Davide Rizzoli works in ecommerce, sharing practical advice on product launches, email marketing, Black Friday planning and profitability for online brands.
Useful for practical ecommerce advice on product launches, margins, Black Friday planning and email sequences.
Best for
A DTC ecommerce brand preparing a product launch and Black Friday campaign under margin pressure.
Not for
A paid creator collaboration aimed at broad audience reach or consumer campaign creative.
Key takeaways
Classify a launch as line extension, new line, or upsell/gift before production or media spend.
Contribution margin has three levels: CM1, CM2, CM3, each a percentage of revenue.
Black Friday is an extended, layered season; choose markets based on margin and timing.
Check first: Confirm what a collaboration would include, since posts give no media kit, rates, or deliverables.
Main ideas
Decide who a new product serves and where it sits in the catalog before planning the launch · Work out real contribution margin before agreeing to a discount · Treat Black Friday as an extended, layered season and choose which markets to fight in
Davide Rizzoli shares practical ecommerce advice for online brands, especially on product launches, margins, and seasonal selling.
The posts connect decisions often treated separately: whether a new product belongs in a brand’s catalog, what a discount does to contribution margin, and how to plan Black Friday offers across email and other channels.
Follow them for concrete ways to think through those decisions, not just lists of tactics.
Rizzoli’s distinctive contribution is to start with the business decision behind a tactic.
In the product-launch example, a fashion brand’s move into sportswear raises questions of audience and catalog fit before promotion or channels.
In the margin post, worked figures show how product, logistics, payment, and marketing costs affect discount decisions—and why contribution margin alone does not cover fixed operating costs.
Their Black Friday advice applies the same discipline to market choice and offer timing, while the email post lays out a practical sequence from early access through last call.
The Shopify–ChatGPT post explores possible changes to discovery and selling, but describes an announced integration without a launch date; read it as scenario analysis, not a description of an operating channel.
Davide Rizzoli writes about the decisions behind an ecommerce campaign: whether a new product belongs in the catalog, what a discount costs, when the Black Friday period starts and ends, how to use the email list and what conversational shopping could change.
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The through-line is to settle margin and customer fit first, then build channels and promotions around those constraints rather than copy competitors.
Decide who a new product serves and where it sits in the catalog before planning the launch
Davide Rizzoli argues that launches usually go wrong before questions of channels or creative come up.
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First, decide who the product is for and where it sits alongside everything else the brand sells.
They group launches into three common situations: a line extension (the same product with different variables, aimed at the same niche and at returning buyers), a new line (a similar product for a different segment or problem, which they call the hardest of the three), and upsell or gift items (low-priced additions that raise perceived value or average order value).
Products in a catalog have to work together: add something too far from the rest and existing customers stop recognising the brand, while new ones cannot work out who it is.
Production and promotion costs can then undermine a sales flow that was already working.
A fashion brand with an over-40 clientele added a sportswear line of leggings and push-up sets alongside its usual floral and exotic co-ords. Davide Rizzoli calls it the worst launch in their ecommerce experience, tracing the problem to positioning and audience fit rather than the competitive market or the brand's channels.
Work out real contribution margin before agreeing to a discount
Davide Rizzoli treats margin literacy as the guardrail for any promotion and says most brands outside their own work do not know their real margins.
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They split contribution margin into three levels: CM1 is revenue minus cost of goods sold, CM2 is CM1 minus logistics and payment fees, and CM3 is CM2 minus marketing.
Each level is expressed as a percentage of total revenue and used as a reference metric.
They recommend two views: a per-order version based on average order value, used to plan discount periods and choose affordable discounts, and an aggregated monthly or annual version to see whether margin covers fixed operating costs.
Do not treat the CM3 percentage as the maximum available discount: operational costs still have to be paid, and a CM3 of zero means running at a loss.
Starting with an average order value of €80, the post works through CM1 of €60, CM2 of €53.86 and CM3 of €28.20, then calculates break-even: with €15,000 of fixed costs, roughly 520 orders are needed to cover them.
Treat Black Friday as an extended, layered season and choose which markets to fight in
Davide Rizzoli reads the 2024 Black Friday and Cyber Monday results as a planning brief, not a scoreboard.
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Consumer spending and discount depth keep rising, while Cyber Monday reliably delivers more volume than Black Friday.
Run offers through to 1 December instead of stopping on Friday.
The suggested response is to choose where to compete based on margin — concentrate on the strongest markets if margins allow, and stay out if the offer is weak — and extend the period by layering offers across channels such as WhatsApp, email and community rather than discounting everything at one level.
The post cites over $70 billion spent in 24 hours, up 5% year on year, with Shopify up 24%; average discounts rising from 20–25% in 2023 to 25–30% in 2024 in the most competitive niches; and Meta's term "forgotten friday" for the Friday before Black Friday, described as a high-conversion, lower-competition window. Brands with thin margins are advised to avoid the toughest markets rather than be crushed in them.
Use the email list with early access, a dedicated segment and a staged calendar
Davide Rizzoli explains how to use a customer database during Black Friday without damaging it in a post written jointly with email and automation specialist Marco Cardone.
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The four fundamentals are early access to offers to get ahead of competitors; a dedicated Black Friday list with exclusive offers to create urgency and belonging; a calendar covering teasing, pre-launch, launch, reminder and last call; and integration with other channels so pixel data generated by email traffic helps ad delivery. Rizzoli's view is that the brand that stays most relevant to its users wins the period.
The staged calendar is the practical resource: teasing, pre-launch, launch, reminder and last call, with offers reserved for the dedicated segment rather than sent to everyone at the same depth.
Marco Cardone, the specialist handling automation and email across several of Davide Rizzoli's projects, is credited with the recommendations alongside Rizzoli.
Attribute the operational email advice to that collaboration.
Get product content and fulfilment ready for conversational shopping
Davide Rizzoli reports Shopify's announced ChatGPT integration and argues it could become a very large sales channel, with shoppers searching and buying through product cards showing images, prices, reviews and calls to action, much like a Google product feed.
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They draw out several operational implications: buyers arrive with much greater awareness of the problem and solution, so site content must answer specific questions with clear descriptions, explained benefits and addressed pain points; international shipping and order handling need to work at global scale; a new advertising surface will likely open; and easier price comparison could spark a war on offers that brands must manage without destroying margins.
The post is forward-looking, gives no launch date and notes Rizzoli's anxiety about how fast this is moving.
Treat it as a scenario to prepare for, not a working channel.
The comparison to a Google product feed makes the idea concrete: a shopper describes what they want, sees the best options in the conversation and buys there. Content must be written to provide the best possible answer to that request.
Rizzoli's argument on this topic is speculative rather than tested, unlike the practical, numbers-first approach of the other posts.
Answers the question: what kinds of product launch exist, and when does adding a product hurt an online store rather than grow it?
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It gives brands a positioning decision to make before choosing channels or discounts.
Davide Rizzoli describes a fashion brand with an over-40 clientele that added a sportswear line of leggings and push-up sets alongside its usual floral and exotic co-ords, calling it the worst launch in their ecommerce experience.
They argue the real problem starts before channels or creative: deciding who the new product serves and where it belongs in the catalog.
They outline three common launch situations — line extension (the same product with different variables), new line (a similar product aimed at a different segment or problem), and upsell or gifts (low-price items that raise perceived value or average order value).
Products too different from the catalog can make existing customers stop recognizing the brand and new customers struggle to understand it.
Production and communication spend can then disrupt a working sales flow instead of expanding reach.
For brands planning a campaign
For a launch brief, use the three scenarios to force a positioning choice.
If the product is a new line for a different segment, the campaign needs evidence of who that segment is and why the brand can serve it.
If the fit is unclear, a line extension or upsell may be a better campaign than a broad new-line push.
Answers the question: what counts as a real margin, and how can it guide promotion or discount decisions?
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Use it when planning a campaign focused on Black Friday profitability or setting discount depth.
Davide Rizzoli argues that many ecommerce brands do not know their real margins and presents contribution margin in three levels: CM1 as revenue minus cost of goods sold, CM2 as CM1 minus logistics and payment fees, and CM3 as CM2 minus marketing.
Each level needs a percentage of total revenue as a reference metric.
The post includes a worked example starting from an average order value of €80, with CM1 at €60, CM2 at €53.86, and CM3 at €28.20.
It warns against treating the CM3 percentage as the maximum discount a brand can afford, because operational costs still have to be paid.
It also shows an aggregate monthly or annual version and a break-even calculation: €15,000 of fixed costs divided by €28.20 per order means roughly 520 orders to break even.
For brands planning a campaign
Use this as a pre-campaign screen. Name which margin level the campaign must protect, calculate the order volume needed to cover fixed costs, and check CM3 and operational costs before matching competitor discount depth.
Answers the question: what changed in recent Black Friday and Cyber Monday behaviour, and where should a brand concentrate?
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Use it for seasonal planning.
Davide Rizzoli summarises the 2024 Black Friday and Cyber Monday period: over $70 billion spent in 24 hours, up 5% year on year, with Shopify up 24%.
The strongest markets listed are the US, UK, Australia, Canada, and Germany.
Cyber Monday continued to produce more volume than Black Friday, though the gap is narrowing.
Average discounts rose from 20–25% in 2023 to 25–30% in 2024, especially in competitive and saturated niches, while stronger brands could stay lower.
The post also flags Meta's term "forgotten friday" for the Friday before Black Friday and gives three strategic moves: choose markets and offers based on margin; extend and layer the Black Friday period across channels such as WhatsApp, email, and community; and treat Cyber Monday as carrying more value, with offers ending on 1 December.
For brands planning a campaign
A seasonal campaign brief should plan for more than one weekend or discount level. Layer offers and channel-specific early access, base market expansion on margin and competitive strength, and include Cyber Monday in the end date rather than treating Black Friday as the finish.
Answers the question: how do you use an email list during Black Friday without damaging the customer relationship?
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Use it for CRM or retention planning.
Davide Rizzoli describes working with email and automation specialist Marco Cardone on several ecommerce projects and sets out four fundamentals for using a customer database during Black Friday: give early access to offers to get ahead of competitors; build a dedicated Black Friday list with exclusive offers to create urgency and belonging; structure a calendar covering teasing, pre-launch, launch, reminder, and last call; and integrate email with other channels so pixel data from email traffic helps ad delivery. The post introduces Marco Cardone as a specialised email marketing collaborator and thanks him for contributing to a playbook.
For brands planning a campaign
A campaign that includes email should budget for a segmented list, a multi-stage calendar, and cross-channel data flow. Confirm whether the work with the named collaborator involved a paid brand partnership.
Answers the question: how could conversational commerce change product discovery and product content?
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Use it for forward-looking channel and content planning.
Davide Rizzoli reports that Shopify announced an integration with ChatGPT and expects it to change how people sell online.
The post gives no launch date, but describes product search and purchase inside ChatGPT, with product cards showing images, prices, reviews, and calls to action, working similarly to a Google product feed.
They identify likely shifts: more specific product research and greater problem–solution awareness before purchase; more targeted site content, with sensible descriptions, explained benefits, and pain points addressed; global logistics and international order handling; a new advertising surface similar to Google and Amazon; and price pressure that could start a war on offers.
They also admit some anxiety about the pace of change.
For brands planning a campaign
A campaign plan touching product discovery should prepare specific, structured product content and international fulfilment, while maintaining margin discipline before bidding on a new advertising surface. Ask for the launch date before treating this as a functioning commercial channel.
Black Friday and Cyber Monday strategy from 2024 data1
Shopify and ChatGPT: conversational commerce readiness1
Contribution margin as a discount guardrail1
Email and CRM execution for Black Friday1
Product launch classification and catalog coherence1
Black Friday and Cyber Monday strategy from 2024 data
Davide Rizzoli reviews BFCM 2024 data: over $70 billion spent in 24 hours, Shopify up 24%, average discounts rising to 25–30% in competitive markets, and Cyber Monday outpacing Black Friday.
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The post identifies Meta's "forgotten friday" as a high-conversion, lower-competition window. It recommends choosing markets and offers carefully, extending Black Friday with layered exclusives, and ending offers on 1 December to create urgency and capture late buyers.
Uses global BFCM benchmarks and market-level discount ranges to frame 2025 planning around offer choice, market selection and extended promotion windows.
For brands planning a campaign
For a DTC brand, ask Davide Rizzoli to pressure-test discount depth, decide whether to compete in the US/UK or avoid margin-destroying markets, and build a multi-week BFCM calendar rather than relying on a single weekend.
Shopify and ChatGPT: conversational commerce readiness
Davide Rizzoli explains Shopify's announced ChatGPT integration, which would let shoppers search and buy through product cards inside ChatGPT.
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The post says this could become a major sales channel, changing product relevance, content specificity, logistics, advertising and price competition. They argue that product-solution awareness will be higher before purchase, site content must clearly answer specific questions, and brands should prepare for international shipping and margin pressure from easier price comparisons.
Ask whether the announced integration has launched and how shoppers can use it; the post does not give a launch date or confirm platform behaviour.
For brands planning a campaign
A brand evaluating Davide Rizzoli for launch or BFCM should ask for a conversational-commerce readiness check covering product content, feed quality, international logistics and price positioning.
Davide Rizzoli explains contribution margin in three levels: CM1 is revenue minus COGS, CM2 is CM1 minus logistics and payment fees, and CM3 is CM2 minus marketing.
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The post gives an example of an AOV of €80 producing CM3 of €28.20 (33%) and recommends keeping both a per-order view and an aggregated monthly or annual view. Use the per-order view to plan discounts and the aggregate view to assess whether margin covers fixed operating costs.
CM1 = revenue − COGS; CM2 = CM1 − logistics and payment fees; CM3 = CM2 − marketing. Use the AOV-based per-order table for discount planning and the monthly/annual table to assess fixed-cost coverage.
Davide Rizzoli warns that CM3 percentage is not the maximum discount a brand can offer: operating costs still apply, and zero CM3 means a loss.
For brands planning a campaign
For a BFCM profitability brief, Davide Rizzoli's approach can set margin-safe discount limits, calculate break-even order volumes and tie promotional depth to fixed costs rather than gut feel.
Davide Rizzoli outlines Black Friday email preparation with email marketing specialist Marco Cardone.
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The post recommends early access to offers, a dedicated Black Friday list with exclusive offers to create urgency and belonging, and a calendar covering teasing, pre-launch, launch, reminder and last call.
It also recommends integrating email marketing with other channels so pixel data from email traffic supports ad delivery.
Marco Cardone is credited as a specialist they work with across projects.
Campaign calendar phases: teasing, pre-launch, launch, reminder, last call. Tactics: early access, dedicated BF list, exclusive offers, cross-channel data integration.
For brands planning a campaign
A brand planning BFCM can use Davide Rizzoli's approach to brief an email/CRM workstream that coordinates with paid media and builds urgency without relying solely on broad discounts.
Product launch classification and catalog coherence
Davide Rizzoli argues that a new product launch can damage an ecommerce brand when the product does not fit the catalog or audience.
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Using a fashion brand's failed sportswear launch as an example, the post defines three common launch scenarios: line extension (same product, different variables), new line (similar product for a different segment or problem, the hardest of the three), and upsell/gifts (low-price items that raise perceived value or AOV). They say the catalog should work like a place where products cooperate; adding unrelated products can shrink the audience instead of expanding it.
Classify the launch before choosing channels or creative: line extension, new line, or upsell/gift. Then test whether the new product fits the existing catalog and audience.
Davide Rizzoli identifies three common launch scenarios based on their experience.
For brands planning a campaign
For a DTC brand improving its launch strategy, this framework helps determine whether a product is a line extension, a new-segment play or an AOV play before investing in production and communication.
Across the five posts, Davide Rizzoli returns to profitability discipline, real ecommerce benchmarks, channel coordination and catalog coherence.
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The practical examples cover BFCM data, contribution-margin math, email calendars, product-launch scenarios and conversational-commerce readiness. The approach starts with margin and customer fit, then builds the campaign or channel plan around those constraints.
For brands planning a campaign
A brand should brief Davide Rizzoli on its margin structure, catalog position and channel plan, then ask for a launch or BFCM plan that connects offer strategy, email/CRM and product positioning into one decision path.
Davide Rizzoli writes about the decisions behind DTC ecommerce campaigns: whether a new product belongs in the catalog, what a discount really costs, when to run Black Friday offers, how to use the email list, and what conversational shopping may change.
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Start with the product launch post for a framework on catalog fit, then the contribution margin post for discount planning, followed by the Black Friday and email/CRM posts for campaign execution.
Treat the Shopify–ChatGPT post as a scenario to prepare for, not a described working channel.
For related thinking, Michele Sciabarrà writes on AI and software change, Ivan Canovese on procurement and supply-chain risk, and Giorgio Gnoli on CRM and data systems.
Both use direct first-person posts to challenge settled assumptions in their fields.
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Michele Sciabarrà questions posts dismissing AI as temporary and describes organisational change from the inside; Davide Rizzoli questions launch and discount orthodoxies, turning operating experience into decision rules.
Michele Sciabarrà's material centres on AI's effect on software companies, founders and leadership roles. Davide Rizzoli's focuses on catalog fit, margin, promotions and channels for ecommerce brands.
Both draw on client work to discuss cost structure and commercial choices.
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Ivan Canovese argues that economic uncertainty should push companies toward more disciplined analysis, supplier contracts and supply-chain planning rather than waiting.
Ivan Canovese focuses on B2B procurement, energy and supply-chain risk for industrial clients. Davide Rizzoli focuses on DTC ecommerce launches, discount depth, Black Friday calendars and email execution.
Both are hands-on operators who turn data and systems into commercial decisions.
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They use numbered walkthroughs and concrete counts or amounts to show what changed and why it matters.
Giorgio Gnoli works deep in CRM, data architecture and agency pipeline systems, often in Salesforce and automotive contexts. Davide Rizzoli works at the ecommerce brand strategy level, focusing on products, margin and promotion.
Davide Rizzoli’s posts address ecommerce decisions relevant to a DTC brand, including product positioning, Black Friday planning and contribution margins.
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The LinkedIn profile showed 2,269 followers on 8 October 2026. Before booking, request recent LinkedIn audience data for the target market and, if the campaign needs professional roles, a documented audience survey or other information about followers’ ecommerce roles and seniority.
The posts do not set out sponsorship terms, a media kit, pricing or a way to commission work.
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The only commercial relationship they describe is a collaboration between practitioners, not a paid placement a brand can buy: in a Black Friday email-marketing post, Davide Rizzoli credits Marco Cardone with handling email and CRM automation on nearly all their projects, calls him unusually strong on that side of ecommerce, and says that if they opened an ecommerce business, Marco would run Klaviyo.
It is a professional endorsement and a referral within a project team, not a partnership format offered to brands.
The posts offer advice on launches, margin, discounting and channel changes, showing how Rizzoli thinks about ecommerce rather than what a brand can purchase.
Brands should approach them with specific campaign goals and ask what a paid collaboration would involve, including deliverables, disclosure practices, exclusivity, pricing and timelines.
A DTC ecommerce brand preparing a product launch and a Black Friday/Cyber Monday campaign under margin pressure is the clearest fit for Davide Rizzoli’s posts.
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Three elements support a campaign designed to launch profitably during the seasonal sales period.
First, the launch framework requires a positioning decision before production or media spend: line extension (same product, different variables), new line (similar product aimed at a different segment or problem, which they call the hardest of the three), or upsell/gift (low-price additions that raise perceived value or average order value).
A brand preparing to launch can use this classification to check whether the product fits its catalog and audience before paying for production and communication.
Second, the contribution-margin post offers a guardrail for discount planning: CM1 is revenue minus cost of goods sold, CM2 is CM1 minus logistics and payment fees, and CM3 is CM2 minus marketing, each expressed as a percentage of revenue.
It also recommends a per-order view to set discount depth and an aggregate view to cover fixed costs.
The worked example—average order value of 80 euros, CM3 of 28.20 euros, and roughly 520 orders to break even against 15,000 euros of fixed costs—shows the arithmetic a seasonal plan needs before matching a competitor’s 25 to 30 percent discount.
Third, the Black Friday post links offer design to market selection and timing: choose where to compete based on margin, layer exclusives across channels such as email, WhatsApp and community, treat the Friday before Black Friday as a lower-competition window, and run offers through to 1 December because Cyber Monday carries more volume than Black Friday.
The email post adds an execution calendar—teasing, pre-launch, launch, reminder, last call—and a dedicated Black Friday list with early access.
The posts don’t specify sponsorship formats, rates, deliverables or exclusivity terms, so ask directly about scope and fees.
The LinkedIn audience snapshot is 2,269 followers, with no demographic or role data; treat this as a strategy and advisory engagement, not a reach play.
When to choose a specialist
A paid creator collaboration aimed at audience reach is a poor fit based on Davide Rizzoli’s posts.
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For example, a consumer lifestyle brand seeking a paid social partnership to put a product before a broad audience and hit an impressions or engagement target won’t find support for that approach in the five posts.
They are advisory text about ecommerce operations, not campaign creative for consumers.
The posts don’t specify a media kit, rate card, deliverables, disclosure practice or timeline, so ask directly what a collaboration would include.
The only audience figure is a LinkedIn profile count of 2,269 followers observed on 8 October 2026; without a breakdown by market, role or seniority, reach and relevance to a consumer target can’t be estimated.
The posts also provide no performance history, engagement metrics or examples of short-form video, product demonstrations or lifestyle content.
A B2B software vendor seeking thought leadership for enterprise software buyers would be equally mismatched: the posts focus on DTC ecommerce operations such as launches, discount depth and CRM.
This describes the available content, not whether Davide Rizzoli accepts sponsorships.
Before committing budget, ask directly about collaboration terms and request audience data.
A worked campaign example
A DTC brand wants to improve its launch strategy and Black Friday profitability, with a plan for new-product positioning and margin management. A workable approach has five steps.
1. Classify the launch before spending. Apply the three scenarios to the product. A skincare brand with a best-selling night serum that adds a daytime focus serum is launching a new line—the hardest case—because it targets a different need within the same niche. That classification shapes the campaign: a new line needs evidence of the segment it addresses and why the brand can serve it, while a line extension can draw on existing customers and an upsell can be handled in the cart. If the fit isn’t clear, reposition the product as a line extension or shelve the broad launch.
2. Set the margin floor. Build a CM1, CM2 and CM3 table using the brand’s own numbers, in both a per-order version starting from average order value and an aggregate monthly version. Use CM3 to guide discount depth, not as the maximum discount, because fixed operating costs still have to be paid. If CM3 per order is 28.20 euros and fixed costs are 15,000 euros, the brand needs roughly 520 orders in the period just to break even. Size the promotion against that target.
3. Choose markets and offer depth deliberately. Use the BFCM data as context, not a template: average discounts rose to 25 to 30 percent in competitive and saturated niches, but stronger brands stayed lower. A brand with thin margins and a weak offer should avoid competing head-on in the most saturated markets rather than match the deepest discounts.
4. Build a cross-channel calendar, not just a weekend plan. Offer early access to a dedicated Black Friday list, then schedule teasing, pre-launch, launch, reminder and last call. Coordinate email with paid media so email traffic feeds the advertising pixels. Plan around the Friday before Black Friday as a lower-competition window and keep offers running to 1 December to catch Cyber Monday, which produced more volume than Black Friday in 2024.
5. Define the deliverables to commission: a launch-positioning memo for the new product, a margin model built on the brand’s own figures, a Black Friday offer and calendar plan, and an email/CRM workstream. The posts don’t specify available formats, fees or timing, so agree on scope, price and start date directly before the seasonal calendar makes the work late.
Choose Michele Sciabarrà when a launch and profitability challenge is really a technical product or AI leadership problem: deciding who runs product and engineering, how to keep an AI-built product competitive, or how to structure a company where the founder shifts from CEO to hands-on technical oversight.
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For a DTC campaign at a brand also building software or an AI-driven commerce tool, their material applies when the bottleneck is technical decision-making, not promotion or margin arithmetic.
Michele Sciabarrà's posts address company governance, technical focus, and AI's effect on software, not product positioning for consumer catalogs, discount depth, or seasonal campaign timing. Ask for a DTC launch framework, contribution margin model, and Black Friday market and calendar playbook.
Choose Ivan Canovese when margin pressure comes from procurement, energy contracts, or supply chain fragility rather than discount depth and launch positioning.
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If a DTC brand's Black Friday profitability is threatened by shipping costs, supplier terms, or energy prices, their material on renegotiating contracts, analyzing costs with more rigor, and building less fragile supply chains speaks directly to the problem, as does their relationship-building approach with CFOs and procurement directors.
Ivan Canovese's posts stay in B2B cost and procurement territory, not consumer product positioning, seasonal discount depth, or cross-channel promotional planning. Ask for consumer launch classification, a per-order contribution margin table for setting discounts, and a Black Friday email or CRM calendar.
Choose Giorgio Gnoli when fragmented customer data, rather than launch strategy, is the real bottleneck.
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If a brand's Black Friday profitability depends on unifying duplicates, connecting vehicle or purchase history, calculating customer lifetime value, or building a customer 360 view before running win-back and WhatsApp automations, their material on CRM consolidation and data reconciliation is a closer match. The same applies if the brand needs an agency pipeline built through cold outreach and AI agents instead of a product launch plan.
Giorgio Gnoli's posts cover Salesforce data cleanup, LTV calculation, and agency lead generation, not product classification, promotion margin floors, or seasonal offer planning. Ask for a launch positioning framework, a contribution margin calculation for discount depth, and Black Friday market selection or timing guidance.
This profile is built from five LinkedIn posts by Davide Rizzoli, read in full, covering product launch positioning and catalog fit, contribution margin and discount limits, Black Friday and Cyber Monday 2024 results and planning, email and CRM preparation for seasonal selling, and the announced Shopify and ChatGPT integration.
Every claim on the page comes from the body of those posts or from the creator source ledger.
The material supports the practical themes above, but it does not supply publication dates, engagement figures or a performance record, so no chronology and no track record are claimed.
It also documents no books, shows, businesses or earlier career, which remains an open question for anyone searching this name.
