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DDM · Growth

Who wins the customer?

Why you win or lose a bid and how much you can afford to pay for a new customer.

See the source ↗DDM RESULTS · Text checked on 11 October 2026
The button opens the current source. Automatic text updates are enabled once integrated on ddm.ro.
The decision behind this article: how much you can invest to win a healthy customer.
Calculate the acquisition ceiling · Test your own figures · Investigate lost bids

Customers decide with the information you give them. If your offer leaves the important questions unanswered, a competitor can win before you even discuss price. The customer may ask for a quote and then go quiet. Or choose a competitor who, from your point of view, doesn't have a better product.

Before concluding that the market only buys on price, check what that customer was able to compare. Did they see the difference between the offers? Did they understand how the collaboration would work? Did they find proof relevant to their situation? Did they get an answer that helped them decide?

For your 2027 growth plan, these are more useful questions than "how do we get a little more traffic?". They show where you already have attention but lose the chance to turn interest into a choice.

The same product, two different offers

Two companies may sell the same equipment. One publishes only the specifications and a form. The other explains availability, installation, service, extra costs and the types of projects it can take on. The product is comparable; the information needed to buy is not.

The same happens in services. "Personalised consulting" says too little about what the buyer gets. An explained process, an example result and clear conditions help them assess whether the offer fits.

A useful advantage has to answer a real concern. Fast delivery matters when delay is costly. Specialisation matters when the project requires precise experience. A lower price can matter when the offers and risks are comparable. Differentiation starts with understanding this situation, not with inventing an adjective.

The customer also compares the risk of the decision

In an important purchase, the buyer has to be able to explain their choice. A business owner may have a budget to protect. A director may have to justify the supplier to colleagues. In both cases, uncertainty can delay the decision even when the product is good.

That is why proof has to be close to the buyer's problem. A long list of logos can confirm that collaborations exist, but on its own it doesn't explain what was done. A relevant case study shows the context, the intervention and the result you can document.

No proof, however strong, removes all uncertainty. It helps the customer ask better questions and evaluate the offer with more information.

Track what happens between the enquiry and the contract

At DDM, every recommendation has to be tied to how the business attracts, convinces and serves the buyer. We decide what is worth amplifying after we understand the offer, the demand and the customer economics.

A budget produces attention. A healthy commercial system turns attention into the right enquiries, offers that can be sold and relationships worth keeping. The analysis starts with three questions: what does the customer buy, what stops them and what has to work in order to grow.

Where is a sale lost?

Signal observedHypothesis to checkIntervention you can evaluate
Many enquiries, few good fitsThe message attracts too broad an audienceAn offer for one segment and clear qualification
Quotes sent, decisions postponedThe customer can't evaluate the process or the riskImplementation plan, conditions and relevant proof
The discussion comes down to priceThe difference in value is not understoodAn explicit comparison of deliverables and costs
Good enquiries, hard to reachThe sales response doesn't support the intentAn owner, a realistic deadline and a precise next step

These signals don't prove the cause on their own. Read the conversations, compare won bids with lost ones and talk to customers. If the hypothesis is wrong, a nicer page will hide the problem without solving it.

What DDM's experience shows in practice

In the ClarSanit case study, DDM presents interventions in campaigns, the website and email marketing. The page reports an increase in peak ROAS in Meta from 0.42 to 10.54 in two months, without increasing the budget invested. The word "peak" matters: the figure should not be presented as the average of all campaigns or the profit of the whole company. [1]

The example offers a reason to analyse for an online retail business: if the message, the offer and the website experience are worked on together, the evaluation of the project can go beyond a campaign's settings. It doesn't prove that the same change will happen for any client, and it doesn't isolate the contribution of each intervention.

At RoCredit, the commercial problem was attracting relevant enquiries for B2B financing. The published study reports over 3,000 qualified leads and a share of over 85% legal entities among the Google Ads enquiries. These values describe acquisition and enquiry filtering; they should not be turned into a number of financing contracts signed. [2]

For anyone evaluating a partner, this precision is exactly what makes the proof useful. They can see which objective was pursued and which result is publicly supported.

What happens after you send the quote?

An ad can attract the right customer and the page can lose them through a lack of clarity. The page can explain the offer well and the form can ask for too much too early. The enquiry can be relevant and the sales response can ignore the question the person came with.

Every break changes the result. If the message promises an analysis, the next step has to explain what the analysis includes. If you promote a solution for a particular sector, the proof and the qualification questions have to be relevant to that sector.

In DDM's articles about lead generation we discussed the relationship between enquiries, qualification and the sales process. The question is: where does the customer lose the reason they would choose your offer? [3]

A calculation that changes the budget discussion

Imagine two campaigns, each with a budget of 18,722 EUR. The first brings 200 leads and 5 customers. The second brings 80 leads and 8 customers. The example is hypothetical and assumes customers are correctly attributed to each campaign.

In the first, the media cost per lead is 94 EUR and the media cost per customer is 3,744 EUR. In the second, the values are 234 EUR per lead and 2,340 EUR per customer. The first looks more efficient if you look at the form. The second uses less media budget for each customer won.

You still can't decide profitability from this calculation alone. You have to add marketing and sales costs, customer margin, the time needed to close and delivery costs. But the example shows why an intermediate figure can steer the budget in the wrong direction.

Take the calculation all the way to commercial contribution. If each customer in the example brings 7,489 EUR after variable delivery costs, the first campaign produces 37,443 EUR in contribution before media and the second 59,909 EUR. After the media budget of 18,722 EUR, that leaves 18,722 EUR and 41,188 EUR respectively, before other costs. If margins differ between customers, the comparison has to be redone. All these values are hypothetical.

You scale the budget when you know which customer you win, how much they contribute and how long it takes to recover the investment.

How the market connects to the customer's choice

Atlas can help you select the companies and segments worth investigating. Digital presence analysis looks at the offer and the competitors online. Case studies show documented interventions and results. Together, they provide information for a growth decision; each has a role and a limit.

At DDM, the direction of work starts from the business and from the reason the customer would buy. We then build the communication, the pages and the acquisition around that choice. The article on business expansion explains the role of differentiation and positioning in this approach. [4]

How much is left after you deliver?

For a chosen period, calculate the customer's revenue after discounts and returns, then subtract the variable costs of product, delivery, processing and support. What remains is the contribution available before acquisition and the fixed costs not included. Use the same basis excluding VAT in the comparison.

Decide how much of that contribution must be kept to cover fixed costs, risk and the result you are aiming for. The difference is the economic acquisition ceiling in the scenario. It is not automatically a recommended budget: cash needs, capacity and uncertainty may call for a lower limit.

Acquisition ceiling per customer = estimated contribution for the period − contribution you want to keep.

Hypothetical example: a customer brings 7,489 EUR in contribution over the chosen period, and the business needs to keep 2,808 EUR. The total acquisition ceiling is 4,680 EUR. If non-media marketing and sales cost 936 EUR per customer, a media ceiling of 3,744 EUR remains. Don't deduct costs twice: each expense belongs to a single category.

How much can you pay for a lead?

If 10% of comparable leads become customers, a media ceiling of 3,744 EUR per customer corresponds to a maximum CPL of 374 EUR. At a 5% close rate, the limit drops to 187 EUR. Calculate the rate on leads old enough to have gone through the sales cycle and include all leads under the same definition, not only those qualified after selection.

Calculator

How much can you pay for a customer?

Start from what is left after delivery.

Your values

Use the estimated contribution over the same period for all customers compared. Non-media costs include the marketing and sales allocated per customer. The initial values are hypothetical.

Results

Hypothetical example · change the values for your business.

Total acquisition ceiling: 4,680 EUR/customer. Media ceiling: 3,744 EUR/customer. Maximum media CPL in the scenario: 374 EUR.

Estimates for the scenario entered, before costs not included and taxes. The economic ceiling is not a performance promise and does not automatically estimate customer lifetime value.

In online retail, ROAS has to be read through margin

In a simplified model, if the contribution margin before advertising is 25% of attributed revenue, the break-even media ROAS is 1 ÷ 0.25 = 4. At a ROAS of 3, advertising consumes more than the available contribution. At a ROAS of 5, the difference can be positive before other costs. A good ROAS in the platform can still be insufficient when returns, discounts and delivery erode the contribution.

This calculation requires revenue and margin to be defined consistently. If the platform reports orders including VAT and the margin is calculated on revenue excluding VAT, the result is not comparable. Adjust for returns and don't automatically treat all conversions attributed to the platform as incremental sales. Break-even ROAS is a simplified economic benchmark, not the profit of the business.

What to ask a customer who chose another supplier

Select won and lost bids from the same segment and period. Don't compare small urgent projects with large projects that require approval in several stages. Ask what triggered the enquiry, who was involved, which alternatives stayed on the list and what made the chosen offer feel safer.

Ask for examples: "What information was missing?", "What condition made the difference?", "What stopped you from going further?" and "What could you justify internally about the offer you chose?". Record the exact answer separately from the team's interpretation. "It was expensive" can mean an insufficient budget, unclear value or an offer that included more than the customer needed.

Add a main reason for the loss and a note with the evidence in your CRM. Keep "unknown" when you have no answer. A classification invented by the salesperson can produce a tidy report and a wrong decision.

Where would an improvement matter most?

Hypothetical scenario: 100 enquiries become 40 qualified opportunities, then 20 quotes and five customers. At 7,489 EUR contribution per customer before acquisition, the result is 37,443 EUR. If the quote-to-customer rate rises from 25% to 35%, keeping the same 20 quotes, the scenario produces seven customers and 52,421 EUR in contribution: a difference of 14,977 EUR before the cost of the intervention.

This is a sensitivity calculation, not a forecast. It shows which stage deserves investigation. Check whether the reason for the loss can be influenced and whether the team can deliver the additional customers. More quotes don't produce the same value if lower-margin projects come in.

What to decide before the next test

  • Write down the problem, the segment and the change being tested before launch.
  • Choose the final metric and the economic threshold from your own margin.
  • Set the maximum budget, the owner and the analysis date after the sales cycle.
  • Stop at the accepted loss limit or when quality and delivery become unsustainable.
  • Scale gradually when the customers compared bring healthy contribution and the result holds at higher volume.

Don't declare a winner after two contracts. At low volume, also follow the sales explanations; at sufficient volume, compare the variants under conditions as close as possible and check the uncertainty of the result.

What does a discount actually cost you?

Hypothetical scenario: you sell a project for 18,722 EUR, and variable delivery costs are 13,105 EUR. The contribution before acquisition is 5,617 EUR. A 10% discount lowers the price to 16,850 EUR. If delivery costs the same, the contribution falls to 3,744 EUR: a 33.3% cut in contribution for a 10% cut in price.

To get the same total contribution of 56,165 EUR, you need 15 discounted projects instead of ten at the original price, before acquisition. If each project costs another 936 EUR to win, the contribution after acquisition is 4,680 EUR without the discount and 2,808 EUR with it. For the same total of 46,804 EUR you need 17 discounted projects, rounded up. The calculations assume constant unit costs and enough delivery capacity.

A reduced offer can make sense if it changes the volume, the terms or the costs: a simpler project, a larger order with real savings, standardised delivery or a payment schedule that reduces financing needs. Calculate the full effect before assuming that a better conversion rate makes up for the lost margin.

The question for the sales team: what do we get in exchange for the discount, and how many additional contracts do we need to win and deliver for the decision to be worth it? Price is a profitability variable, not just a tool for closing the deal.

Frequently asked questions

Can I win more customers without changing the product?

Sometimes, by clarifying the offer, relevant proof and a better sales experience. If the product doesn't meet the need, communication cannot permanently make up for the problem.

Does more traffic fix a weak sales rate?

You need to check where the result is lost. More traffic can increase both the opportunities and the cost of a process that works poorly.

Which metric is worth tracking?

For acquisition, the total cost of acquiring a customer, read together with margin and payback time. Leads and the qualification rate explain the intermediate stages.

If you want to understand why the other company gets chosen, start with your last lost bid. Check what the customer compared, what they didn't understand and what proof they were missing. That is where you may find the next intervention worth the budget.

Talk to us about your business ↗
Sources and further reading

[1] ClarSanit case study · [2] RoCredit case study · [3] Lead generation services · [4] Business expansion (all in Romanian). Checked on 11 October 2026. Project results are those publicly reported by DDM, not independent audits or promises for other projects.

Update history

11 October 2026 — Tools for business owners and additional analyses: commercial concentration, publishable proof and the economics of discounting. Accents in the blue of the DDM logo (#2D51A5). Examples and scenarios are marked separately from real data.