Campaign Performance Report Assembly
A marketing coordinator spends most of Monday morning logging into HubSpot, Google Ads and Meta Ads Manager separately, exporting each platform's numbers, and pasting them into one master spreadsheet before reformatting it into a slide deck for the 10am leadership meeting. Every platform names the same metric differently, exports on a different schedule, and a formula error from three weeks ago is still silently propagating through the current week's totals. By the time the deck is finished, half the meeting is spent debating whether the numbers are even right rather than deciding what to do about them.
STARTING PRICE
From €299
Standard tier · Multi-step workflow with AI extraction/decisioning and 2-3 integrations.
Get a quote →Saves roughly 4-6 hrs/week for marketing ops or coordinators.
How the automation works
We connect directly to each ad platform's and marketing automation's reporting API, normalize the metric names and date ranges into one consistent schema, and assemble a standing report that refreshes on a schedule rather than getting rebuilt from scratch every week. Spend, impressions, clicks, conversions and cost-per-result roll up by campaign and by channel, with week-over-week and month-over-month comparisons calculated the same way every time instead of by whichever formula survived the last edit. The output lands as a live dashboard link and a Slack summary, with the underlying pull logged so a challenged number can be traced back to its source instead of argued about from memory.
Process flow
- 01
Weekly reporting window opens trigger
A schedule (or a manual Slack command for an ad-hoc pull) triggers a refresh across all connected ad and marketing platforms for the defined reporting period.
- 02
Pull metrics from each platform's API integration
Spend, impressions, clicks, conversions and platform-native cost metrics are pulled directly from HubSpot, Google Ads and Meta Ads Manager rather than exported by hand, eliminating transcription errors.
- 03
Normalize metric names and date boundaries ai
Each platform's naming convention and reporting-day cutoff is mapped to one consistent schema so 'conversions' means the same thing whether it came from paid social or email, and week boundaries align across channels.
- 04
Flag anomalous swings for review ai
A metric that moves sharply outside its normal range — a tracking pixel outage, a budget pacing error — is flagged with the likely cause rather than silently rolled into the headline number.
- 05
Assemble the report output
Normalized data rolls up into campaign- and channel-level views with period-over-period comparisons, published to a live dashboard.
- 06
Distribute summary to stakeholders output
A Slack digest with the top-line numbers and any flagged anomalies goes out ahead of the leadership meeting, with the full dashboard linked for drill-down.
Inputs
- Ad platform API access (Google Ads, Meta Ads)
- HubSpot campaign and contact data
- Reporting period and metric definitions
- Historical baseline for anomaly detection
Outputs
- Normalized cross-channel performance dashboard
- Week-over-week and month-over-month comparisons
- Slack summary for stakeholders
- Anomaly flags with likely cause
Works with
Prefer a fully custom build instead of an off-the-shelf integration? We scope both options during your free consultation — most jobs like this one work fine on standard connectors, but higher-volume or non-standard systems sometimes need bespoke API work, reflected in the complex tier.
Where this goes wrong if you get it wrong
- Attribution double-counting across touchpoints — a conversion that shows in both Google Ads' platform-reported number and HubSpot's multi-touch model gets counted twice if the report simply sums every source's self-reported total, inflating the headline number well past what actually happened.
- Platforms redefine metrics without warning — a change to how a platform counts a 'conversion' or a 'click' mid-quarter will silently break period-over-period comparisons unless the pull is versioned against the platform's own metric definition changelog.
- Currency and timezone mismatches between ad platforms produce numbers that look reconciled but aren't — a campaign spending in USD reported alongside EUR spend without explicit conversion, or a reporting day boundary set to a different timezone per platform, creates totals that are wrong in a way that's hard to spot at a glance.
- Auto-flagging every metric swing as an anomaly trains stakeholders to ignore the flags — the threshold needs to reflect the campaign's normal variance, not a fixed percentage, or real budget pacing issues get lost in noise.
Frequently asked questions
Which ad platforms can this pull from?
Google Ads and Meta Ads Manager are supported out of the box via their native reporting APIs, with HubSpot for owned-channel and CRM-attributed metrics; other platforms can be added if they expose a reporting API.
How do you prevent double-counting a conversion that shows up in two platforms?
We deduplicate against a defined attribution model rather than summing each platform's self-reported total, so a lead counted by both Google Ads and HubSpot's multi-touch model only counts once in the rollup.
Can the report still be edited or does it fully replace the deck?
The dashboard is the source of truth, but a lightweight export to slides or a doc is available for meetings that need a static leave-behind.
What happens if a platform's API is down when the report is due to refresh?
The report flags the missing source explicitly rather than silently showing stale or zeroed data, so nobody mistakes an outage for a real performance drop.