# Akaash Joshi

Akaash Joshi shares practical marketing ideas for e-commerce brands, including how to improve landing-page conversion, average order value, and advertising creative. Joshi's posts also cover content marketing and SEO.

- Profile: https://b2binfluencer.marketing/creators/akaash-joshi/
- LinkedIn: https://www.linkedin.com/in/akaash-joshi-12b6b314a
- LinkedIn followers: 4,534
- Topics: ecommerce, paid-ads, content-marketing, seo, ecommerce-growth, conversion-rate-optimization
- Based on 12 dated posts, latest 2026-10-07

## Summary

Useful for educational e-commerce marketing content on average order value and landing-page conversion.

- Best for: DTC brands wanting educational, arithmetic-first posts on AOV and landing-page conversion.
- Not for: Campaigns needing verified audience demographics, guaranteed impressions, or standard sponsored-video packages.
- Check first: Confirm audience demographics, format, pricing, disclosure, and recent AOV or CRO results.

### Takeaways

- AOV post names product offering, bundling, pre-purchase and post-purchase upsells, price increases, and higher-ticket products.
- AIDA post links bounce rate to attention, scroll depth to interest, time on page to desire.
- Their AOV example from $20 to $25 is flagged as an arithmetic error.

## Main ideas

- **Treat average order value as a growth lever, not an afterthought**: Joshi argues that e-commerce brands can grow revenue by increasing how much each customer spends, rather than focusing only on attracting more orders or improving conversion. They list bundles, upsells, product choices, price increases and higher-priced offers for valuable customers as possible levers.
- **Use funnel metrics to make landing-page ideas testable**: Joshi applies the AIDA framework—attention, interest, desire, action—to landing-page and conversion-rate work, pairing each stage with metrics to inspect.
- **Make creative strategy central to paid-social growth**: Joshi describes creative strategy as one of the most important elements for a direct-to-consumer brand advertising on social platforms. The post promotes a conversation about scaling to more than $50,000 a day; buyers seeking specific tactics should ask what the conversation covers.
- **Organize content around search topics, not isolated posts**: In a post summarizing a HubSpot Academy masterclass by Justin Champion, Joshi connects content marketing strategy with SEO structures such as pillar pages, authority content and topic clusters. The focus is on organizing related material into a broader strategy. Other short posts point to content engagement and big data; buyers seeking Joshi’s specific methods on those subjects should ask for examples.

## Work to read

- [Average order value as the overlooked e-commerce metric](https://www.linkedin.com/posts/akaash-joshi-12b6b314a_average-order-value-aov-one-of-the-activity-7186166494844608513-351q)
- [Mapping AIDA to landing-page conversion metrics](https://www.linkedin.com/posts/akaash-joshi-12b6b314a_to-all-my-dtc-marketers-and-brands-weve-activity-7021871007330095104-iynM)
- [Creative strategy as a paid-social growth lever](https://www.linkedin.com/posts/akaash-joshi-12b6b314a_scalable-creative-strategy-beginner-to-50k-activity-7021503803560521731-Mcrw)
- [A content marketing strategy built on pillar pages and topic clusters](https://www.linkedin.com/posts/akaash-joshi-12b6b314a_how-do-you-create-a-content-marketing-strategy-activity-6491710695908876288-07p-)
- [A short pointer to making content marketing more engaging](https://www.linkedin.com/posts/akaash-joshi-12b6b314a_httpsappquuucornp-gnal-activity-6491983948762148864-DDNi)
- [Big data as a content marketing resource](https://www.linkedin.com/posts/akaash-joshi-12b6b314a_how-big-data-is-changing-content-marketing-activity-6492375997256597504-oQKU)

## Brand relationships

- **HubSpot** (mention)

## Partnerships

Akaash Joshi’s posts do not document sponsorship placements, paid partnership packages, sponsored-content rates or an official brand inquiry route. They do show a collaborative production habit: one post announces a recorded podcast episode with guest Anze Markovic on scaling DTC creative, credited with co-hosts Eric Philippou and Nicholas Poole. That shows Joshi appears in and promotes interview-format content, but the post presents it as editorial, not as a purchasable sponsorship slot. It gives no commercial terms, deliverables or booking process. Brands interested in a partnership should ask directly about format, pricing and disclosure; the posts establish no standard package.

## Alternatives

- Adam Kitchen: Choose Adam Kitchen when the priority is protecting repeat purchasing, not just lifting the first order. The posts show they audit cohort data, including 12-month customer value, first-month spend, repeat purchase rate, returning customers per new customer, and returning order AOV, using month-by-month tables. One audit describes a US outdoor brand whose customer value rose while repurchase rate fell from 10.2% to 8.9% and returning customers per new customer dropped from 0.85 to 0.71; the growth came from first-order AOV optimisation. A second post reports that, for two brands above $80M in revenue, first-purchase bundling hurt 180- and 365-day lifetime value versus buying items individually — the opposite of what the same post says happens in roughly 95% of cases. If a brand suspects its AOV gains are masking a shrinking repeat base, or wants its bundle and upsell assumptions tested against its own data rather than accepted as best practice, this is the closer match.
- Taylor Lagace: Choose Taylor Lagace when the priority is setting the paid-media spending target and financial plan that AOV work must fit. The two posts walk through an 11-step bottom-up forecast for named brands. It starts with business goals such as exit timeline, target revenue and profitability, then draws inputs from Shopify, Klaviyo and ad platforms: aMER target, first-time and returning AOV, customer file size, repeat rate, gross margin, cost of delivery, fixed costs and churn. The worked example shows a founder seeking $25M topline at 20% profit against a projected $28M at 12.4% profit. It then translates the business-level aMER target into channel prospecting targets, accounts for delayed attribution between the 7-day and 28-day windows, and runs every SKU to the same first-purchase contribution margin instead of relying on one blended ROAS. For a brand that wants to know what a $1 or $5 AOV lift is worth after delivery cost, margin and repeat behaviour are factored in, this provides a bridge from the P&L to the ad account.
- Tomass Berzins: Choose Tomass Berzins when the AOV problem is really about merchandising and store experience. One post describes an e-commerce client that is a bike retailer three minutes from their home and draws a direct comparison: a good physical-retail consultant hears what the customer needs, suggests what works together, and sends them out with more than they planned to buy. Online, that consultant disappears. The work aims to bring that advice experience online so the purchase feels less like browsing a catalog. The other post introduces a podcast about growth-side operational problems: more people to manage, more decisions, delegation, CRO and technology decisions, when more traffic or a redesign isn’t the answer, and where AI is useful. This is a fit when the barrier is how products are presented and recommended, alongside the operational load of growing, rather than an arithmetic gap on the AOV line.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/