# Soufya Gana

Soufya Gana shares practical advice on prioritising digital product work, keeping backlogs focused, and using e-commerce data to understand performance and make better decisions.

- Profile: https://b2binfluencer.marketing/creators/soufya-gana/
- LinkedIn: https://www.linkedin.com/in/soufya-gana
- LinkedIn followers: 430
- Topics: artificial-intelligence, ecommerce, seo, product-management, ai-search-visibility
- Based on 11 dated posts, latest 2026-09-05

## Summary

Practical French-language advice on prioritising digital product work and diagnosing e-commerce performance beyond revenue.

- Best for: French-speaking B2B e-commerce or digital-product teams with crowded projects and unclear metrics.
- Not for: Consumer brand paid post series seeking large English-language reach and per-post conversion lift.
- Check first: Ask for recent post-level results on comparable topics, depth, formats, and audience survey job roles.

### Takeaways

- For crowded projects, clarify goals, choose indicators, prioritise by value, defer some work.
- A focused backlog should be limited, prioritised and understandable, not an exhaustive idea store.
- Revenue is a result, not an explanation; conversion, cart abandonment, traffic quality help diagnose.

## Main ideas

- **Choose priorities instead of adding more work**: Gana argues that teams often have enough ideas and resources; the challenge is deciding where to focus. When too many subjects get underway at once, effort spreads and the impact becomes harder to see. The proposed response: clarify business objectives, choose the indicators that matter, rank work by value and decide what not to do now.
- **A backlog should support decisions, not store every idea**: Gana says a backlog is not meant to be exhaustive. When it becomes an endless list or a place for “just in case” ideas, it makes decisions harder. A useful backlog should be limited, prioritised and understandable.
- **Revenue shows what happened, not why**: For e-commerce, Gana treats revenue as an outcome to investigate, not a sufficient explanation. A flat or falling figure may reflect lower conversion, more abandoned carts, less qualified traffic or a smaller average basket. Data is useful when it helps explain the result and guide a decision, not just fill a dashboard.
- **Search visibility should include being recommended**: Gana argues that search strategy is changing as people ask AI assistants for product and platform recommendations. Conventional search is not disappearing; brands should also create useful content that answers real questions and can be trusted as a recommendation.

## Work to read

- [From a pile of ideas to three prioritisation steps](https://www.linkedin.com/posts/soufya-gana_productowner-gestiondeprojet-ecommerce-activity-7454778970882928640-tLHJ)
- [A backlog should help you decide, not store ideas](https://www.linkedin.com/posts/soufya-gana_productowner-backlog-agile-activity-7458036704629862400-NIYO)
- [Revenue is a result, not an explanation](https://www.linkedin.com/posts/soufya-gana_ecommerce-data-digital-activity-7468336367882743810-REdI)
- [Being found is no longer enough — being recommended is the goal](https://www.linkedin.com/posts/soufya-gana_seo-geo-ia-activity-7467193036352151553-9wMe)
- [The real constraint is focus, not time or resources](https://www.linkedin.com/posts/soufya-gana_productowner-focus-productmanagement-activity-7459995810823528448-_8RG)

## Partnerships

Soufya Gana’s reviewed LinkedIn posts share practical advice on prioritising digital product work, understanding e-commerce performance through data, and adapting search visibility for AI recommendations. They mention working on e-commerce and digital-product topics, but the posts don’t describe a media kit, campaign offer, or partnership terms. Ask for available formats and terms.

## Alternatives

- Cédric Bidet: Choose Bidet when a crowded idea list is stalled by repetitive work rather than unclear priorities. Their posts focus on removing the manual tasks that eat into the time teams could spend ordering that list. They describe lightweight agents embedded in existing tools and processes: an email digest that files attachments, meeting notes with a personalised to-do list, and an e-commerce export automatically consolidated with the CRM and sales targets. Bidet positions itself against jargon and hype, arguing that an agent must account for an organisation's processes, confidentiality constraints and existing systems. The published starting price is €150 per month with no commitment. If scoping reveals that hours lost to copy-paste and spreadsheet juggling are the real cost, Bidet's examples are more concrete about what gets built than Gana's.
- Emmanuelle Benoliel: Choose Benoliel when the problem sits one level above the product team: the company is producing content and activity but cannot turn them into qualified pipeline. Their posts describe that shift. One recounts running a first account-based campaign at an AI-native company, generating landing pages, ad copy and per-account creative from a shared knowledge base and handing them to the technical team through an automated task. This cut asset production to hours, freeing time for messaging and sales feedback. The other describes building a system at UnlockM that captures interactions, enriches profiles with real data, connects them to the CRM and events, scores fit with the ideal customer profile, and produces activatable leads—moving, in their framing, from three hundred likes to fifteen people to contact this week. For a B2B team whose diagnosis shows that acquisition activity cannot be traced to pipeline, this is the more directly useful angle.
- Pierre Duvergé: Choose Duvergé when the diagnostic needs to cover commercial mechanics end to end, including acquisition cost, rather than stop at the product backlog and dashboard. One post sets out a five-step marketing audit: map what customers actually think and the real promise; trace routes to market across site, CRM, LinkedIn and outbound; compare what people say with what analytics and session recordings show they do; find revenue leaks such as dormant deals and missed follow-ups; then deliver a cleaned CRM, clarified message and ready outbound sequences, with the goal of regaining control of growth within ninety days. The second post gives acquisition-cost figures that can prompt an audit: B2B acquisition costs rose 40 to 60 percent between 2023 and 2025; LinkedIn Ads cost per lead ranges from €900 to €1,850 in services; cold outbound costs around €1,820; referral costs about €140. It warns that a company's real CAC and LTV/CAC ratio are probably worse than its planning assumptions and points readers to a spreadsheet kit for calculating CAC. If revenue is flat because acquisition economics have quietly turned negative, this is closer to the decision than the backlog material.

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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/