# Sachit Sharma

Sachit Sharma writes about DTC ecommerce marketing, including improving Meta ad performance through creative testing and using AI to help brands understand and convert customer demand.

- Profile: https://b2binfluencer.marketing/creators/sachit-sharma/
- LinkedIn: https://www.linkedin.com/in/sachit-sharma-deepsolv
- LinkedIn followers: 8,134
- Topics: artificial-intelligence, ecommerce, paid-ads, meta-ads, ai-adoption, agentic-commerce, dtc-ecommerce
- Based on 11 dated posts, latest 2026-09-10

## Summary

Sachit Sharma is useful for DTC ecommerce brands seeking Meta ad creative testing and AI commerce readiness.

- Best for: DTC ecommerce brands needing Meta ad performance and AI agent readiness campaigns.
- Not for: B2B cybersecurity vendors targeting enterprise IT and security decision-makers with technical explainers.
- Check first: Confirm paid partnership availability and audience demographics for relevant buyers.

### Takeaways

- A long-running Meta ad is a clue, not proof of profit.
- Meta performance depends on a steady creative-testing system, not just larger budget.
- Brands should prepare catalog, pricing, and post-purchase flows for AI shopping agents.

## Main ideas

- **An ad that lasts is a clue, not proof of profit**: Sharma argues that a long-running Meta ad may be performing well, but its age alone cannot show that it is profitable. It might be a retargeting ad, a testing control or simply one nobody has turned off. They recommend checking engagement, new creative, the match between ad and landing page, and whether it targets people likely to buy.
- **Meta performance depends on a steady creative-testing system**: Sharma frames unstable ad costs as a creative-testing problem, not just a media-buying problem. They recommend producing and scoring new concepts regularly, giving Meta useful signals about customer value, and spreading tests across smaller campaigns rather than relying on one hero campaign.
- **Mature DTC growth comes from operational discipline**: Sharma argues that DTC is no longer a new channel where growth comes simply from launching more products or spending more on ads. They emphasize a repeatable loop: learn from buyers, reuse effective creative, improve product pages and packaging, and retire weak performers.
- **Brands should prepare for shopping through AI assistants**: Sharma presents agent-led commerce as a shift in both discovery and checkout. They argue that products need to be understandable to AI assistants and purchasable within their flows; otherwise, a competing product may get the recommendation or sale.
- **AI adoption takes longer than the technology’s rise**: Sharma argues that rapid improvements in AI do not mean organizations know how to use it well. They describe companies experimenting without clear returns or adding AI as a layer instead of integrating it into a system. In their view, a period that looks chaotic can still be an early stage of adoption.

## Work to read

- [Meta didn't break ads—it exposed creative guesswork](https://www.linkedin.com/posts/sachit-sharma-deepsolv_meta-didnt-break-ads-it-just-exposed-activity-7392131196064890880-jgZU)
- [Google's Universal Commerce Protocol and agent-led commerce](https://www.linkedin.com/posts/sachit-sharma-deepsolv_ever-wished-you-could-just-say-%F0%9D%98%89%F0%9D%98%B6%F0%9D%98%BA-activity-7421862158805778432-B5fT)
- [Does a long-running Facebook ad mean it's profitable?](https://www.linkedin.com/posts/sachit-sharma-deepsolv_does-a-long-running-facebook-ad-automatically-activity-7413881978380517377-Y15u)
- [DTC isn't the new frontier—it's the new minimum](https://www.linkedin.com/posts/sachit-sharma-deepsolv_dtc-isnt-the-new-frontier-anymore-it-activity-7396117422711332864-dZMS)
- [AI adoption is in the installation phase](https://www.linkedin.com/posts/sachit-sharma-deepsolv_ai-adoption-looks-chaotic-right-now-not-activity-7408846728440754176-DSGN)

## Brand relationships

- **Deepsolv** (disclosed_partnership)

## Partnerships

The five posts do not describe a public sponsorship or paid-partnership offering. Sachit Sharma writes as a practitioner promoting a company's services, not as a creator publishing a media kit, rate card, or sponsored-placement policy. When they address brands, the ask is for a business conversation about the company's marketing tools, not a sponsorship slot: one post closes with "Let's connect if you want to make your brand AI Ready," and another asks brands to reach out about seeing "what that looks like for your brand." The posts specify no sponsorship formats, pricing, audience-deliverable specifications, disclosure practices, or submission deadlines. One commercial-format note: a post argues that long-running Meta ads can be kept live "intentionally... to throw off competitors," a competitor-research observation rather than a stated partnership practice. Anyone seeking a sponsored placement should ask directly what a paid engagement would include.

## Alternatives

- Farah Nyadu, ACA: Choose Farah Nyadu when the bottleneck is the volume and pace of Meta creative, or how aggressively to raise budgets once an ad is working. One post describes ecommerce brands clearing $500k a month on Meta by launching 40–60 new creative assets monthly, killing losers within 72 hours and scaling winners until they fatigue. It includes a worked example: an apparel brand on a six-week refresh cycle moved to weekly launches of 45–60 assets and grew from $80k to $340k a month at the same ROAS, with the same products and audience approach. A second post covers 31 ecommerce brands spending over $100k a month on Meta. It contrasts the slower group—budgets up 10–20% every three to four days, stuck in learning limited and taking 90 days to move from $50k to $100k—with the group at 4.5x ROAS or better, which doubled budgets when signal thresholds were hit and scaled from $50k to $150k in 18 days. If the brand suspects its creative refresh cadence and caution about scaling are the ceiling, this is a closer match than a diagnostic read of the ad account.
- Nathan Smith: Choose Nathan Smith when the brand’s problem is structural rather than tactical: running creative as a supply chain and deciding where durable advantage sits. One post sets out five shifts from accounts pulling away from the field: stop chasing a “winner,” because it is a snapshot of last week; measure inputs, such as how many new concepts entered testing, rather than ROAS per ad; forecast creative demand like inventory so the pipeline never runs dry; decouple production from last month’s performance data so cadence, rather than results, drives production planning; and accept a low hit rate on purpose, because eight of ten ads failing means the system is working. That is a direct answer for a brand seeking a repeatable creative pipeline rather than another round of optimization. The second post addresses defensibility in AI, arguing that a surface on someone else’s model is a feature waiting to be absorbed, while durable value sits in proprietary data, outcomes and learning that compounds as a product runs.
- Amir Faizan Malik: Choose Amir Faizan Malik when the constraint is the message and the page rather than the media buy. One post reports auditing 23 DTC landing pages in a month and finding 19 making the same mistake—writing to everyone—then works through generic-versus-specific headline pairs and cites a rewrite that took conversion from 2.1% to 8.4% on the same product and traffic source. A second post gives three client results: an email sequence for a tile installation course at 55.6% average open rate and 22 calls booked in four weeks; a coaching sales page at 9.7% conversion after a rewrite; and Meta ad creative for a men’s lifestyle brand at 53% hook rate, 4.33% hold rate and 3.87x ROAS. The shared pattern is research before writing, clear positioning, copy that sounds human and testing against metrics. If the brand’s hypothesis is that a generic offer and vague landing page, not creative volume, are suppressing Meta performance, this is the nearer fit.

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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/