guest pitches?

The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations hasn't explicitly signalled guest openness in recent episodes. That doesn't rule out pitching. your hook just needs to be especially compelling and relevant to their recent content.

How long are The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations episodes?

Episodes of The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations average 9 minutes. a focused format where a clear narrative arc and tight preparation matter most.

What guest credentials does The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations typically look for?

Our data rates The Marketing Operator Podcast with Fexingo: MarTech, Automation, and Marketing Operations's guest bar at 80/100 (Premium tier). Established thought leaders with verified media credentials. Sign in to PitchCentric to see how your own Pod Score compares against this show.

Methodology. Booking Probability™ blends Listen Score, 30-day Virality, open-to-guests detection, and Apple ratings. Data refreshed every 60 minutes. Listen Score and Booking Probability are calculated by PitchCentric. Last enriched 11 days ago.

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