Break the SignalFOR
Reports that build themselves.
Your team generates one in an afternoon instead of two weeks. The fair board actually reads it. And it holds up in a year when the numbers are down.
Break the SignalFOR
Your team generates one in an afternoon instead of two weeks. The fair board actually reads it. And it holds up in a year when the numbers are down.
This is from a real one. Six of the headline figures on page one came out as a connector error instead of numbers, and it went to the client that way. Nobody caught it, because a person had to assemble the page by hand and there was no check that the data actually arrived.
Total ad spend
"The customer account can't be accessed because it is not yet enabled or has been deactivated."
Overall digital ROAS
"The customer account can't be accessed because it is not yet enabled or has been deactivated."
What it should say
3.85x$51,126 spent. $196,980 in tickets.
Also shipped on that page: a chart still titled "Edit title (copy)".
None of that is anyone's fault. It's what happens when a report is stitched together from screenshots and dashboard embeds under deadline. A generated report either has the number or refuses to publish, and it never carries a default title nobody changed.
You're hired to sell online tickets. The client judges the whole event. Weather, pricing, a lineup change or one bad news week pushes those apart, and then the numbers proving the campaign worked are the ones that sound most out of touch.
ZERO = LAST YEAR
One campaign, one year. The advance push did its job. Two washed out days during the run dragged the headline under. Show only the second bar and you've told the truth and lost the argument. Show both, with the weather next to them, and you've told the story.
It gets forwarded to a board, and quoted to a county commission, a sponsor, sometimes a state legislature. Fair leadership already reports the same set of numbers upward every year. If the report connects to those, it gets used. If it stops at click through rate, it gets filed.
One sentence, first thing on the page. Not a rate or an index. Money in, money out.
Advance against during the run, by product, against last year, with the weather and price changes that explain the gap sitting right there.
The number the industry organizes around, split honestly into what advertising can move and what it can't.
Fairs publish average spend per visitor. Multiply it out and a ticket count becomes on site spending, which is a number the board already uses.
This is why it gets forwarded instead of filed. A board defending next year's budget needs a sentence about what the event returns to the city. Hand them that sentence and the report stops being an invoice attachment.
The detail doesn't vanish, it moves. Anyone who wants campaign level granularity keeps a live link to it. What's left is something a board member gets through in ninety seconds.
Not shrunk down to fit one. Charts redraw for the screen they're on, tables turn into cards, and it's never a PDF you pinch to zoom. Same link works on a phone, a tablet and a boardroom display, and it still exports to PDF for whoever wants paper.
Figures count up, bars grow as you scroll. Motion points at the number that matters. Never decoration.
It should look worth the money before anyone reads a single figure.
Always current, opens for anyone the client forwards it to, and prints clean if they want it on paper.
The system writes the draft. Your account managers do the part only they can do, which is deciding what matters and saying it in the client's language. No engineer involved, and none needed six months from now either.
Per client, per report. A gate only fair doesn't carry concert sections it never needed.
Summary, commentary and recommendations stay human, written by whoever knows the account.
A campaign that ran alongside the main push but isn't part of the ticket story comes out in one click.
Proper manual entry for sources that will never have an API, not a spreadsheet bolted on the side.
When a product gets renamed or dropped, a reconciliation screen keeps the comparison honest.
An assistant wired into the system, so a structural change is a request rather than a support ticket.
Here is the sample report broken into its parts, with the source of each. Green builds itself on a schedule. Blue arrives from a feed you already pay for. Amber is the part that should stay human, because judgement is the thing you are actually selling.
Meta, Google and TikTok all hand back the actual ad file alongside its spend and conversions. So the page showing your best six ads, with the image and the numbers underneath, assembles itself and re-ranks every night. Right now somebody screenshots those by hand into a slide. That is a whole afternoon per report that disappears.
Every part of that sample is a block with its own data source. A report is an ordered list of them. Add one, drop one, reorder them, and save the arrangement as the template for that client or for all seventy.
A gate only fair, a fair with concerts, and one with organic social on top. A client's report inherits from its template and keeps only what it changes, so improving the template improves every client at once.
Type over a number where the feed is wrong or missing, and the override is marked so nobody mistakes it for measured data later.
The system assembles a draft. A person reads it and presses publish. Detected press and incidents wait in a queue until someone approves them.
It renders as not measured rather than as zero, or it removes itself. It never invents a number to fill a hole.
Send a link, then correct a figure, and the client sees the correction. What changed and who changed it is on the record.
Build sponsor exposure once for the client who asks, and it is available to the other sixty nine that afternoon.
Right now the explanation for a soft year lives in somebody's memory and reaches the report only if that person happens to be on the call. This turns it into data that shows up on its own.
Daily highs and rain against daily sales, pulled per market for the run of the event.
Biggest single variable at a fairRegional press and social watching for the things that quietly flatten a week. Closures, storms, an incident on the grounds.
Engine already builtHow the rest of your fairs moved this season, aggregated and anonymous. No other agency can produce that sentence.
Your best argument in a down yearBundles and four packs that show up one year and vanish the next, so year on year stays honest.
Captured during the campaignTicket price history per product, so soft volume against strong revenue reads correctly.
Reused every season afterTalent level per event, so the effect of a booking shows up in data instead of getting argued from memory.
Turns into booking advice over timeEverything detected goes into a review queue first. An account manager decides if it belongs and how it's worded. The system gathers. The judgement stays with the person who knows the client.
We went and checked the real integration path for each one instead of assuming. Three of them work differently than expected. Two are easier than they look, and one that seemed shut has a door.
Its public API is built for pushing custom data in. The read endpoints only give back what you already pushed. Nothing hands over the Google, Meta or TikTok data it collects, so pulling by API isn't the route.
The supported path is the BigQuery transfer, scheduled, no code. Data lands in a warehouse nightly and we read it there, which also gets rid of platform API quota limits. One setup per account, then it runs itself.
No direct access needed. It all comes through the pipeline above, which is what makes 70 clients workable. One connection instead of about 280.
No public API, which matches the scraping you already do. That scraper doesn't have to stay manual though. Browse AI has a full REST API with scheduled monitors, webhooks that fire when data changes, and bulk runs. It can capture nightly across every Saffire client and push to us without anyone touching it.
We'll also ask Saffire about a proper feed. They're a fairs industry partner, and that request lands better coming from the fair than from a vendor.
Etix publishes a real partner API under partner terms, with 150 plus reports behind it. That's a credentials conversation with their partnerships team, not an engineering problem, and it replaces scraping with a clean feed.
The iframe makes it look sealed. It isn't, it's just not open in a browser. Ticketmaster runs Archtics Transaction Services, a JSON web service built for exactly this data, through their Nexus partner program.
Production access gets granted based on the relationship between Ticketmaster, the client and the partner. So it's a request the fair makes for you, not a technical wall. Worth testing on one big client before we design around hand keying forever.
There's a read only Analytics Open API covering audience, content and community reports, the same data as the CSV exports, by API key. Two things to know. It needs a Custom plan, and it caps at 500 requests every 30 minutes with no way to raise it, so we batch overnight instead of querying live.
X isn't covered by their API because of platform restrictions, so that one stays manual.
Left out of every revenue figure on purpose. Consent banners mean it only catches a fraction of real sales, and a number you can't defend is worse than none. Return gets built from platform conversions plus email and text revenue, with the method stated in one line on every report.
The raw material for anything historical. Read once, then sorted into the warehouse by product, price, lineup and result per client per year. It's what makes multi year comparisons possible at all.
Fireflies has a GraphQL API on every plan that returns transcripts, summaries and action items. The HubSpot link is already live, so what got promised and what changed can surface into the report instead of sitting in somebody's inbox.
Ticketing is the only partial one, and it's partial because of Ticketmaster alone.
Everything lands in one warehouse, gets sorted so this year and last year mean the same thing, then renders into a report your team edits instead of assembles.
One client, end to end, fully designed. Sets the format, the return panel and the context section.
DONE WHENYou'd send it to a client exactly as it is.Warehouse, ticketing feeds, product matching, three templates, and the editing layer your team works in.
DONE WHENYour team runs a client they've never touched.Weather, incidents, portfolio comparison, and a weekly one page pulse that goes out without anyone building it.
DONE WHENA soft year explains itself, with evidence.Lineup performance by market, pricing history, call context, and long range comparisons on demand.
DONE WHENA booking question gets answered by the system.Short list, mostly access, and none of it holds up phase one for long.
The real thing you send a client, plus three or four years of history on one account so we can see how the story changes season to season.
Enough to stand up the BigQuery transfer on one account and see the shape of the data.
Client folders, the social account, and the Browse AI setup so we can put it on a schedule.
How return gets calculated without GA4. It ends up being the most prominent figure on every report, so it's worth settling once, together.
To test the partner route before we design around hand keying as permanent.
Most useful hour in the project. What's tedious, what breaks, what gets redone every single time.