This case study describes work Manika Gupta led in-house in a previous role. The company is not named.
At a glance
| Company | A global banking-technology provider selling software to financial institutions |
| Team | Marketing working with stakeholders in the US, UK and other regions |
| Challenge | Data in separate tools, slow reporting and spend decisions made case by case |
| Approach | One dashboard across web, campaign and CRM data, plus budget guardrails |
| Result | Faster, data-backed recommendations and consistent campaign spend decisions |
The challenge
Marketing performance lived in different places: website analytics, the CRM, ad platforms and spreadsheets. Answering a simple question such as "Which campaigns are bringing engaged visitors who go on to fill in a form?" meant pulling exports from several tools and stitching them together by hand.
A formal dashboard was planned through a central reporting team, but the expected timeline was several weeks. In the meantime, leadership needed answers, and campaign budgets were adjusted case by case without shared rules.
The approach
1. Agree the questions first
Before building anything, the team agreed which decisions the dashboard needed to support: where to shift budget, which content to promote, and which campaigns to pause.
2. Bring the data together
Web analytics, CRM reporting and campaign data were combined in Excel and Power BI, using basic SQL and Salesforce reports where needed.
3. Design for trends, not snapshots
The dashboard tracked users, bounce rate, engaged visits and form submissions over time, with week-over-week, month-over-month and quarter-over-quarter comparisons, so the team could spot what was improving and what was slipping.
4. Add budget guardrails
A modular budget management system set spending limits for each ad set and performance benchmarks for each campaign. When a campaign moved above or below its benchmark, the guardrails made the next step clear.
The result
- One view of performance across web, campaign and CRM data
- Delivered in a fraction of the planned time, so leadership had answers sooner
- Data-backed recommendations for leadership and execution teams every week
- Consistent spend decisions, guided by shared limits and benchmarks rather than case-by-case debate
Key takeaways
- Start a dashboard from the decisions it must support, not from the data available.
- Show trends over time, so teams act on direction rather than a single snapshot.
- Pair reporting with budget guardrails, so insight becomes action.
- A focused, practical dashboard delivered quickly is worth more than a perfect one delivered late.