Daily data rounded into months
It aged out of the window.
BoldBellowsLinkedIn Ads reporting automation for B2B teams that report spend against pipeline
LinkedIn Ads reporting automation that pulls campaign and creative results on a schedule, re-reads delayed figures and keeps daily data after LinkedIn lets it go
Campaign Manager shows a screen and an export, but the ad analytics endpoint has rules of its own: up to 20 metrics per request, no more than 15,000 rows back and no pagination at all. BoldBellows binds the Page, the URN and the event into one reference, waits for a second read when the notification and the object disagree, then splits your report into requests that fit, pulls them by campaign and creative for each day, re-reads the professional demographic figures after their 12 to 24 hour delay and writes everything to a table you own, so daily history survives past the six months LinkedIn keeps it.
View Pricing
One-off setup from $1,060
No monthly subscription
- Automate LinkedIn Ads reports
- Daily history kept
- Delayed figures re-read
- Requests that fit 20 metrics, 15,000 rows
- Delay respected figures re-read
- History kept past six months
- Reconciled to the spend in Campaign Manager
- Scoped access Credentials are limited to the objects in scope and can be revoked
- No meter running $1,060 covers design, build, tests and handover; nothing accrues afterwards
Chapter 01 the vanishing-history problem
An export each Monday holds this week's figures and lets last quarter's disappear
LinkedIn keeps daily data for six months and monthly data for two years, so a quarterly review in the second half of the year finds the early days rounded into months. A report asking for too many metrics or too many rows is truncated without much fuss, demographic figures keep changing for a day after the campaign, and the number in the board deck rarely matches the number in the invoice.
The board deck matched the invoice for the first time in a year.
A report that silently left rows out
The row limit was reached.
Figures that changed after the meeting
Demographic data was late.
Before
After
Before
- Every hook delivery becomes a write
- Someone exports a CSV each Monday
- Daily history is lost after six months
After
- Identity is fixed by the ad account, the campaign, the creative and the report date and never re-guessed
- Results are pulled on a schedule and stored
- Delayed figures are re-read before they are trusted
Chapter 02 How it works
How an ad account becomes a dated, reconciled table of results
Every step has a check before it, so a fault stops the run instead of spreading.
Check it is real and in scope
The LinkedIn notice is validated, the underlying record is read, and only a qualifying Company Page event moves on.
Plan, pull, split
The route reads your campaigns and creatives, plans requests of no more than 20 metrics and pulls them by day.
Wait, correct, reconcile
Delayed figures are re-read, corrections are written in place, and spend is compared with the account total.
Technical facts behind the route
- Twenty metrics, fifteen thousand rows: The ad analytics endpoint takes up to 20 metrics per request, returns at most 15,000 elements and does not paginate, so the route splits a wide report into several narrow requests and narrows the date range before it asks.
- Fifteen thousand rows, no pages: The ad analytics endpoint returns at most 15,000 elements and does not paginate, so a long date range is cut into shorter ones before the first request is sent.
- Lookups before retries: The ad account, the campaign, the creative and the report date is the route's way of asking reports whether the work is already done.
Chapter 03 What ships in the build
The LinkedIn reports route, one capability at a time
Signal answers whether this should happen. Control answers what exactly gets written. Reconcile answers whether it is still right next month.
Intake rule reader
Interprets the LinkedIn payload against the intake rule and stamps the decision on the ledger.
Stable identity ledger
Keeps a durable pointer from each LinkedIn record to the Ads Reporting item it produced.
Map change log
Records every change to the field map, so a later question about a reports value has an answer.
Pull planner and writer
Plans requests that fit the limits and writes each result row.
Creative-and-date matcher
Keeps a repeat from becoming a second report row by checking the ad account, the campaign, the creative and the report date before the write.
Metric and window matrix
Decides which metrics, pivots and date windows each report uses.
Reporting register
Measures how far each report row has slipped from the LinkedIn record and reports it.
Delay and drift monitor
Flags figures still inside the reporting delay or a metric LinkedIn has renamed.
Failure ledger
Records every failed or refused write to reports with its cause and what was done.
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Chapter 04 Who this fits
Where manufacturers selling to other businesses need to pull LinkedIn Ads results into a table you own on a schedule, with the figures re-read after LinkedIn's reporting delay and kept past its retention window
LinkedIn Ads is where B2B budgets go. The numbers need a home that does not expire.
Demand generation lead
"I need the trend by creative."
Daily rows by creative are kept, so trends survive the window.
Marketing analyst
"Why do the numbers move?"
Corrections are written in place with the time they changed.
Finance lead
"Does spend match the invoice?"
A weekly reconciliation compares both.
Agency account manager
"Each client has an account."
Every ad account has its own table and token.
CMO
"Give me one page."
The summary comes from stored rows, not a screenshot.
Sales operations lead
"Which campaign made pipeline?"
Rows carry campaign IDs that join to the CRM.
Chapter 05 The options
Where a weekly CSV export from Campaign Manager and zaps stop, a scheduled reporting route begins
Each can export a report. Only one respects the request limits, waits for late figures and keeps the history.
| Question | a weekly CSV export from Campaign Manager | A typical trigger-and-action zap | A BoldBellows scheduled reporting route |
|---|---|---|---|
| What starts the work | The next person to look | Each delivery, repeats included | Rule-approved events, logged with the reason |
| How identity is decided | Guessed from context | A single field treated as the key | One key: account, campaign, creative and date |
| What reaches reports | A few fields, entered late | A copy without context | A dated row per creative, re-read after the delay and reconciled |
| After an uncertain result | Open both apps and compare | Runs again from the start | Matches on the ad account, the campaign, the creative and the report date, then repairs or holds |
A late arrival
Events that reach the route after a newer one are recognised by timestamp and routed for review instead of applied, for this LinkedIn Ads Reporting service.
A campaign is reviewed eight months after it ended
The daily rows were written while LinkedIn still held them, so the review sees each day instead of eight months rounded into one. Finding the report row comes first: the ad account, the campaign, the creative and the report date is searched, the hit is compared, and only then is an action chosen. Writing a fresh report row is the last option, reserved for proven absence.
Nothing is written to reports until the ad account, the campaign, the creative and the report date is defined and stored for each report row.
Interlude Where the money goes: campaigns, creatives and report dates
Set the scope, see the reports price, pick your speed
The entry route is $1,060.
View Pricing
One setup fee · Range shown first
Pricing
Build your LinkedIn to Ads Reporting price
Pick a package, answer three short questions about how LinkedIn data should reach Ads Reporting, and your price and turnaround move as you choose.
Chapter 06 The process
Six steps from a Monday export to a durable record
Each of the six steps has an output you can read, not just a status update.
-
About 30 minutes
Map the accounts
We list your ad accounts, the campaigns and creatives to report on and the metrics each audience needs.
-
Access review
Approve access
We set up the LinkedIn read side and the Ads Reporting write side, and note every permission requested.
-
Most of the project
Agree the table and the checks
The table layout, the reconciliation tolerance and the re-read schedule are agreed in writing before the first pull.
-
Before you review
Stress the edges
Late deliveries, doubled events and partial failures are simulated in a test reports and the results reviewed with you.
-
Handover day
Launch with notes
The last step is release: a defined start, a review window and a PDF you can keep.
-
About 30 minutes
Post-launch review
We go through the exception list and the checkpoint log with you and agree what, if anything, needs a change.
Chapter 07 Turnaround
How long the Ads Reporting packages take
The countdown begins when LinkedIn and Ads Reporting are both connected.
Signal
6 to 10 business days
Control
10 to 16 business days
Reconcile
16 to 24 business days
Chapter 08 Getting started
What we ask of you
Authorisation to reach the LinkedIn objects in scope
Read access to each LinkedIn ad account through an approved app, a table or warehouse to write to and the reporting calendar
Access to the LinkedIn account that holds the records in scope
Your expected behaviour for edits, cancellations and repeats
The hours when changes to reports are safest to release
Records or dates that the route should ignore
Chapter 09 Trust
Narrow permissions, narrow payloads, nothing patched
You decide which LinkedIn data may travel and where in Ads Reporting it lands; the route cannot see or do more than that.
Untouched core, documented edges
Both LinkedIn and reports are used as their own documentation describes; no workaround reaches into their internals.
Scoped, revocable access
Permissions are written down, minimal and reversible.
Nothing extra travels
The route forwards what was agreed and ignores the rest, so reports never becomes a second copy of everything in LinkedIn.
Proof before repetition
Nothing is created twice: a missing confirmation triggers a search of reports by the ad account, the campaign, the creative and the report date before any further write.
Minimal logging
Evidence of a run is kept as references, not as copies of data.
Full handover
The PDF names each rule, credential and owner so your admins are never guessing.
"A figure is only final once LinkedIn has stopped revising it, so the build waits out the delay before it marks a day closed."
Steven GrratFounder, BoldBellows
Chapter 10 In their words
What BoldBellows clients say
Verified reviews from business owners who use BoldBellows automations every day, from marketing and data to support and operations.
AI CRM Automation
Our CRM was barely used because updating it by hand was tedious. BoldBellows automated data entry, tagging, segmentation and follow-ups.
Now the CRM is always up to date and our campaigns are far more accurate. It improved our whole sales pipeline.
AI Data Entry & Reporting Automation
We used to spend hours collecting data and building weekly reports by hand. BoldBellows automated all of it.
The reports are clean, visual and easy to read, and our managers rely on them for quick decisions. Human error is gone and our numbers are more accurate across the board.
AI Document & Contract Automation
Onboarding was slow because we wrote every contract by hand. BoldBellows automated the lot: contracts, welcome emails and client setup.
What took 48 hours now takes under 10 minutes, and clients regularly tell us how professional it feels.
AI Social Comment & DM Automation
We get thousands of comments and messages every week. BoldBellows built an AI system that replies instantly, filters spam and surfaces the important ones.
Engagement is up and our page looks active around the clock. It’s like having a full social media team that never stops.
AI Voice Assistant
BoldBellows built a custom AI voice assistant for our customer hotline. It answers questions, books appointments and handles simple requests.
Customers love how fast it is, and our call-centre workload dropped dramatically. One of the smartest upgrades we’ve made.
AI Automation Partner
BoldBellows is hands-down the best AI automation partner we’ve worked with. Their systems are fast, reliable and built around how our business actually works.
Every automation they’ve delivered, from customer service to content, runs flawlessly. We’ve saved time, cut costs and grown faster than we expected.
AI Chatbot & Customer Support
BoldBellows built an AI support chatbot for our online boutique, and it has changed how we run the business. We used to have two full-time staff answering the same questions all day. Now the AI handles order tracking, product recommendations and even refund requests on its own.
What surprised me most is how natural it sounds. Customers compliment the ‘agent’ without realizing it’s AI. Our support workload dropped by 75% and customer satisfaction went up dramatically.
AI Content & Social Media Automation
Our marketing agency couldn’t keep up with content. BoldBellows set up an AI content engine that writes blog posts and captions and even designs our social media creatives.
It spots trends and suggests topics for us, so we stay ahead of competitors. We now produce three times the content with the same team, and engagement has soared. They didn’t just automate our workflow, they lifted our whole brand.
AI Lead Qualification & Sales Automation
Our sales team wasted hours chasing cold leads. BoldBellows built an AI lead-scoring system that reads behavior, email engagement and buying signals.
It filters out weak leads and sends personalized follow-ups automatically, so our team only talks to people who are ready to buy. Conversions rose 40% in the first month. It paid for itself straight away.
AI Video & Voice Automation
We publish product videos every week, and BoldBellows introduced us to AI video automation. The system writes the script, voices it and produces the finished video in minutes.
The quality is remarkable: professional voiceovers, clean visuals and smooth editing. Production time went from three days to under 30 minutes, and we scaled our video marketing without adding cost.
AI Email & Smart Inbox Management
Our inbox used to be chaos. BoldBellows built an AI email system that sorts messages, drafts replies and flags anything urgent.
It learns how we write and gets better every week. We reply faster and no longer miss important messages. It feels like having a personal assistant working around the clock.
AI Workflow Automation for Agencies
Running a digital agency with many clients was overwhelming. BoldBellows built one automation dashboard that tracks tasks, sends updates and creates client reports automatically.
Clients love the transparency and we love the time we get back. Productivity is up, and project delays have dropped to almost zero.
AI Booking & Scheduling Automation
Our coaching business needed a better way to schedule. BoldBellows automated all of it: bookings, reminders, cancellations and follow-ups.
No-shows fell by 60% and clients enjoy how smooth it is. It feels personal, not robotic. One of the best upgrades we’ve made.
AI Translation & Localisation
When we expanded abroad we needed fast, accurate translations. BoldBellows built an AI translation system that turns our content into several languages instantly.
The translations read naturally and suit each culture. We now serve customers in five new countries without hiring translators. BoldBellows helped us go global.
AI HR & Recruitment Automation
Our HR team was drowning in applications. BoldBellows automated screening, skills-based filtering and interview scheduling.
It saves us hours every week and means we only interview qualified people. Hiring is now faster, better organized and more professional.
AI Accounting & Invoice Automation
BoldBellows automated our whole invoicing process: creating invoices, sending reminders and tracking payments.
Late payments dropped sharply, and our accounting team finally has time for strategy instead of repetitive admin. Worth every penny.
AI E-commerce Listings Automation
BoldBellows automated our product listings. The AI writes descriptions, organizes photos and publishes listings across several marketplaces.
It even answers customer questions instantly. Our store looks more professional and sales have noticeably increased.
AI Customer Journey Automation
We wanted a smoother path from first contact to purchase. BoldBellows built an AI system that guides each customer there automatically.
It sends personalized messages, recommends products and follows up at just the right moment. Customer retention has improved dramatically.
Chapter 11 Questions
LinkedIn Ads reporting: what B2B marketers ask
We collected the questions that decide most purchases and answered them.
Where does a LinkedIn to Ads Reporting Zapier approach fall short?
A zap can provide LinkedIn Ads numbers that stay put. It is not built to split a wide report into requests LinkedIn will answer, wait for delayed demographic figures or keep daily data past six months. The work here is the judgment around the connector, not the connector itself.
Why not schedule Campaign Manager exports?
They cover one view at a time and the history ages out, while the route stores daily rows by creative.
How many metrics can one request hold?
Up to 20, so a wide report is split into several requests and joined afterwards.
Why are some figures late?
Demographic metrics can lag by 12 to 24 hours and video watch time by up to 48, so the route re-reads them.
How long is daily data kept by LinkedIn?
Six months for daily detail and two years for monthly, which is why the route copies it.
Does it change campaigns?
No. It only reads.
Where does the table live?
In whichever warehouse, sheet or database you already run.
Who decides which fields go where?
Yes. Before building we run the LinkedIn Ads Reporting field mapping service, which documents types, required fields and exclusions on both sides for your approval.
What about unusual cases in our process on the LinkedIn Ads Reporting service?
Yes. Splitting by owner, stage or size yields a bespoke LinkedIn workflow for Ads Reporting. It works like hiring a LinkedIn Ads Reporting integration consultant who also builds, from $1,060.
Is the route safe when the tools update in the LinkedIn Ads Reporting service?
The handover lists every interface the route uses. If one changes, the affected item stops and is flagged instead of being written from a guess. Repairs after your review window are quoted separately.
Give your reports a record that outlasts the portal
To automate LinkedIn data to Ads Reporting properly, the rest is ours. Signal opens at $1,060, one time.
- From $1,060, paid once
- Requests that fit
- History kept
- No monthly fee from us