What is the regional ad budget allocation app?
Compare the ad spend in each region with the pipeline it influenced, then rank regions by pipeline per unit of spend. Regions above the average can take extra budget, and weak regions can fund it. This ties budget decisions to evidence. The regional ad budget allocation app does this for native ad spend over the last two complete calendar quarters.
Opens the live app on demo data. No sign-up needed. On your own N.Rich account, it reads accounts and deals from HubSpot or Salesforce.
- An animated hero The average influenced pipeline per unit of spend, drawn as a grid of squares that splits onto a world map by region. Cards beside it show the biggest rise and the biggest fall.
- Highlights and a modelled budget view Cards for the strongest and weakest regions and segments. Two tabs show where extra budget works hardest and which weak groups could fund it. The app labels these as modelled estimates, not forecasts.
- Region and segment tables Verdict tags, trend arrows, a detail panel for each group and CSV export. A written summary and method notes sit below.
- Built for
- Marketing, Leadership
- Category
- Pipeline & revenue
- Reads from
- N.Rich and your CRM (HubSpot or Salesforce)
- Built by
- N.Rich
- Cost
- Free on demo data. No credit card.
Prompt to build it
Prompt
I'm the CMO, and I need to decide where next quarter's account-targeted ad budget should go, and which weak groups could fund it. Build me a 'Regional Spend Pipeline Optimizer' app. Compare native ad spend with influenced pipeline, by region and by segment, over the last two complete calendar quarters. Split each campaign's daily spend across the accounts it reached, in proportion to their share of impressions. A deal is influenced when it was created in the window and its account had an engagement touch in the 90 days before. The main measure is influenced pipeline per unit of spend, judged against the average. Judge a group only when it has 5 or more influenced deals and at least 1% of spend. Never estimate missing data, and say so in words. Open with an animated hero: the average return as a grid of squares that splits onto a world map by region. Add highlight cards for the strongest and weakest groups and the biggest rises and falls. Add a modelled view of where extra budget would work hardest and which weak groups could fund it, labelled as estimates, not forecasts. Add region and segment tables with verdict tags, trend arrows and CSV export, plus a detail panel for each group. Include a window picker, a pipeline picker and a presenter mode.
Results may vary. N.Rich AI can build a different version of the app from the same prompt.
Change the prompt to fit your team, then build your own in the N.Rich AI playground. Build your own
What questions does the regional ad budget allocation app answer?
How do I compare ad spend with pipeline by region?
Split each campaign's spend across the accounts it reached, add the pipeline from deals at those accounts, then divide pipeline by spend for each region. Compare each region with the overall average. This shows where a unit of budget returns more or less than usual, so budget talks start from evidence. The regional ad budget allocation app does this by region and by segment.
In the app: Header and heroWhich regions should get more ad budget?
Give extra budget to regions that return more than average and have enough deals to judge. A small region can look strong by chance, so the deal count matters. Without that check, budget can follow noise. The regional ad budget allocation app judges a group only with 5 or more influenced deals and at least 1% of spend, then models where the next budget would work hardest.
In the app: Where extra budget works hardestWhere can I cut ad spend without losing much pipeline?
Look for regions that spend a lot and return less than average, or spend with no influenced pipeline. Moving their budget costs the pipeline they return at their own rate, so show that loss next to the gain. This keeps a cut from hiding a real loss. The Fund it from tab in the regional ad budget allocation app lists up to 4 weak groups, lowest return first.
In the app: Fund it from tabWhat does influenced pipeline mean for ad spend?
A deal is influenced when its account engaged with an ad before the deal was created. It means the ad came before the deal, not that it caused it. Impressions alone do not count. Clear wording stops results from being oversold. The regional ad budget allocation app counts a deal as influenced when its account had an engagement touch in the 90 days before creation.
In the app: Hero and method notesHow do I rank regions by return on ad spend?
Divide influenced pipeline by ad spend for each region and compare the result with the overall average. Tag each region as outperforming, on par or underperforming, and keep a separate tag for regions with too few deals. Tags let a team scan a long table quickly. The regional ad budget allocation app tags a region outperforming at 1.25 times the average or more.
In the app: Region tableHow can I show regional ad results in a meeting?
Open on the average return, then split it by region, so people see the spread before the detail. This keeps a room on one story. Large type helps too, because people read from a distance. The regional ad budget allocation app opens with an animated grid of squares that splits onto a world map, and it has a Presenter mode toggle.
In the app: Hero and Presenter mode
What data does the regional ad budget allocation app use?
From N.Rich
| Source | What the app reads | Where you see it |
|---|---|---|
| Native ad delivery | Daily impressions and spend for each campaign, by account | Account-targeted ad spend and coverage |
| Ad engagement | Engagement touches by account in the 90 days before a deal | Which deals count as influenced |
| Segments | Active account and firmographic segments, with the ICP flag | The segment table and segment budget |
From your CRM HubSpot or Salesforce
| Source | What the app reads | Where you see it |
|---|---|---|
| CRM accounts | Home country for each account | Region grouping |
| CRM deals | Created date, value, pipeline, net-new flag and sales region | Influenced pipeline and the pipeline picker |
| Exchange rates | Rate from USD to your reporting currency | The currency label next to every figure |
In the playground, every source holds demo data.
How does it work?
- You write one prompt, shown below. The app splits each campaign's daily native ad spend across the accounts it reached, in proportion to their share of impressions. The part tied to named accounts is account-targeted ad spend.
- A deal is influenced when it was created in the window and its account had an engagement touch in the 90 days before. The window is the last two complete calendar quarters.
- The main measure is influenced pipeline per unit of account-targeted ad spend. Each region and segment gets a verdict against the overall average. A group is outperforming at 1.25 times the average or more, and underperforming below 0.6 times.
- A group is judged only with 5 or more influenced deals and at least 1% of spend. Only judged groups can be named strongest or weakest, or receive budget.
- The hero grid splits onto a world map by region. The budget view splits a next budget across judged groups that are on par or better, in proportion to their return. A Fund it from tab moves all or half of the spend from up to 4 weak groups.
Before you start
Is it free?
Yes. Every app runs free in the N.Rich AI playground on demo data. You do not need a credit card.
Do I need my own data?
No. The playground runs on a demo dataset, so you can try the app before you connect your own data.
Which CRMs does it work with?
On your own N.Rich account, apps read accounts and deals from HubSpot or Salesforce.
Can I change it?
Yes. Ask N.Rich AI to add a column, change a filter or focus on one segment, and it rebuilds the app.