Media agency sales · Agentic workflows

Surfacing sales opportunities from campaign reports

A large media agency produces around 320 campaign reports a month, relevant upselling signals stay hidden and the sales team loses revenue.

  • Media
  • Account Management

Key metric

Additional qualified upsell opportunities

4075opportunities

Qualified upsell opportunities per month from campaign reports

At a glance

Initial problem

Sales opportunities stay hidden in reports

Solution type

Agentic workflow for sales teams

Complexity

Transformation

Key metric

More qualified upsell opportunities

User group

Account management and sales

Implementation time

3-6 months

Operating model

Integrated into the agency’s CRM

Starting point

The media agency serves more than 260 active clients from various industries. Ongoing campaigns generate around 320 detailed performance reports a month, with presentations, PDFs and email comments. Consulting and analytics produce them, and handover to sales happens mostly by email or in meetings. Only a few structured fields are maintained in the CRM, such as budget, runtime and status. Hints at possible extensions, budget increases or cross-channel expansions appear almost exclusively in the free text of the reports. Account management spends several hours a day searching manually for signals.

320
Reports per month
260
Active clients

The challenge

The reports are of high professional quality but not structured as a sales tool. Statements about satisfaction, interest in tests or planned product launches are scattered across slides, comments and emails. The sales team has to read, interpret and enter this content into the CRM by hand. With 320 reports a month and an average of 45 minutes of reading each, that is a considerable burden. Many signals are spotted late or not at all, and follow-up offers come too late. At the same time, there is no consistent view of which clients should be approached actively in the coming weeks. Management sees fluctuating renewal rates without a clear overview of missed opportunities.

Typical symptoms in the company

“We read through pages and pages of reports and still don’t have a clear picture of where to act.”

“Upsell ideas come up by chance in conversation, not systematically from the campaign data we already have.”

“We enter notes on launches and budget increases into the CRM by hand and lose important details along the way.”

“In report reviews we discuss performance, but concrete next steps for sales often remain open.”

Why this remained unsolved

The problem had been visible for a long time but was hard to pin down. The reports are considered the agency’s core deliverable, and their structure was optimized from the client’s perspective, not from sales’. A classic BI project would only have evaluated numeric fields, but the decisive signals are in the free text. Rebuilding all templates and maintaining the CRM manually would have been a major project without a clear business case. At the same time, the issue is too big to ignore: every missed renewal costs revenue, yet those responsible saw no practical solution that would work without massive process changes.

Excel lists

One team created manual Excel overviews of renewal opportunities, but maintaining them was laborious and they were dropped after a few months.

Mandatory CRM fields

Additional mandatory fields in the CRM were meant to make opportunities visible, but were filled in inconsistently and quickly lost their value.

Our solution

The agency introduced an agentic workflow that brings together campaign reports, email comments and CRM data and makes them usable for sales. The workflow automatically reads in new reports, detects signals in the free text such as satisfaction, interest in tests, planned launches or budget discussions, and assigns them to the relevant clients. For each campaign, a structured opportunity profile is created with suggested next steps, priority and estimated revenue potential. Sales staff see these profiles directly in the CRM, can review and adjust them and turn them into concrete tasks or offers. The workflow updates status and notes without changing the existing report structure for clients.

Where generative AI comes in

Generative AI understands free text in reports and emails, recognizes statements about satisfaction, interest in tests and planned activities and condenses them into structured opportunity profiles. It drafts suitable next steps and takes nuance, context and client specifics into account to produce realistic, verifiable sales prompts.

Building blocks
  • Automated capture and assignment of campaign reports, email comments and relevant documents in the CRM.
  • Semantic analysis of free text to identify satisfaction, interest in tests, launch plans and budget discussions as opportunity indicators.
  • Generation of opportunity profiles with priority, revenue potential and concrete next steps, integrated into the existing CRM.
  • Approval workflow for sales and account management that allows adjustments and automatically creates tasks and offers.
  • Continuous feedback from won or lost opportunities to gradually improve the detection criteria and suggestions in the workflow.
How it works

How the sales workflow runs

  1. Capture reports

    New campaign reports and relevant emails are detected automatically, assigned to the right clients and prepared for analysis.

  2. Detect signals

    The workflow analyzes free text, flags satisfaction, interest in tests, launch hints and budget signals, and turns them into structured opportunity fields.

  3. Create the opportunity profile

    For each campaign, a profile is created with priority, estimated revenue lever and suggested next steps, visible directly in the CRM.

  4. Sales reviews and acts

    Sales staff review the profiles, adjust them where needed and turn them into tasks, offers or follow-up appointments.

  5. Learning from results

    Results of won or lost opportunities feed back in, and the workflow refines detection and suggestions for future campaigns.

Impact

Measured: after six months in production

Period: after six months in production.

MetricValueBasis
Additional qualified upsell opportunitiesKey metricIncrease of around 88 percent per monthSystem measurementmeasured
Time spent analyzing reportsReduced by around 90 hours per monthTime tracking before/afterestimated
Quality of opportunity profilesQuality measuremanual refinement in 15 to 20 percent of casesSamplemeasured

Cost-effectiveness

Effort class

Standard (60-150 person-days)

Payback period

6-12 months

Main lever

Revenue impact

Running costs

Running costs arise mainly from hosting, model usage and occasional adjustments to new report formats.

Limitation

The solution depends on the quality of the reports and consistent use of the CRM. If signals are only shared verbally or reports are maintained inconsistently, the benefit drops. The workflow does not replace client conversations or active sales work.

Integration and operations

Connected systems

Connection to the agency’s central CRM, the campaign planning tool and the document store for reports and presentations. Optional integration with email systems for comment threads.

Operations

Runs in an isolated cloud environment with tenant separation, either in the client’s data center or in a European public cloud with clearly defined access rights.

Compliance

Client data is processed on the basis of existing contracts, and access is role-based. Logging and audit trails document which reports were analyzed and which opportunity profiles were generated.

Labeling

The CRM clearly marks which fields and profiles were generated automatically and which were added manually, so users can see where the information comes from.

Accountability

Automatically generated opportunity profiles are suggestions, not binding forecasts. Decisions on offers and budgets remain with the responsible sales managers.

Escalation path

If assignments are wrong or suggestions don’t fit, users can flag cases, which are escalated to the responsible product team and IT for correction.

Traceability

For every opportunity, the reports and passages it was derived from are stored traceably. Users can view the underlying passages directly.

Roles in operation

Sales and account management use the profiles in the CRM. Analytics teams provide report templates and feedback on detection. IT looks after interfaces, and governance oversees data protection and access rights.

Transferability

The agentic workflow for spotting sales opportunities in free text fits wherever reports or minutes are rich in signals but not analyzed in a structured way. In other industries, service reports, project minutes or usage statistics can contain similar hints. What matters is that there is a CRM or comparable system in which opportunity profiles can be anchored, and that sales teams are willing to review these suggestions and turn them into concrete activities.

Analyzing service reports in machinery sales to surface spare parts demand.

Analyzing project minutes at IT service providers to spot project opportunities early.

Analyzing usage reports at SaaS companies to trigger upgrades and training in a targeted way.

A similar case in your organization? Let’s talk.

Briefly describe your process. We’ll get back to you with an initial assessment of whether the pattern can be transferred, and what it realistically takes.

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