# Marketing Performance Reporting: done-for-you AI automation by BufferSol

> A done-for-you marketing performance reporting automation is an AI agent BufferSol builds to pull spend, clicks, leads and revenue from Google Ads, Meta, LinkedIn, GA4 and your CRM, reconcile them against one set of metric definitions, and write your weekly and monthly report. It explains what moved and why, flags tracking breaks and budget pacing problems, and sends the draft to a marketer for review before it reaches leadership or clients.

- Canonical: https://buffersoltech.com/done-for-you/marketing/campaign-reporting
- Category: Marketing
- Provider: BufferSol Technologies (New York; serving the US, UK, Ireland, Canada and the EU)
- Timeline: live in 3 to 6 weeks
- Pricing: quoted after a short scoping call

## Marketing reports that build themselves and explain what changed and why

**Who it is for:** In-house marketing teams and agencies running paid and organic campaigns on several platforms who rebuild the same reports in spreadsheets or Looker Studio every week.

### Signs you need it
- Monday mornings go to exporting CSV files from ad platforms
- Leadership asks why CRM lead counts never match the ad platforms
- A broken tag or UTM goes unnoticed for weeks
- Client or board reports are screenshots pasted into slides
- Nobody can say quickly which campaign produced pipeline last quarter

## Business outcomes
- **One version of the numbers.** Spend, leads, pipeline and revenue are reconciled against agreed definitions, so meetings start with decisions instead of arguments about whose figure is right.
- **Reports that explain themselves.** Each report says what changed, which campaigns drove it and what the team plans to do next, in plain English.
- **Problems caught in days.** Tracking breaks, overspend and sudden cost jumps raise alerts long before the month-end review would have found them.

## How it works today
1. An analyst exports data from Google Ads, Meta Ads Manager, LinkedIn Campaign Manager and GA4
2. Exports go into a Google Sheet or through a connector such as Supermetrics into Looker Studio
3. Lead and revenue numbers are pulled separately from HubSpot or Salesforce and matched to campaigns by UTM by hand
4. Charts are screenshotted into slides and commentary is written the night before the meeting
5. Questions raised in the meeting trigger new one-off pulls that take another day

Hidden costs:
- Analyst hours spent rebuilding the same report instead of improving campaigns
- Budget decisions made on numbers that disagree between platforms and the CRM
- Spend wasted on campaigns that broke or overspent between reports

## How it works done for you
1. The agent pulls daily data from your ad platforms, GA4, CRM and data warehouse through their APIs
2. It applies one metric dictionary: what counts as a lead, an MQL, pipeline and attributed revenue, and how UTMs map to campaigns
3. It checks for anomalies such as missing conversions, tag breaks, spend spikes and pacing against budget, and alerts the channel owner in Slack
4. Each week and month it builds the report in Looker Studio, Google Slides or your BI tool and writes a plain-English summary of what changed and the likely reasons
5. A marketer reviews the narrative, adds context and approves it; only then is it sent to leadership or clients
6. Every number links back to the query that produced it, and every edit to the narrative is logged

## What changes for the team
- **Marketing analyst.** Today: Exporting files, fixing UTMs and rebuilding the weekly deck Done for you: Investigating why a channel moved and designing tests
- **Head of marketing.** Today: Defending numbers that don't match the CRM in leadership meetings Done for you: Arriving with a reviewed report and a clear story about what to change
- **Agency account manager.** Today: Losing the first days of every month to client reports Done for you: Reviewing drafts quickly and spending the time on strategy calls

## KPIs we measure
- **Hours spent on reporting:** Team time logs for two weeks before launch compared with two weeks after go-live
- **Report delivery time:** Working days after period end until the approved report is sent
- **Platform versus CRM discrepancy:** Gap between ad platform conversions and CRM leads per campaign, tracked weekly
- **Time to detect tracking breaks:** Time from a tag or conversion break to the alert, taken from the anomaly log
- **Follow-up data requests:** Count of extra data requests raised after each report, before and after launch

## Industry data
- 33%: of B2B marketers name measuring content effectiveness as a top challenge (2026 report) ([Content Marketing Institute](https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research))

## Systems it connects to
Google Ads, Meta Ads Manager, LinkedIn Campaign Manager, Google Analytics 4, HubSpot, Salesforce, BigQuery, Looker Studio, Google Slides, Slack

## Guardrails
- Read-only access to ad platforms; the agent never changes bids, budgets or campaigns
- Every figure in a report links to the query that produced it
- Reports reach leadership or clients only after a named reviewer approves them
- Metric definitions are versioned, so any change in method is visible and dated
- Agency client data is kept separate per account with its own access rules

## What teams say about this work
- Reviewers of a popular marketing data connector report queries failing as data sources change their connections, and reports that had to be rebuilt after a plan change. ([Trustpilot](https://www.trustpilot.com/review/supermetrics.com))
- Reviewers of an agency reporting platform describe a buggy app that struggles with nuanced marketing reports, and support tickets that take days or weeks to resolve. ([Trustpilot](https://www.trustpilot.com/review/agencyanalytics.com))
- Analysts describe teams building the same metrics separately, so figures like revenue differ across dashboards and reports and meetings turn into reconciliation work. ([OWOX](https://www.owox.com/blog/articles/analysts-guide-managing-one-off-ad-hoc-requests))
- B2B marketers name measuring content effectiveness as one of their top challenges, alongside limited time, people and budget. ([Content Marketing Institute](https://contentmarketinginstitute.com/b2b-research/b2b-content-marketing-trends-research))

## Delivery: live in 3 to 6 weeks
1. Week 1: discovery, access and a baseline of today's numbers.
2. Weeks 2–3: build the agents and connect your systems, with your rules and approvals.
3. Weeks 3–5: test on your real history, then pilot on live work with your team reviewing.
4. Weeks 4–6: staged go-live, training, dashboards and handover.

## Executive Ask questions for this workflow
- Which campaigns produced pipeline last month, and what did each cost per opportunity?
- Why did lead volume drop last week: a tracking problem or real demand?
- Are we on pace with this quarter's ad budget across Google, Meta and LinkedIn?

## Frequently asked questions
### How long does it take to automate our marketing reports?
Most teams are live in 3 to 6 weeks. We connect your ad platforms, analytics and CRM, agree the metric dictionary with marketing and finance, and rebuild your current report so it matches what you produce today. Then we run both side by side for a few cycles. Once the numbers tie out and the narrative is useful, the manual version is retired.

### What does marketing reporting automation cost?
We provide a quote after a short scoping call. It depends on how many platforms and accounts we connect, whether you already have a warehouse such as BigQuery or Snowflake, how many report formats you need, and for agencies, how many client accounts are included. You receive a fixed written scope before any build work begins.

### Which attribution model do you use?
Yours. We document how your team counts leads, pipeline and revenue today, point out where platforms and the CRM disagree, and agree one set of rules before the build. Many clients report platform-reported conversions alongside CRM-sourced pipeline so both views are visible. If you change the model later, the change is versioned and dated in every report.

### Can the agent change our ad budgets?
Not by default. The agent has read-only access to ad platforms and only recommends changes, such as pausing a broken campaign or shifting budget between ad sets. If you want it to act, we can add specific actions that a named person must approve each time in Slack or Teams, with spending limits and a full log of what changed.

### Do we need a data warehouse first?
No. For smaller setups the agent reads directly from platform APIs and stores a clean daily snapshot. If you already use BigQuery, Snowflake or Redshift, we build on top of it so reports and dashboards share the same tables. During scoping we recommend whichever option fits your data volume and the tools your analysts already know.