Irina Sabrjanskaja writes about Google Ads and paid acquisition for e-commerce brands, connecting campaign decisions to customer value, contribution margin, and profitable growth.
Irina Sabrjanskaja is useful for judging Google Ads and paid acquisition by contribution margin, payback, and profitable growth.
Best for
A DTC e-commerce brand with a mature Google Ads account seeking a paid media and unit economics audit.
Not for
A B2B SaaS company seeking a sponsored video or webinar partnership for European enterprise awareness.
Key takeaways
Two brands paying 50 euros per customer can have different contribution.
Discounting can lift revenue while weakening contribution and audience quality.
A lower ROAS can be acceptable when extra volume remains profitable.
Check first: Confirm whether they offer sponsorships and can share audience analytics for comparable posts.
Main ideas
A good ROAS can mask a stalled business · There is no universally good acquisition cost: payback and contribution decide · Discounts buy revenue while quietly damaging margin and audience quality
Irina Sabrjanskaja writes about Google Ads and paid acquisition for e-commerce brands.
Their posts connect campaign performance to the economics behind it: what a customer contributes, how long it takes to recover acquisition costs, and whether a business is ready to prioritize growth over efficiency.
Readers looking beyond headline ROAS can follow their work for practical ways to judge whether advertising is producing profitable, durable growth.
Irina Sabrjanskaja treats ad metrics as business decisions, not goals in themselves.
In one example, two brands each pay €50 to acquire a customer, but one earns €30 in contribution from the first order and the other €70; the same CAC therefore means different things.
They extend the analysis to payback time and long-term contribution, arguing that bundles, repeat purchases or a better product mix may matter more than shaving a few euros off CAC.
The same reasoning shapes their other advice: discounting can lift revenue while weakening contribution, and a lower ROAS can be acceptable when extra volume remains profitable.
They also outline conditions for shifting from efficiency to growth, including sound unit economics, operational capacity and available capital.
Their posts help e-commerce readers connect paid-media choices with margins and customer value, rather than optimize campaign dashboards in isolation.
Irina Sabrjanskaja’s recurring argument is that paid-marketing numbers only mean something when read against a brand’s unit economics.
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A campaign can show low acquisition costs and green ROAS while the business underneath stalls: contribution margin, repeat purchases and payback determine what a brand can afford to bid. From that position, they argue against optimising for efficiency by default, treating discounts as harmless or judging platform bidding targets by the platform’s own metric instead of profit.
A good ROAS can mask a stalled business
Sabrjanskaja writes that a business grows in two ways: winning more customers or earning more from existing ones.
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Most performance marketers focus almost entirely on the first and treat the second as someone else’s job—a focus they call treating symptoms rather than growing.
The second matters for paid media because a more valuable customer lets a brand bid more and win auctions it currently loses.
They advise calculating customer value on gross profit, not revenue: 100 euros at 80% margin is a different business from 100 euros at 20% margin.
Compare that value with new-customer acquisition cost on the same basis.
They consider a ratio of about 3:1 healthy; below that, the brand pays too much, while far above it suggests the brand invests too little in growth.
The practical levers they name are higher-value offers such as bundles and add-ons, repeat-purchase emails and loyalty programmes, subscriptions where the product suits them, and reducing churn.
Halving a cancellation rate from 10% to 5% roughly doubles how long an average customer stays.
The pattern Irina Sabrjanskaja describes in account audits: a brand with low CAC and green ROAS whose growth flatlines despite aggressive acquisition, every channel running and relentless scaling, while margins remain in the low single digits and repeat buyers are scarce.
There is no universally good acquisition cost: payback and contribution decide
Sabrjanskaja compares two e-commerce brands, both paying 50 euros to acquire a new customer.
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For one, that is a good CAC; for the other, it is far too expensive.
The number alone cannot answer the question.
They walk through four questions: what the customer costs, what they bring on the first purchase, when the acquisition cost is repaid, and what they contribute over the following months and years.
The third is CAC payback: the point when cumulative contribution margin covers the spend.
The fourth is contribution CLV.
They would not automatically try to cut a 50 euro acquisition cost to 45; often, the bigger lever is raising each customer’s contribution through a better offer, bundles, a better product mix or getting the second profitable purchase sooner.
They are clear that a higher customer lifetime value raises the acquisition cost a business model can carry, but using that headroom is a separate decision.
Brand A makes 30 euros contribution margin on the first order; Brand B makes 70 euros and immediately covers the 50 euro acquisition cost. Brand A is still 20 euros short, but if cumulative contribution reaches 38 euros after 30 days, 47 after 60 and 58 after 90, the acquisition cost is repaid between day 60 and day 90.
Discounts buy revenue while quietly damaging margin and audience quality
Sabrjanskaja argues that most e-commerce brands do not know what their discount campaigns really cost.
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Costs do not fall when prices do: product, fulfilment, shipping and payment fees stay the same.
Only contribution margin changes, so even a small discount can disproportionately affect profit.
Repeated discounting also teaches customers to wait for the next sale rather than buy at full price, and over time tends to attract buyers who are less loyal, stay for less time and have a weaker CLV.
There is a paid-media consequence too: Meta and Google optimise towards the buyers a brand feeds them, so discount-heavy campaigns train the algorithms to find discount-seeking buyers, making later scaling more expensive rather than cheaper.
They do not declare discounts wrong; clearing stock, cashflow, targeted new-customer acquisition and seasonal peaks can justify them.
The problem is discounting as a habit.
Sabrjanskaja describes giving 15% off to rescue a month as a move that feels harmless: revenue rises in the short term while the underlying economics weaken, because only contribution margin moves. Before the next sale, they ask whether the brand is buying revenue or actually growing.
Judge a platform bidding change against the business, not the target
Writing about a Google Ads rollout affecting target-based bidding strategies—target ROAS and target CPA—especially in campaigns marked limited by budget, Sabrjanskaja explains that Google intends to steer delivery more closely towards the set target, even when a campaign has outperformed it for months.
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Their example: a campaign set to a 500% target that has delivered 900% or even 1000% on a limited budget.
Under the change, it may spend more, reach more people and produce more conversions, but also see higher CPCs and lower actual ROAS.
They argue this is not automatically worse: if lower ROAS comes with extra revenue and positive contribution margin, that may be exactly what the business wants.
For other brands, high ROAS is what keeps them profitable.
They advise documenting cost, conversion value, ROAS, CPC, conversion rate, orders and contribution margin before the rollout, then comparing afterwards.
Never change budget, target, tracking and campaign structure at the same time; otherwise, the cause of any effect is invisible.
Consider a campaign set to a 500% target ROAS that has been running at 900–1000%. Sabrjanskaja asks whether the target aligns with the business’s goals after cost of goods, returns, discounts and shipping—not whether the new delivery looks like a failure.
Switch from efficiency to growth based on the P&L, not the mood
Sabrjanskaja warns that brands ready to grow can still optimise for efficiency and give away market share to someone else.
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They list five signals that growth should become the primary goal: strong unit economics, with sound margin and clean contribution margin; product-market fit, shown by conversion rate and demand; a real market opportunity, such as seasonality, weakening competitors or new segments; operational capacity in sales, fulfilment and support to handle more volume; and capital available, through funding or cash reserves intended to fund growth.
When all five are green, they argue, maximising efficiency is often the wrong question.
The right one is how aggressively the brand can bid to take share without breaking its guardrail.
In the account, that means higher budgets and more aggressive smart bidding strategies; more top- and mid-funnel work through YouTube, Display, Demand Gen, broad match and Performance Max; and more deliberately higher-risk experiments.
The five-signal list is the test: Sabrjanskaja asks whether margin, conversion rate, market timing, fulfilment capacity and available capital are all green before a brand authorises heavier spending. The advice applies when unit economics can carry it.
This is the clearest statement of the idea running through the other posts: paid acquisition is only one of two growth engines, and optimising it alone can hide a stalled business.
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Newcomers should start here to understand why each later campaign recommendation is checked against unit economics.
Irina Sabrjanskaja argues that a campaign can look healthy — low CAC, ROAS in the green — while the business still stops growing.
A business grows in two ways: by winning more customers or earning more from existing ones.
Most performance marketers focus only on the first and treat the second as someone else's job, which they call symptom treatment rather than growth.
If a customer is worth more, you can afford to bid more and win auctions you currently lose.
They describes e-commerce brands that acquire aggressively, run every channel, and scale hard — then hit a wall with low single-digit margins and few repeat buyers.
They name concrete levers: higher-value offers such as add-ons and bundles, repeat-purchase emails and loyalty programmes, moving suitable products to subscriptions, and cutting churn (halving cancellation from 10% to 5% roughly doubles average customer lifetime).
They advise calculating customer value on gross profit rather than revenue — 100 € at 80% margin is a different business from 100 € at 20% — and comparing it with new-customer acquisition cost.
A 3:1 ratio is healthy; figures below or far above that signal over- or under-investment in growth.
For brands planning a campaign
A paid media and unit economics audit should look beyond ROAS.
Ask for retention offers, subscription fit, churn rate, and customer value on a gross-profit basis alongside new-customer acquisition cost.
If the ratio is weak, the budget conversation changes: improving retention can raise the bid ceiling more than trimming campaign spend.
This post supplies the arithmetic behind the previous argument.
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It answers the question a brand will ask first — is our acquisition cost good or bad? — and shows why the number alone cannot answer it.
Two e-commerce brands each pay 50 € to acquire a customer.
For one, that is a good CAC; for the other, it is far too expensive.
Brand A makes 30 € contribution on the first order; Brand B makes 70 €, so Brand B has already covered acquisition after the first purchase while Brand A is 20 € short.
For Brand A, if cumulative contribution reaches 38 € after 30 days, 47 € after 60 days, and 58 € after 90 days, the acquisition cost is repaid somewhere between day 60 and day 90 — that is CAC payback.
The next question is contribution CLV: how much contribution the customer generates over the following months and years.
Sabrjanskaja lays out four questions in order: what the customer costs, what they bring on the first purchase, when acquisition cost is repaid, and what they contribute long term.
They would not automatically push a 50 € CAC down to 45 €, because the bigger lever may be raising contribution per customer through a better offer, bundles, a better product mix, or making the second profitable purchase happen sooner.
For brands planning a campaign
Before judging or cutting CAC, request first-order contribution, payback window, and contribution CLV. Those three numbers show whether an efficient-looking CAC is actually healthy and whether the audit should prioritise offer and product-mix changes over bid or budget tweaks.
It explains a pattern an audit will often see but not measure: revenue rising during promotions while profitability quietly falls.
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Read it before evaluating a brand that runs regular sales.
Irina Sabrjanskaja describes how giving 15% off to rescue a month can feel harmless.
Revenue rises short term, but the underlying economics weaken.
Product, fulfilment, shipping, and payment costs do not shrink when the price drops; only contribution margin changes, and a small discount can have a disproportionate effect on profit.
Regular discounts also train customers to wait for the next sale instead of buying at full price, and over time tend to attract buyers who are less loyal, stay for less time, and have weaker CLV.
There is a performance marketing effect, too: Meta and Google optimise for the buyers you feed them, so discount-heavy campaigns teach the algorithms to find discount-seeking buyers, making later scaling more expensive rather than cheaper.
Sabrjanskaja does not call discounts wrong in principle — clearing stock, cashflow, targeted new-customer acquisition, and seasonal peaks can justify them — but as a habit, they erode what the brand has built.
Before the next sale, they ask: is this buying revenue, or is it real growth?
For brands planning a campaign
Include discount cadence and promo dependency in the audit.
Check whether discount-driven orders are lowering contribution and skewing ad-platform learning toward low-loyalty buyers.
Treat a promotion-heavy sales pattern as a possible cause of rising acquisition costs, not a neutral tactic.
This is the decision framework for the opposite of a cost-cutting audit: a brand ready to spend more.
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It gives five concrete signals to check and the account actions that follow.
Irina Sabrjanskaja opens with the risk of being ready to grow but still optimising for efficiency — and losing market share to someone else.
They list five signals that growth should become the primary goal: strong unit economics with sound margin and clean contribution; product-market fit with conversion rate and demand in place; a real market opportunity such as seasonality, weakening competitors, or new segments; operational capacity in sales, fulfilment, and support to handle more volume; and capital available, whether funding or cash reserves intended for growth.
When those are green, they say, maximising efficiency is often the wrong question.
The right one is how aggressively the brand can bid to take market share without breaking its guardrail.
In the account, that means higher budgets and more aggressive smart bidding strategies; more top- and mid-funnel activity through YouTube, Display, Demand Gen, broad match, and Performance Max; and more experiments with deliberately higher risk.
Staying in efficiency mode with all signals green, they write, hands market share to someone else.
For brands planning a campaign
For a brand that meets these signals, a campaign aimed at growth should authorise higher budgets and upper-funnel tests with explicit guardrails, not just cost reduction. If the signals are not met, the audit should say so and maintain an efficiency focus; aggressive bidding is not the recommendation.
It documents a platform change that affects target-based bidding for budget-limited campaigns, with a concrete before-and-after checklist.
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Useful for any brand running target ROAS or target CPA with a limited budget.
Irina Sabrjanskaja writes that Google is rolling out changes to target-based bidding strategies — target ROAS and target CPA — especially for campaigns with the active status limited by budget.
Google intends to align bidding more closely with the set target, even when a campaign has performed considerably better than that target.
Their simplified example: a campaign set to a 500% target ROAS that has in practice achieved 900% or even 1000% with a limited budget.
Previously, Google could prioritise the most efficient auctions and deliver a much higher actual ROAS; after the change, delivery can move toward the set target, which may mean higher spend, more reach, more conversions, possibly higher CPCs, and a lower actual ROAS.
They stress that this is not automatically worse: for some businesses, a lower ROAS with extra revenue and positive contribution is exactly the goal.
For others, the high ROAS is essential to profitability.
They advise documenting key metrics today — cost, conversion value, ROAS, CPC, conversion rate, orders, and contribution margin — and comparing them after the rollout.
Do not change budget, target ROAS, tracking, and campaign structure at the same time, or the cause of any effect will be unclear.
The post says the change takes effect from the day it was written; ask for the publication date before acting on rollout timing.
For brands planning a campaign
Time the audit around the rollout: capture baseline cost, conversion value, ROAS, CPC, conversion rate, orders, and contribution margin before making any other change, and hold other variables steady so the bidding change's effect is visible. The right campaign decision also depends on whether the brand's business can absorb a lower ROAS in exchange for more volume.
Smart Bidding changes for budget-limited campaigns
One post reports a Google rollout affecting target-based bidding strategies — target ROAS and target CPA — particularly in campaigns marked "limited by budget."
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The concern: Google will steer delivery more strongly toward the set target value, even for campaigns that have outperformed it for months.
The worked example is a campaign set to a 500% target ROAS that has actually delivered 900–1,000%; under the change, it may spend more, reach more people and produce more conversions, but also face higher CPCs and a lower actual ROAS.
The recurring argument is that a target ROAS of 500% is not automatically good: what matters is whether profit remains after cost of goods, returns, discounts, shipping and other variable costs.
Check which campaigns are budget-limited, how far actual performance sits from the target ROAS or CPA, and whether the target matches the business’s goals.
Document key metrics before rollout, then compare cost, conversion value, ROAS, CPC, conversion rate, orders and contribution margin afterwards.
Change only one variable at a time so the cause of any effect stays visible.
A lower actual ROAS is not automatically a failure. If additional revenue at a lower ROAS still leaves a positive contribution margin, that may be the outcome the business wants.
For brands planning a campaign
A brief for this paid media work should call for an audit of target values and budget limits, not just lower bids. It should also request margin data to judge targets against profit rather than the platform’s own metric.
One compares two e-commerce brands, both paying €50 per new customer: that is a good CAC for one and far too expensive for the other, because the first purchase brings in €30 contribution margin for one brand and €70 for the other.
What happens next determines the rest: the post works through CAC payback (the day cumulative contribution margin covers the acquisition cost) and contribution CLV (contribution margin the customer generates over later months and years), concluding that CAC alone answers only the first of four questions.
The other post reports the same pattern in account audits — low CAC, ROAS in the green and stalled growth — because only winning new customers is optimised while customer value is treated as someone else’s job.
Compare customer value and new-customer acquisition cost (nCAC) on a gross profit basis rather than revenue, using the 3:1 ratio named as healthy: below it, the brand pays too much; above it, the brand is probably underinvesting in growth. Levers for raising customer value include higher-value offers, bundles and add-ons; repeat-purchase email and loyalty sequences; subscriptions where the product fits; and churn reduction, where halving the cancellation rate roughly doubles how long a customer stays.
The post is explicit: a higher CLV raises the CAC a business model can carry, but that does not mean the brand should use that room. Turning extra headroom into higher acquisition costs is a separate decision.
For brands planning a campaign
The audit should test whether paid targets reflect contribution margin and an acceptable payback window, not just ROAS, and whether the account can trade a higher CAC for a shorter payback or higher contribution CLV. It should also identify whether the brand needs to improve retention and offers before increasing acquisition spend.
One post argues that most e-commerce brands do not know what their discount campaigns really cost.
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Costs do not shrink when prices fall: product, fulfilment, shipping and payment fees stay the same, so only contribution margin changes, and even a small discount can have an outsized effect on profit. Repeated discounting also trains customers to wait for the next sale, attracts less loyal buyers with shorter lifetimes and weaker CLV, and feeds the ad platforms: when discount campaigns dominate, Meta and Google learn to find the buyers those campaigns produce, making scaling more expensive rather than cheaper.
The post allows for discounts when clearing stock, improving cash flow, acquiring targeted new customers or meeting seasonal peaks. Its concern is discounting as a habit.
For brands planning a campaign
Assess any discount-led creative or offer in a paid media plan against margin and the quality of the audience it recruits, not just the revenue spike. A profitable acquisition plan may need promo-free offers or discounts narrowed to specific purposes.
When to switch from efficiency mode to growth mode
One post lists five P&L signals for making growth the priority: strong unit economics, with sound margin and contribution margin; product-market fit, shown by conversion rate and demand; a market opportunity such as seasonality, weakening competitors or new segments; operational capacity, meaning sales, fulfilment and support can handle more volume; and available capital intended to fund growth.
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If all five are green and the brand keeps maximising efficiency, the post argues, it gives away market share that someone else will take.
In the account, that means higher budgets and more aggressive Smart Bidding strategies; more top- and mid-funnel work through YouTube, Display, Demand Gen, broad match and PMax; and more experiments with deliberately higher risk — all within a guardrail the brand defines.
For brands planning a campaign
A growth brief should establish the guardrail and how aggressively the brand may bid, rather than defaulting to efficiency targets. The five-signal test helps determine whether this growth advice fits the brand’s stage of business.
The posts contain no explicit sponsor, client, employment, ownership, affiliate, or investment disclosure.
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Irina Sabrjanskaja writes as a paid-media practitioner, and the platforms named in the posts — Google Ads, Meta, YouTube, Display, Demand Gen, Performance Max, and search broadly — appear as tools whose bidding, budget, and discounting mechanics are being analysed, not as disclosed commercial relationships.
Irina Sabrjanskaja publishes in German on LinkedIn.
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Start with the two posts about customer value and acquisition cost: they explain why a low CAC and a green ROAS can coexist with a stalled business, and how CAC payback and contribution margin determine what a brand can afford to bid.
Then read the post on Google's change to target ROAS and target CPA bidding for budget-limited campaigns, which applies the same logic to a platform decision.
Two further posts widen the frame: one examines the real costs of discount campaigns in margin and audience quality; the other identifies five P&L signals that justify switching from efficiency mode to growth mode.
For more on paid acquisition economics, follow the topic to Jakob Strehlow, whose posts judge lead generation by revenue outcomes rather than cost per lead.
For the offer and decision side, see Daniel Levitan's e-commerce writing.
Works on paid acquisition for e-commerce and lead generation, judging campaigns by business outcomes rather than platform metrics.
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Strehlow's post on Meta's lead-quality goals makes the same point as Irina Sabrjanskaja's writing on ROAS: a cost per lead of 30 euros is worthless if sales never accepts the lead, and the real lever is feeding CRM data back to the ad platform. Both write long German LinkedIn posts that explain a recent platform change and recommend what operators should do about it.
Strehlow focuses on Meta and TikTok paid social, including CRM and webhook integrations to improve lead quality and value optimisation, and writes from the perspective of an agency founder. Irina Sabrjanskaja focuses on Google Ads, search bidding and contribution-margin arithmetic rather than lead-qualification plumbing.
Turns hands-on commercial experience into lessons for e-commerce operators, using the same long German LinkedIn format.
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Levitan's cupcake-shop story about twelve flavours and customers asking what to recommend frames an offer and decision problem.
That is close to Irina Sabrjanskaja's argument that a better offer and higher contribution per customer raise what a brand can afford to pay for one.
Both start with a concrete, first-hand case and generalise it into a rule operators can apply.
Levitan's examples come from running an e-commerce business, and the subject matter leans towards choice architecture, conversion and leadership, presented through a podcast and book recommendations as well as posts. Irina Sabrjanskaja's examples come from ad-account audits and bidding metrics, and Sabrjanskaja's posts contain no podcast or book content.
Both use the same publishing format and target the same readers: a long German LinkedIn post that draws on the author's working experience and turns it into a numbered list of rules for people who run teams or companies.
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Both address operators directly and close with a question meant to prompt a reply.
The focus is recruiting, leadership behaviour and motivation, not paid media or margin arithmetic.
The overlap is in teaching approach and format, not ideas.
Readers following Irina Sabrjanskaja for acquisition economics will not find that thread in Schröder's posts.
For a DTC e-commerce brand weighing a paid media and unit economics audit, Irina Sabrjanskaja’s content targets operators managing Google Ads alongside CAC, contribution margin, and discount strategy.
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Five LinkedIn posts cover Google Ads target ROAS and smart bidding changes, nCAC versus customer value, contribution CLV and CAC payback, discount damage to margin, and when to shift from efficiency to market-share growth.
The linked profile lists 13,945 LinkedIn followers, observed 2026-10-08.
Before treating their reach as direct access to a specific buying committee, ask for recent audience survey results or platform analytics for comparable posts, including who engaged and in what roles.
LinkedIn followers
13,945
LinkedIn profile for Irina Sabrjanskaja · 2026-10-08
Irina Sabrjanskaja’s five posts offer first-person analysis of Google Ads and e-commerce profitability: bidding-strategy changes, target ROAS and target CPA mechanics, discounting and margin, customer acquisition payback, contribution CLV, and when to shift from efficiency to growth.
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Occasional hashtags (#GoogleAds, #SmartBidding, #PerformanceMax, #Ecommerce, #SEA) are topical labels, not disclosed brand relationships; no post names a sponsor, tagged partner, or commercial offer.
The posts point to an analytical, consulting-style approach to Google Ads accounts and profitability metrics, delivered through written arguments and diagnostic questions.
They do not specify partnership formats, sponsorship packages, media-kit details, or an inquiry route.
Buyers considering paid work should ask directly about available terms and how to inquire.
A DTC e-commerce brand with a mature Google Ads account wants to improve paid acquisition profitability. It seeks a paid media and unit economics audit and can share margin, retention and acquisition data.
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Reasons
The audit Irina Sabrjanskaja describes fits this brief. Their Google Ads post recommends checking which campaigns are limited by budget, how actual performance compares with the target ROAS or CPA, and whether that target reflects the business’s goals rather than the platform’s own metric. It also lays out a before-and-after comparison of cost, conversion value, ROAS, CPC, conversion rate, orders and contribution margin. The rule: change one variable at a time so the cause of an effect stays visible.
The recommendation goes beyond ROAS. A comparison of two brands shows how to judge whether CAC is good or bad: first-order contribution margin, cumulative contribution at 30, 60 and 90 days, the time it takes to repay acquisition costs, and the contribution a customer generates in later months. The 3:1 reference ratio between customer value and new-customer acquisition cost is based on gross profit, not revenue.
The audit extends beyond the ad account. Named levers include higher-value offers, bundles and add-ons, repeat-purchase email and loyalty sequences, subscriptions where the product fits, and churn reduction. Halving cancellation from 10% to 5% roughly doubles average customer lifetime. These changes can increase what a brand can afford to bid.
Discounting is framed as a recurring profitability risk, not a neutral tactic: costs do not fall with prices, even a small discount can have an outsized effect on profit, repeated promotions train customers to wait, and discount-heavy campaigns teach Meta and Google to find discount-seeking buyers, making later scaling more expensive.
The same method can answer the opposite question. A post on five P&L signals identifies when efficiency should stop being the priority: strong unit economics, product-market fit, a real market opportunity, operational capacity, and capital intended for growth. When those conditions hold, the account actions include higher budgets, more aggressive smart bidding, greater investment in upper- and mid-funnel activity through YouTube, Display, Demand Gen, broad match and Performance Max, and more deliberately higher-risk experiments—all within a guardrail the brand defines.
Verdict
Strong fit based on the posts.
What to confirm
The posts are written German-language analysis. They include no rate card, service description, booking route or sponsor policy. Ask directly about engagement terms, scope, availability and language of delivery before committing a budget.
The five posts include no client audits, account results or third-party confirmation of work with named brands. Ask for relevant examples or references; otherwise, the fit rests on demonstrated method rather than documented outcomes.
The method requires data from the brand: contribution margin by order, first-order versus repeat contribution, new-customer acquisition cost, payback windows, discount cadence, and retention or churn rates. A brand that reports only ROAS and revenue cannot apply the most useful part of this approach.
When to choose a specialist
A B2B SaaS company wants a sponsored video series or webinar partnership aimed at a European enterprise audience, with brand-visible segments and a media kit, to build awareness ahead of a product launch.
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Reasons
Every post is German-language analysis of Google Ads and DTC e-commerce economics: target-based bidding changes in budget-limited campaigns, CAC payback and contribution CLV, discount economics, and when to shift from efficiency to market-share growth. The posts do not address B2B software, enterprise buying committees or pipeline measurement.
No partnership format is documented. The material includes no media kit, rate card, sponsorship package, sponsor disclosure or inquiry route, and no post names a sponsor, tagged partner or commercial offer. The occasional hashtags are topical labels, not disclosed brand relationships. Ask directly whether sponsorships are available and what formats and terms they offer.
The posts are text posts on LinkedIn; no video, podcast, webinar or live format is shown. Ask for examples before assuming sponsored video or webinar delivery is available.
The only published audience measure is a follower count of 13,945 on the linked LinkedIn profile, observed 2026-10-08. Reach into a named enterprise buying committee is unverified: there is no engagement data or information on geography, seniority or occupation. Ask for audience data relevant to the target market.
The frameworks focus on contribution margin, CAC payback and discount economics for physical-goods e-commerce. That logic does not transfer cleanly to enterprise software sales cycles, seat expansion or pipeline attribution.
Verdict
Poor fit based on the posts.
What would change this
A brief for a written paid media and unit-economics diagnostic on a consumer-facing or e-commerce business would align with the work described above.
Ask directly whether they take sponsorship or video work and request examples; the posts do not establish this.
The posts do not establish anything presentation-led, entertainment-led or built on named third-party brand tie-ins.
A worked campaign example
Angle
Before cutting or raising the cost target, check whether the business model can support the current cost per customer. The opening argument, drawn from the two-brand comparison: both brands pay 50 euros for a new customer, but that is a good result for one and far too expensive for the other. The first purchase brings in 30 euros of contribution margin in one case and 70 in the other.
Deliverables
A baseline metric sheet showing contribution margin by campaign.
A campaign-level review comparing target values with actual performance, with limited-by-budget status highlighted.
A payback and contribution-value model showing the customer value to acquisition cost ratio on a gross-profit basis.
A retention and discount risk note covering churn, subscription fit and promotion dependency.
A one-page decision on efficiency versus growth, with a defined bid guardrail and next-step brief.
Measures of success
Contribution margin after the change versus baseline over the same spend window.
Days to acquisition-cost payback and customer value relative to new-customer acquisition cost.
Share of revenue from discounted orders.
Whether each result can be tied to one change rather than a bundle of simultaneous edits.
Starting point
The scenario: a DTC brand runs target ROAS and target CPA campaigns, several marked limited by budget. Margins are tight, monthly promotions have become routine, and the brand's instinct is to push CAC down.
Steps
Capture a baseline before making any changes: cost, conversion value, ROAS, CPC, conversion rate, orders and contribution margin by campaign. Freeze budget, target values, tracking and campaign structure during the test window so any movement can be attributed to one cause.
Separate campaigns marked limited by budget that use target ROAS or target CPA, then compare actual performance with the set target. Flag campaigns performing far above target: after the platform change, delivery may move toward the target, bringing more spend and reach but also higher CPCs and a lower actual return.
Rebuild customer value around gross profit, not revenue: first-order contribution, cumulative contribution at 30, 60 and 90 days, the day acquisition cost is repaid, and contribution in later months. Compare this with new-customer acquisition cost and report the ratio against the 3:1 reference.
Audit offers and retention: bundles, add-ons and higher-value offers; repeat-purchase email and loyalty sequences; subscription fit; and cancellation rate. Show what halving churn would do to average customer lifetime.
Audit discount cadence: the share of revenue from discounted orders, the effect on contribution margin, and whether promotions are skewing ad-platform learning toward buyers who wait for sales and stay for less time.
Run the five-signal check on unit economics, product-market fit, market opportunity, operational capacity and available capital. Then decide explicitly whether to pursue efficiency or take market share, with a guardrail for how aggressively the account may bid.
Ship one change at a time and remeasure the metrics listed above after each.
Terms to settle first
Before booking, agree scope, format, language and data-sharing directly; no service description was provided, so confirm the deliverables.
Title
Two-week paid-acquisition profitability diagnostic for a DTC e-commerce brand
Choose Jakob Strehlow over Irina Sabrjanskaja when the profitability problem sits inside Meta and TikTok rather than in the unit economics.
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The posts work the platform layer directly: passing down-funnel data back to Meta so the system optimises for qualified leads and deal value instead of form fills; wiring the CRM (Salesforce, Pipedrive, ActiveCampaign, HubSpot, with Make said to follow) so that feedback loop exists at all; and using a worked example of a paid message sent to the wrong job title to argue that defining the audience is the first job.
Where Sabrjanskaja starts from contribution margin, discount cadence and CAC payback, Strehlow starts from what the campaign is telling the algorithm and who it actually reaches.
The two answer different halves of the same paid-acquisition profitability question.
Pick Strehlow if the account already knows its margins and the problem is delivery, signal quality or the plumbing that returns sales outcomes to the ad platform.
The Strehlow posts stay at the platform and campaign layer.
They do not rebuild customer value on gross profit, set a payback window or weigh routine promotions against contribution margin—the part of Sabrjanskaja’s method that determines whether an acquisition cost is affordable.
Choosing Strehlow buys hands-on paid-social detail, including targeting discipline, lead-quality optimisation and CRM feedback loops, while leaving the economics question where it was.
The two posts are dated 18 September and 4 October 2026 and are written in German.
Ask both creators directly about rates, scope and collaboration formats.
Not a better choice for improving paid acquisition profitability.
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Melissa Schröder's posts are about leadership and recruiting: ten sentences that make a manager's behaviour visible to a team, such as admitting a mistake, inviting disagreement and not expecting round-the-clock availability; and an argument that people do not arrive unmotivated but stop contributing after ideas go unanswered and decisions are taken back.
Nothing in those posts touches ad accounts, acquisition costs, margin or measurement.
Schröder would enter the same decision only if the brand concluded that its paid-acquisition problem was really about staffing and retention—finding and keeping the people who run the programme—rather than media or unit economics.
For the buyer task as stated, improving paid-acquisition profitability, the posts do not compete.
Bringing Schröder in means giving up the measurable part of the paid-acquisition profitability assessment.
The posts offer no metric, model or account action a DTC brand could test against contribution margin or CAC payback, so there is nothing here to use in an audit.
In exchange, they cover a question audits usually ignore: whether the team responsible for executing changes is set up to stay and raise problems early.
The two posts are dated 1 and 2 October 2026 and are written in German.
Ask directly what service terms and audience data are available before buying.
Choose Daniel Levitan when paid traffic converts badly because the store asks too much of the buyer.
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One post recounts a firsthand experience running a cupcake shop: more flavours did not produce more sales, customers kept asking which one to take, and telling them that everything tastes good and they should just work through the range was the wrong answer.
The post names the mechanism—the paradox of choice—and suggests grouping options by need or occasion, such as a chocolate-lover box, a bundle for a wine evening or a grilling bundle.
The buyer then chooses a situation rather than a single product.
Applied to a DTC brand with a wide catalogue, that is a different lever on the same profitability question: fewer, better-framed choices should lift conversion and order value without touching bids.
The other post, a leadership lesson taken from a basketball coach's book, stays in the same shop-owner and team-builder register and does not analyse accounts.
The Levitan posts contain no CAC, ROAS, contribution margin or discount arithmetic, and nothing on bidding or measurement.
Choosing Levitan substitutes merchandising and offer framing for the unit-economics audit, making the result harder to attribute to one variable than a campaign test run with frozen settings.
That trade is worth making when margins are healthy and traffic converts poorly; it does not answer which acquisition cost the business can carry.
There are two posts, dated 12 March and 15 September 2026, written in German.
Ask directly about service description, client results and audience data.
This page is based on five LinkedIn posts written in German by Irina Sabrjanskaja and read in full: a Google Ads change to target-based bidding for budget-limited campaigns, five P&L signals for moving from efficiency to growth, CAC payback and contribution-based customer value, the economics of routine discounting, and a comparison of two brands paying the same acquisition cost.
The posts address Google Ads, Meta, YouTube, Demand Gen and Performance Max as tools whose bidding, budget and discount mechanics are being analysed, so those platforms read as subject matter rather than disclosed commercial relationships.
The material carries no publication dates, so the posts are treated as a body of argument rather than a timeline, and no stored analysis records accompany them.
Comparison rests on accepted earlier reading of two posts each from three similar creators: Jakob Strehlow on lead quality judged by revenue outcome, Daniel Levitan on offer and decision problems in e-commerce, and Melissa Schröder on the same long German LinkedIn format.
The reviewed corpus covers one channel, writing rather than video, podcast or event work, and no stored analysis records were available for any of the posts.
Two gaps should be flagged for anyone relying on this page.
First, no signature book, show, business, or earlier career body of work appears in this evidence or has been confirmed elsewhere, so the page cannot yet account for the subjects a general name search may bring with it.
Second, no sponsorship, client, employment or ownership relationship is stated anywhere in the posts, and no rate card, media kit or service description was provided, so engagement terms and commercial formats are unverified rather than confirmed as unavailable.
