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.
They also explore how useful content may earn recommendations in AI-powered search, as well as visibility in traditional search.
Gana connects product focus to concrete decisions.
For a crowded project, they propose clarifying business goals, choosing relevant indicators, prioritising by value, and deciding what to defer.
They argue that a focused backlog should be limited, prioritised, and understandable—not an exhaustive store of ideas.
In e-commerce, revenue is a result rather than an explanation: conversion, cart abandonment, traffic quality, and average basket size can help identify what is driving performance.
These posts offer practical prompts for teams moving from a long task list or a headline metric to a clearer next decision.
The SEO and GEO post extends that focus to content: answer real user questions and provide value, rather than pursuing traffic alone.
Soufya Gana’s recurring idea is that good digital product work depends on choosing what matters, not adding more work.
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They apply that principle to team focus, backlog decisions and e-commerce metrics: make priorities explicit, then use data to understand what to do next. A separate post extends the focus on usefulness to search, arguing that brands need to be worth recommending by AI assistants as well as easy to find.
Choose priorities instead of adding more work
Gana argues that teams often have enough ideas and resources; the challenge is deciding where to focus.
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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.
In a post about digital projects with too many ideas and no clear starting point, Gana sets out three steps and makes deferring work an explicit final step.
The same focus argument takes two forms: one post offers a prioritisation sequence; another challenges the assumption that more time will solve the problem.
A backlog should support decisions, not store every idea
Gana says a backlog is not meant to be exhaustive.
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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.
Gana contrasts an overgrown backlog with a decision tool, describing the product owner’s role as turning the list into something the team can use to choose.
For e-commerce, Gana treats revenue as an outcome to investigate, not a sufficient explanation.
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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.
The post moves from asking how much a store sells to asking why the result changed, then names four indicators to examine.
Search visibility should include being recommended
Gana argues that search strategy is changing as people ask AI assistants for product and platform recommendations.
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Conventional search is not disappearing; brands should also create useful content that answers real questions and can be trusted as a recommendation.
The post contrasts the older goal of ranking first on Google with the questions people now put to ChatGPT, Gemini or Perplexity, and concludes that being found may not be enough.
This is the clearest statement of their diagnostic for a stuck digital project and the order in which they apply it.
The post opens with a line they say they hear often on digital projects: plenty of ideas, no idea where to start.
They reject the usual explanations — a lack of ideas or motivation — and identify the cause as a lack of prioritisation.
When everything looks important, too many subjects launch at once, teams spread thin and impact becomes unclear.
Their fix is a short routine: clarify the business objectives, identify the right indicators, then prioritise by real value.
The final step is deciding what not to do now.
Their closing claim: a good product comes from deliberate decisions, not an accumulation of ideas.
For brands planning a campaign
This is a ready-made agenda for a short diagnostic workshop: objectives, indicators, value ranking and an explicit stop-doing list. The stop-doing step is often skipped, so protect time for it in the session design.
It answers the practical question of what a product owner is for, using the backlog as the test.
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Useful when deciding whether their day-to-day judgement matches how your team works.
Gana argues that a backlog should be useful, not exhaustive.
In practice, many become an infinite list, a storage dump for ideas or a permanent just-in-case pile.
The longer the backlog gets, the less it helps anyone decide.
They propose three properties: limited, prioritised and understandable.
Without them, the backlog slows work down instead of supporting it.
In this account, the product owner turns a list into a decision tool.
For brands planning a campaign
A concrete audit question for a client engagement: how long is the backlog, who can read it, and which items have been consciously deferred? It offers a low-friction way to open a backlog review without turning it into a tooling debate.
It shows how Gana reads e-commerce numbers and why they distrust the headline metric.
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A strong entry point for anyone looking to turn dashboards into decisions.
Revenue matters in e-commerce, the post argues, but it is not always the most useful first KPI.
A falling or flat revenue line is usually the consequence of something else: lower conversion, more abandoned carts, less qualified traffic or a smaller average basket.
The useful question shifts from how much are we selling to why is this the result.
Data earns its place when it supports better decisions rather than filling dashboards.
The summary is blunt: revenue is a result, not an explanation.
For brands planning a campaign
For a diagnostics brief, this supports working upstream from revenue to conversion, cart abandonment, traffic quality and basket size, rather than reviewing revenue alone. It also gives a defensible reason to keep a dashboard small and tied to decisions.
It shows where they stand on AI search, a question that now affects almost any content or e-commerce brief.
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Read it to assess whether their view is current and how it might shape what you commission.
Gana asks whether SEO is becoming GEO, contrasting the old aim of ranking first on Google with the growing habit of asking ChatGPT, Gemini or Perplexity directly which tool, platform or strategy to choose.
Search engines do not disappear; the terrain changes.
Content has to be useful, answer real user questions and offer value before chasing traffic.
Brands also have to become reliable enough for AI to recommend.
The closing line: tomorrow, being found will not be enough — you will have to be recommended.
For brands planning a campaign
A practical content brief: answer real user questions first and treat recommendability as a separate goal from ranking. Ask the client what share of their category questions are now answered without a click.
Short and pointed, the post reframes a common complaint in digital teams.
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Read it to see whether Gana’s argument matches your experience.
The post challenges the belief that teams would do better with more time or resources, arguing that the problem is a lack of focus.
More time, in this account, leads to more dispersion.
Without clear prioritisation, teams multiply subjects, dilute impact and exhaust people.
The answer is not doing more but doing less, better — the point, they say, where things change.
For brands planning a campaign
Useful language for a kickoff when a client asks for additional scope: adding capacity without narrowing the list repeats the same failure. It supports proposing fewer, better-supported workstreams instead of a larger plan.
Short-form teaching in French, built around one argument5
Prioritisation over accumulation2
A backlog as a decision tool, not a storage list1
Diagnosing e-commerce performance beyond revenue1
Search visibility in the AI-answer era1
Prioritisation over accumulation
Across several posts, Gana argues that the main obstacle for digital teams is not a shortage of ideas or resources but weak prioritisation.
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One post opens with the situation "we have lots of ideas... but we don't know where to start," then traces it to teams launching too many topics, dispersing effort, and losing sight of impact.
Another says more time without clear priorities simply produces more dispersion, diluted impact, and tired teams, and that the real lever is doing less but better.
Their recurring argument is that a good product comes from decisions a team stands behind, not from stacking up more ideas.
Gana describes a three-step approach: clarify the business objectives, identify the right indicators, then prioritise by real value. The final step is to decide explicitly what will not be done now.
For brands planning a campaign
For a brief focused on product prioritisation, this is direct evidence that Gana works on the exact problem the company has named: an overloaded set of candidate projects and no agreed order. A short diagnostic workshop can use this framing to make the team name its objectives, choose the indicators that matter, and cut the active list down.
Gana treats a backlog as something that should be limited, prioritised, and understandable, not exhaustive.
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The post contrasts a useful backlog with what many become: an endless list, a place to stockpile ideas, a permanent "just in case" pile. The argument is that the longer a backlog gets, the less it helps anyone decide, and that the product owner's contribution is to turn a list into a decision tool.
For brands planning a campaign
Backlog length and decision quality are usually the first visible symptoms in a product team that feels stuck. This gives the workshop a practitioner-level starting point: audit the current backlog against Gana's three criteria and agree what gets removed or deferred before adding new work.
In a post on e-commerce metrics, Gana argues revenue is important but not always the first indicator to inspect, because falling or flat revenue is usually the result of something else: lower conversion, more abandoned carts, less qualified traffic, or a smaller average basket.
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The better question is not only "how much are we selling?" but "why is this the result?"
In this framing, data earns its place when it leads to better decisions rather than filling dashboards.
The summary line is blunt: revenue is a result, not an explanation.
Start from the business result, then check the contributing metrics in sequence: conversion, cart abandonment, traffic quality, average basket. Use the analysis to support a decision rather than produce a report.
For brands planning a campaign
For a brief about a data-driven KPI approach, this maps directly to a diagnostic session on the conversion chain and metric hierarchy, rather than a revenue review that stops at the headline number. It also shows Gana's habit of working backwards from a business result to the operational metric that moved.
Gana frames the shift from SEO to GEO: the old goal was ranking first on Google, while people now ask ChatGPT, Gemini, or Perplexity directly for recommendations.
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For e-commerce brands, the argument is that visibility increasingly depends on being a source reliable enough for an AI system to recommend, which means producing useful content, answering real user questions, and providing value before chasing traffic. The closing position is that being found will no longer be enough; being recommended is the new target.
This is a single conceptual post, alongside Gana's product and analytics material. Ask for examples from an SEO or GEO engagement if reported results are important to the brief.
For brands planning a campaign
Useful if a brand needs content or discoverability, and a conversation opener about how product and content teams should prioritise work when search behaviour changes. Ask for campaign data or a measured case before treating the argument as a proven method.
Short-form teaching in French, built around one argument
The reviewed output consists of short LinkedIn posts written in French, each organised around a single argument with structured lists and a closing question to readers.
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Gana teaches through contrasts, as in "revenue is a result, not an explanation," and occasionally presents a numbered method. One post ends with a direct commercial line: they work on these subjects in e-commerce and digital products, and invite readers in that situation to get in touch.
All five posts are short-form. No long-form writing, video, or event material appears in the posts here.
For brands planning a campaign
The format fits a compact diagnostic workshop or educational collaboration delivered in French, where the value is a clear framework and a decision rather than a long written report. The posts offer short-form teaching; ask about speaking experience if that is part of the brief.
The five reviewed LinkedIn posts document no brand relationship for Soufya Gana: no sponsorship, client engagement, disclosed partnership, employment or affiliate arrangement is named.
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They are standalone advice pieces on product ownership, backlog prioritisation, focus, e-commerce metrics and SEO/GEO.
The only commercial signal is their self-description as a freelancer working on e-commerce and digital product topics.
The only companies named are the AI assistants ChatGPT, Gemini and Perplexity, cited as places where users ask questions to illustrate a shift in search behaviour—not as working relationships.
No employer, client, partner or owned business is identified; ask for confirmation before listing any business or employment.
Soufya Gana publishes short French-language posts about keeping digital product work focused.
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Start with the two prioritisation posts: one sets out a three-step sequence for teams with plenty of ideas and no agreed starting point; the other argues that more time without clear priorities only spreads effort further.
The backlog post offers a counterpart, explaining what a useful backlog looks like and why a long one stops helping anyone decide.
An e-commerce metrics post applies the same logic to numbers, treating revenue as an outcome and working back to conversion, abandoned carts, traffic quality or basket size.
A separate post looks at search through AI assistants, where being recommended matters as much as being found.
Each post makes one argument, uses lists and contrasts, and closes with a question to readers.
Following the account offers compact decision frameworks rather than long research pieces.
Both treat marketing and product performance as something to diagnose, not a mystery, and push readers past the headline figure.
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Duvergé opens an audit by asking a business how it believes it attracts clients and warns that a site or CRM may be quietly failing; Gana asks why revenue moved, rather than how large it is. Both write in French, in short posts with numbered steps and a direct commercial close.
Duvergé works at the acquisition and cost level for B2B SMEs, citing channel CPCs, cost per lead, CAC/LTV ratios, outbound sequences and a 90-day repair plan.
Gana works one level down the funnel, on product decisions and e-commerce conversion indicators.
Buyers looking for acquisition-cost analysis or an audit offer should ask whether those are available.
Both write in French about applying technology to the everyday mechanics of small and mid-sized businesses, rather than to novelty.
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Bidet argues for lighter, less jargon-heavy AI agents that remove repetitive work; Gana argues for fewer, better-chosen priorities that reduce dispersed effort. Both reach the same conclusion by subtraction.
Bidet builds and sells AI agents, and his posts describe Firmin.ai, email summarising, meeting notes and automatic e-commerce extraction, centring on implementation, tooling and pricing. Gana stays on the decision layer: what to prioritise, what a backlog is for, and which metric explains a result.
Both use concrete before-and-after examples from their own practice to show how AI changes the way digital and marketing teams work.
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Benoliel writes about running an ABM campaign on an AI-native stack; Gana writes about choosing priorities and reading performance metrics.
Benoliel focuses on marketing operations and go-to-market systems at a large AI company, covering ABM campaign production, tooling choices and the emergence of GTM engineer roles.
Gana focuses on product ownership and e-commerce performance for smaller digital teams.
Buyers looking for campaign systems or role design should ask whether Gana covers those areas.
Use Soufya Gana for a French-language B2B e-commerce and digital-product audience test, not as proven access to senior decision-makers.
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Their posts address product owners, e-commerce teams, and digital leads, with recurring themes including backlog focus, prioritisation, KPI diagnosis, conversion, and SEO/GEO.
A LinkedIn profile snapshot recorded 430 followers as of October 9, 2026; treat that as a scale signal, not proof of audience composition.
Before committing, ask for recent post-level results on comparable topics, depth, and formats, plus audience survey data on job roles and seniority.
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.
A French-speaking B2B e-commerce or digital-product company has too many candidate projects and no agreed order, and its dashboard reports revenue without explaining it.
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It wants a short diagnostic workshop on backlog focus and conversion metrics.
This is a strong subject match.
The company's problem — an overloaded set of ideas and no starting point — is exactly what Soufya Gana's posts address.
They set out a working order: clarify business objectives, identify the right indicators, rank work by real value, then decide explicitly what not to do now.
A second post applies the same thinking to the backlog, arguing it should be limited, prioritised and understandable rather than exhaustive, and that the product owner's role is to turn a list into a decision tool.
A third tackles metrics directly, tracing a falling or flat revenue line back to conversion, cart abandonment, traffic quality and average basket, and arguing that revenue is a result rather than an explanation.
For a company that wants to move beyond reviewing the headline number and diagnose the chain behind it, this is usable practitioner material, not generic opinion.
The format fits too.
The posts are short, single-argument lessons in French, with numbered steps and closing questions — a better fit for a workshop or short teaching session than a long research report.
Gana also says in one post that they work on these subjects in e-commerce and digital products and invites readers in that situation to make contact.
This is the only commercial signal in the posts.
Before committing, ask for two or three past engagements on comparable topics, the format delivered and what changed for the client afterwards.
There are five short posts, but no client case, reported engagement result or long-form or video work to show how a live workshop has landed.
When to choose a specialist
A European consumer brand — for example, a direct-to-consumer skincare or home-goods label — wants an English-language paid post series reaching a large consumer audience, with reach and conversion lift measured per post.
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This is a poor match on audience scale, subject and commercial format.
The only measured audience figure is a LinkedIn profile snapshot recording 430 followers as of 9 October 2026.
The posts report no engagement, reach, click, demographic, employer, occupation or seniority data, so there is nothing to size a reach-based campaign against.
They are written in French for product owners, e-commerce teams and digital leads; their subjects are backlog focus, prioritisation, KPI diagnosis and search visibility in AI answers.
They contain no consumer-lifestyle, beauty or product-review material, so a consumer brand would be buying an audience and a topic the posts do not show.
The posts mention no sponsorship, partnership or advertising offer, media kit or rate card, so they provide no basis for quoting a package.
This does not establish that Gana never works with brands or would refuse.
If the consumer brand is still interested, ask directly whether brand work is offered, what formats are available and what post-level results Gana can share from comparable campaigns; do not build a proposal on assumed reach.
A worked campaign example
A worked angle for a company that needs a diagnostic workshop on backlog focus and conversion metrics, before any contract is signed.
Step one: test topic delivery, not scale.
Ask Gana for recent post-level results on backlog, prioritisation or e-commerce KPI topics — impressions, comments, profile visits and any inbound enquiries those posts produced.
Ask which format worked and which did not.
The five posts show the arguments, not their reception.
If Gana cannot share results, treat the engagement as an untested pilot and price it accordingly.
Step two: commission a single paid French-language diagnostic session rather than an ongoing programme.
Make it a 60- to 90-minute remote working session for the product and e-commerce leads, focused on the company's stated problem: too many ideas, no agreed order and a revenue dashboard that does not explain itself.
Ask for a short written summary afterwards so the decisions survive the meeting.
Step three: build the agenda around Gana's published method to show why this person, rather than a generalist, is the right choice.
First, state the business objectives in plain language.
Second, choose the indicators that matter, tracing revenue back to conversion, cart abandonment, traffic quality and average basket.
Third, rank active work by real value — and finish with the step teams skip: listing what will not be done now.
Before the session, the client sends its current backlog and main e-commerce dashboard.
In the session, audit the backlog against Gana's three tests: is it limited, prioritised and understandable, and could someone outside the team use it to make a decision?
Step four: define the deliverable and exit before work starts.
Agree on a prioritised shortlist, a small metric hierarchy tied to decisions rather than a fuller dashboard, and a written stop-doing list.
Schedule one review call four to six weeks later to see whether the shortlist held.
Set the cancellation point after the first session, so the client buys one tested piece of work before any retainer.
Leave out paid amplification, a consumer campaign and an English-language content series: Gana's posts do not support those options, and the company does not need them.
Choose Bidet when a crowded idea list is stalled by repetitive work rather than unclear priorities.
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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.
Bidet's posts cover neither backlog governance, product-owner decision framing nor a metric hierarchy linking revenue to conversion—the three pillars of a workshop on those topics.
You give up the prioritisation method and shortlist format; in return, you get automation of specific operational tasks.
The posts also state no delivery format or session length.
Ask whether Bidet offers a short diagnostic workshop.
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.
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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.
This is system-building at marketing-team scale, not a short diagnostic session with product and e-commerce leads.
Neither post describes a stand-alone workshop, session format or price.
The work also assumes the company has the tooling, data and internal capacity to make it worthwhile to connect Clay, CRM and ad-engine workflows.
If the immediate need is a prioritised backlog and a small metric hierarchy within weeks, Benoliel offers a longer build for a different department.
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.
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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.
This is a growth and acquisition lens, with no product-owner practice: nothing on backlog discipline, prioritisation method or which project to start.
The offer is a broader engagement to help a company regain control of growth over a quarter, not a single 60- to 90-minute session.
Ask about the session format and fee.
The cost figures are the post's own framing, not independently verified; use them to prompt a calculation, not as benchmark data in a client proposal.
This profile is based on five LinkedIn posts attributed to Soufya Gana, read in full text: two on prioritisation and focus, one on what makes a backlog useful, one on e-commerce KPIs, and one on SEO in the age of AI answers.
All five are short-form and in French, and the posts here have no publication dates, so they are presented as a body of work rather than a sequence over time.
Three comparison accounts — Cédric Bidet, Emmanuelle Benoliel and Pierre Duvergé — have two posts each, dated between November 2025 and September 2026, to show how Gana's material differs from nearby practitioners.
The only audience figure available is a LinkedIn profile snapshot recording 430 followers on 9 October 2026.
The posts here include no engagement data, client case studies, longer-form work, or brand and sponsorship terms; where those gaps change a decision, the relevant section says so rather than filling them in.
