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#3327Talk'n Shopify with Zyber - eCommerce60.0 / 100Get badge
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Talk'n Shopify with Zyber - eCommerce

Hosted by Zyber Digital

New Zealand's leading Shopify Plus and eCommerce agency Zyber Digital discuss all things eCommerce and succeeding online. Weekly guest speakers from global brands and industry insiders.

111 episodes · publishes weekly · latest 2025-01-15 · ~33 min/episode

Rank

#3327

Substance

60.0

/ 100

Breakdown

Scored 2026-07
Updated monthly

SaaS rank

#108 of 172

Best B2B SaaS Podcasts →

Across the index

#3327 of 6181

Substance

Top 54%

outscores 46% of the index

Why it scores where it does

Talk'n Shopify with Zyber - eCommerce ranks #3327 on The B2B Podcast Index with a substance score of 60.0 out of 100, scored across 1 recent episode. It scores highest on insight density and specificity & evidence. The episode surfaces a handful of genuine tactical ideas - Meshki's inverted loyalty discount structure, preferred channel tagging as a BAU default, and transactional SMS as a warmup tactic - but large blocks of airtime are consumed by geographic small talk at the top, mutual affirmation loops, and personal anecdotes that crowd out substantive content. Insight-per-minute density is modest for a 58-minute runtime.

The five-dimension breakdown

Averaged across 1 recently scored episode, with cited evidence.

Insight Density

13.0 / 20

The episode surfaces a handful of genuine tactical ideas - Meshki's inverted loyalty discount structure, preferred channel tagging as a BAU default, and transactional SMS as a warmup tactic - but large blocks of airtime are consumed by geographic small talk at the top, mutual affirmation loops, and personal anecdotes that crowd out substantive content. Insight-per-minute density is modest for a 58-minute runtime.

“early access was actually a deeper offer for us. So we had 25% off, um, site wide basically. And then when we switched to general access and launch our sale, that was 20%”

“I love preferred channel tagging. It's one of the first flows I set up when I started at Meshki”

Originality

11.0 / 20

The Meshki strategy of giving loyalty members a deeper discount than the general public during BFCM - and communicating that transparently - is a genuinely counterintuitive and well-executed idea. Everything else (segment your list, don't send the same copy across channels, personalize at scale) is standard email-marketing orthodoxy that circulates widely in this space.

“early access was actually a deeper offer for us. So we had 25% off, um, site wide basically. And then when we switched to general access and launch our sale, that was 20%”

“just think of your ideal, like the, the best experience you've had in a retail store and, and, and execute that online”

Guest Caliber

12.0 / 20

Liz brings credible hands-on CRM execution experience from a sizeable DTC brand and speaks from genuine day-to-day practice; Jeremy contributes vendor-side context as a Klaviyo partner manager but his role is fundamentally partnerships/customer-success rather than merchant operations, which caps the practitioner depth available to listeners.

“I'm the CRM specialist here at Meshki”

“My official title is Senior Partner manager. Um, and basically I look after the relationship between Klaviyo and the agencies”

Specificity & Evidence

13.0 / 20

A few concrete anchors appear - Klaviyo's reported ~$3B in BFCM revenue, Meshki's explicit 25%/20% discount split, and an unnamed merchant's 15x SMS-vs-email click rate - but the majority of examples are either unnamed ('a brand,' 'a merchant') or asserted without sourcing (the 20-touchpoints figure), leaving significant vagueness across the episode.

“somewhere around about $3 billion worth of revenue sort of mark generated within Klaviyo”

“we were about 15x what we get on email. Um, and that was their first ever campaign”

Conversational Craft

11.0 / 20

The host moves the conversation across relevant topic areas but defaults almost exclusively to affirmation rather than follow-up probing; no claim is challenged, no tension is introduced, and the host's repeated personal anecdotes (goldfish, petrol station, Dyson vacuum) redirect meaningful airtime away from the guests' more substantive experience.

“Yeah, I love that.”

“I feel like I could go for another three hours. This has been super interesting”

Standout episodes

  • Maximising Customer Retention Post-BFCM

    2025-01-15

    60

Rank over time

First period on the Index - history builds from here.

Episodes

1 scored on substance · 60 tracked in total.

  • Maximising Customer Retention Post-BFCM

    2025-01-15 · 58 min

    60 / 100

Frequently asked

What is Talk'n Shopify with Zyber - eCommerce's substance score?
Talk'n Shopify with Zyber - eCommerce scores 60.0 out of 100 for substance and ranks #3327 on The B2B Podcast Index. That puts it ahead of 46% of the B2B podcasts we rank and #108 of 172 in SaaS. The score reflects insight density, originality, guest caliber, specificity and conversational craft across recent episodes - not downloads.
Is Talk'n Shopify with Zyber - eCommerce worth listening to?
Talk'n Shopify with Zyber - eCommerce is ranked on The B2B Podcast Index with a substance score of 60.0/100. See the five-dimension breakdown above to judge whether it fits what you're after.
Who hosts Talk'n Shopify with Zyber - eCommerce?
Talk'n Shopify with Zyber - eCommerce is hosted by Zyber Digital.
How often does Talk'n Shopify with Zyber - eCommerce publish?
Talk'n Shopify with Zyber - eCommerce publishes weekly, has 111 episodes, released its most recent episode on 2025-01-15.
Which Talk'n Shopify with Zyber - eCommerce episode should I start with?
Our highest-scoring recent episode is "Maximising Customer Retention Post-BFCM" (60/100) - a good place to start.

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Guests who've appeared

Liz (CRM Specialist, Meshki)Jeremy Singh (Senior Partner Manager, Klaviyo)

Topics this show covers

The themes that come up most across this show's episodes.

Shopify PlusCRM (Customer Relationship Management)Klaviyo segmentation and AI toolsBlack Friday Cyber Monday (BFCM) strategyEmail marketing personalizationRevenue-per-recipient metricRFM (Recency, Frequency, Monetary) customer modelingEarly-access loyalty programsCustomer retention post-saleMachine learning product affinity analysis

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