The Marketing Data Problem Starts Before the Dashboard

Advertising platforms, CRM systems and sales departments count leads, customers and opportunities differently. Without consistent records, companies struggle to establish which marketing activities generate sales and where their budgets are best spent.

A technology company’s monthly marketing report shows 180 conversions in Google Ads, 112 new leads in its CRM system and 19 sales opportunities. Management wants to know how effectively those leads are turning into business. The figures offer no reliable answer. Some of the opportunities began months earlier, while the CRM includes enquiries from referrals and organic searches. Dividing 19 by 112 would produce a conversion rate based on two unrelated groups of customers. In Salesforce’s State of Sales, Seventh Edition, published in 2026, 46% of sales professionals whose teams use AI agents reported that poor data quality was hurting sales.

Why marketing systems disagree

Google Ads allows advertisers to count one conversion or every conversion associated with an eligible advertising interaction. Conversion windows determine how long campaigns receive credit for subsequent actions, while attribution settings govern how that credit is distributed. A prospect submitting two enquiry forms after clicking an advertisement might generate one recorded conversion or two. Google Ads and Google Analytics also produce different results when their reporting dates, conversion definitions or attribution settings differ. The CRM follows its own rules. Someone who downloads a technical document and returns two weeks later to request a demonstration generates another conversion in the advertising platform. The CRM simply updates the existing contact.

Purchasing decisions at financial institutions typically involve several departments. At a Swiss bank evaluating portfolio-management software, investment managers, IT specialists, compliance officers and procurement staff may all contact the supplier, request information or attend meetings. Marketing systems can register each employee as a separate lead, even though all are involved in the same potential contract. Linking these contacts to the bank in the CRM gives marketing and sales teams a more accurate picture of the opportunity and its progress.

The cost of inaccurate reporting

Consider a B2B technology company spending CHF 30’000 on advertising. Its campaign produces 150 recorded leads, including 12 that become qualified sales opportunities. Assuming those opportunities originated from the campaign, the reported cost per lead is CHF 200 and the cost per qualified opportunity is CHF 2’500. During a CRM review, employees discover 30 duplicate records, existing customers and invalid enquiries. The number of valid new leads falls to 120, raising the cost per lead to CHF 250.

The original report overstated the number of prospective customers acquired. Management had been comparing campaign performance using an inaccurate figure. Such discrepancies influence decisions about where to spend money. An online campaign might produce hundreds of inexpensive leads, most of which never develop into serious enquiries. A specialist financial technology conference might deliver fewer contacts at a higher cost but introduce sales representatives to banks with active purchasing plans. Cost per lead favours the advertising campaign. Cost per qualified opportunity and subsequent sales offer a more meaningful comparison. Customer acquisition cost requires another calculation: the agreed acquisition expenditure divided by the number of new customers won. In enterprise software and financial technology, completing a contract takes months, making it difficult to connect a sale to the marketing expenditure that preceded it.

Sales cycles rarely fit monthly reports

A bank signing a software contract in October may have contacted the supplier in March, attended a webinar in June and requested a demonstration in August. Technical assessments and contract negotiations followed. The October sales report records the completed contract, but the original lead belongs to March. Cohort-based reporting allows companies to follow customers acquired during the same period through the sales process. A fintech provider might track all accounts first acquired through marketing in the first quarter, recording which subsequently request demonstrations, become qualified opportunities and sign contracts. Comparing these groups over time shows where prospective customers drop out. A large number of enquiries followed by few demonstrations warrants an examination of lead quality and qualification. When demonstrations generate little business, pricing, technical requirements or competitors deserve closer attention. Existing customers purchasing additional services and previously rejected opportunities that reopen also need to be recorded separately. Otherwise, new business, repeat purchases and renewed negotiations become mixed together.

Marketing and sales need common definitions

HubSpot and other CRM platforms provide stages for tracking commercial progress, including marketing-qualified leads, sales-qualified leads, opportunities and customers. Businesses can adapt the stages, but employees must agree on the criteria. Marketing might qualify a senior employee at a financial institution after the person downloads product information. A sales representative subsequently discovers that the institution has no approved budget or active project. If management measures marketing performance through qualified leads, the disagreement affects the results. Rejection reasons deserve similar attention. A customer without funding presents a different problem from one that considers the product unsuitable. A postponed purchasing decision may produce a contract six months later. Responsibility for the records sits across several departments. Marketing operations manages campaign tracking and acquisition sources. Sales operations maintains customer records, opportunity stages and qualification rules. Finance reconciles expenditure with sales and revenue. Changes to those rules need to appear in management reports. A fintech provider that tightens its qualification criteria in September may record fewer qualified leads in October despite receiving the same number of enquiries. Comparing the new figure directly with earlier months would suggest declining demand. Replacing CRM software, merging duplicate contacts or changing advertising settings can have similar effects on historical figures.

Reliable records require regular checks

Customer information reaches businesses through advertising, conferences, website forms and direct enquiries. Sales representatives update opportunities and meeting records, while software integrations transfer information between platforms. Incorrect field mapping might assign the wrong acquisition source to hundreds of contacts. Missing company identifiers can leave several employees from one institution recorded as unrelated prospects.

Marketing and sales teams need to check duplicates, incomplete records, account relationships and differences between systems. Completed deals must also match actual commercial outcomes. Personal information brings legal obligations. Switzerland’s Federal Act on Data Protection and, where applicable, the EU’s General Data Protection Regulation govern how companies process and retain customer information. Access controls, lawful processing and accurate records belong in the data-management process. Even after the records have been corrected, attribution remains an imperfect measure of marketing performance. A customer may encounter several advertisements, attend an industry event and speak with sales representatives before signing a contract. Attribution models distribute credit among those interactions according to predefined rules. Establishing whether advertising generated additional sales requires separate evidence, such as an incrementality test comparing outcomes with and without the advertising activity.

When acquisition costs rise, management needs to establish whether advertising prices have increased, fewer enquiries are becoming customers or contracts are taking longer to close. A campaign producing fewer leads may still earn a larger budget if those customers generate higher revenue. The necessary evidence lies in the customer records, campaign expenditure and sales history that feed the report.

Exporis Insight: Improving Marketing Data Quality

Conversion tracking: Check which actions advertising platforms record, how conversions are counted, and which attribution settings and reporting dates apply.

Lead definitions: Establish agreed criteria for qualified leads, sales opportunities and customers. Record changes to those definitions.

Customer accounts: Link employees involved in the same purchasing decision to their organisation.

Sales cycles: Track leads acquired during the same period through subsequent sales stages. Keep new business separate from repeat purchases.

Campaign costs: Calculate cost per lead, cost per qualified opportunity and customer acquisition cost separately, using consistent expenditure figures.

Responsibility: Assign ownership of campaign tracking, CRM records, sales qualification and financial reporting.

Historical comparisons: Document changes to tracking settings, CRM stages and reporting methods that affect previously reported figures.

Data quality: Check for duplicate contacts, missing information, incorrect account relationships and discrepancies between systems.

Privacy: Review the legal basis for processing customer information, access permissions and retention periods before combining databases.