HubSpot's latest update That Fixes Your Reporting Bottleneck

HubSpot's no-code report formulas, a cheaper GPT-5.6, brand rules for LinkedIn's AI ads, Google's new ad match labels, and the one content move Google says still works

Author

Code Peddle
June 30, 2026

Hey there, Digital Marketing Rockstars! 🎸

Manmeet here, there's a quiet thread running through this week's stories. Every one of them is really about the inputs you control before the automation kicks in. Clean reporting logic. Clear brand rules. Honest content. Get those right and the tools make you look good. Get them wrong and the same tools scale the mess, just faster.

In today's email:

1. HubSpot makes report formulas buildable without writing any code. 📈
2. GPT-5.6 arrives cheaper and stronger, and the US government made it slow down. 🤖
3. LinkedIn lets you lock your brand rules before its AI builds your ads.💡
4. Google starts labeling how well your search ads match the query. 👀
5. Google's fix for AI traffic loss: write things people actually want to read.🌐

Marketing Automation

HubSpot's New Formula Builders: Reporting Without the Syntax Headache

HubSpot's Custom Report Builder now gives you two guided ways to create formulas, sitting right alongside the old code-style method. "Conditional Logic" handles If/Else cases through a guided interface, and "Summary Measure" builds an aggregation on a measure without you typing a line of syntax. It's a small change to a corner of HubSpot that quietly stops a lot of teams from reporting on their own work.

Our Hot Take:
Stop treating custom reports like a job only the ops person is allowed to do. Most reporting gaps aren't a data problem, they're a "nobody here is comfortable writing the formula" problem, and HubSpot just removed that excuse. Asking someone to write a report formula in raw syntax is a bit like asking your marketing manager to write SQL just to see how last month went. The new Conditional Logic tab covers your If/Else cases and Summary Measure handles your aggregations, both through a guided interface a normal human can follow. One real catch: if you start building in one tab and switch to another, HubSpot warns you and your progress disappears, because it can't carry work between them yet. So pick your method before you start. This week, take the one report your team keeps "pulling manually" and rebuild it with the guided builder, then save it so nobody has to ask again.

Content Marketing

GPT-5.6 Is Cheaper and More Capable. It Also Needed Government Sign-Off.

OpenAI started rolling out its GPT-5.6 suite to a small group of trusted partners on June 27, a day after the Trump administration asked it to stagger the launch. The lineup comes in three tiers: Sol (the flagship), Terra (a mid-tier model for high-volume work), and Luna (fast and cheap). Sol runs about $5 in and $30 out per million tokens, roughly half the price of comparable rivals, and there are new deeper-reasoning modes plus a heavy focus on cyber and bio safety during a monitored preview

Our Hot Take:
Cheaper tokens are good news and a quiet trap at the same time. Every time a model gets better and cheaper, the urge is to point it at more of your workflow and let it run. Resist that for a beat. AI dropped onto a broken process doesn't fix the process, it scales the dysfunction at a lower cost per unit. A cheaper model working from a messy brief just hands you more messy drafts. The model was never your edge anyway, because your competitors now rent the same cheap horsepower you do. Your edge is still the input: a sharp brief and a point of view worth amplifying. So before you widen any AI workflow this week, write the brief out in plain English first. If you can't explain it, the model can't either.

Social Media Marketing / PPC

LinkedIn Now Lets You Lock Your Brand Rules Before Its AI Touches Your Ads

LinkedIn is rolling out a Brand Kit inside Campaign Manager that lets you set your color palette, fonts, and brand voice in one place. It can even draft a starting voice profile from your existing presence, and those rules then feed LinkedIn's AI ad generation. It's going out to selected advertisers right now.

Our Hot Take:
Treat this as guardrails, not decoration. The moment a platform builds your ads with AI, your brand guidelines stop being a PDF nobody opens and start being live instructions the machine actually follows. That's the upside and the risk in one breath. If you let LinkedIn auto-generate your "brand voice" from whatever you happen to have posted, you're handing the robot a vague brief and hoping it fills the gaps the way you would. Better to set the rules yourself: your real palette, your actual fonts, and two or three voice rules you'd defend in a meeting. Think of it as labeling your shelves before the robots start stocking them. This week, open the Brand Kit, replace the auto-suggested voice with your own short and specific rules, and run one test ad to see what it builds.

Google Starts Showing 'Strong Match' Labels on Your Search Ads

Google is testing two new labels, "Strongest match" and "Strong match," on a small percentage of US search ads, pre-announced by Ginny Marvin on June 23. They reuse Google's existing ad-quality and relevance signals to show how closely an ad fits the query behind it. For now the labels don't change the auction, and there's no advertiser-facing reporting on them yet.

Our Hot Take:
This is Google grading your homework in public, so treat it as a prompt, not a worry. A "match" label is really just Google's read on how well your query, your ad, and your landing page line up. You control all three, which means a weak match is a fixable alignment problem and not a mystery. The fastest gains usually aren't in the ad copy, they're in the search terms you're still paying for that have nothing to do with what you sell. And here's the part most teams skip: the best negative keyword lists get written by sales, not marketing, because sales actually hears the words real buyers use and the words tire-kickers use. This week, open your highest-spend campaign, read the real search terms report, and add negatives for the queries that don't fit your offer. Tighten the match yourself before Google has to point out that it's weak.

SEO

Google's Fix for AI Traffic Loss: Write Things People Actually Want to Read

In a new interview, Google's VP of Search Liz Reid told publishers worried about losing traffic to AI that the answer is fundamentals. Stop publishing the "1,000th copy" of the same story and create unique, expertise-driven content people genuinely want to read. She framed AI visibility as two things: let Google access your content, and write for the audience instead of the engine.

Our Hot Take:
If your draft could have been written by anyone with a Google search bar, it won't get read by humans or surfaced by AI. That's the uncomfortable center of what Reid said, and it happens to be the thing we've argued for years. Good content works like a magnet or a filter. It pulls in the people you want and quietly turns away the ones you don't. The "just publish more" reflex produces the exact slop she's describing, the copy nobody actually needed. Real content does the opposite and compounds. One law firm we worked with cut its paid search spend by 35% in six months, not by fiddling with bids, but because honest organic content finally carried the lead volume on its own. You don't need a content factory. This week, pick one page that reads like everybody else's, and rewrite it with a point of view only your team could have.

Related Blog:
Content Marketing SEO vs Standalone SEO: Which Drives Better ROI for Small Businesses?

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Tip of the Week

Pick one place this week where you've been feeding automation a vague input. A messy report formula, an auto-generated brand voice, a thin page that reads like everyone else's. Make that one input clear and deliberate, and leave the rest for now. Turn a single fuzzy input into a sharp one and let the tools amplify something worth amplifying.💡

Summary:

Here is the quick recap.

  • Marketing Automation: HubSpot now lets you build report formulas through a guided interface, no syntax required. 📈

  • Content: GPT-5.6 is cheaper and stronger, but a cheaper model still can't rescue a messy brief. 🤖

  •  Social: LinkedIn's new Brand Kit feeds your rules straight into its AI, so set them yourself. 💡

  • PPC: Google's new match labels are just a grade on how well your query, ad, and page line up. 👀

  • SEO: Google says the way through AI search is to write content people actually want to read. 🌐

Meme of the Week