E57: Measuring The Right Franchise Development Analytics With Internet Strategy Labs

Hosts: Michael Hyam and Liane Caruso
Guest: Jimmy Weeks, Founder of Internet Strategy Labs

The LFG Podcast had Jimmy Weeks on the show, founder of Internet Strategy Labs. Internet Strategy Labs is a software development company that has been building marketing analytics platforms for franchise development teams for 12+ years.

Jimmy started in franchising in 2008 as a franchise owner himself, running a digital marketing agency that covered web development, paid ads, and SEO. When he started building analytics dashboards for clients and saw how much they moved the needle, he made the pivot: wind down the agency work, partner with great agencies, and focus entirely on the data layer. 

His North Star is a platform that pulls together web analytics, social media, broker leads, and CRM data into a single view of what is actually happening at the top, middle, and bottom of a franchise development funnel. Here is what he shared.

PODCAST SUMMARY: BUILDING A MEASURABLE FRANCHISE DEVELOPMENT FUNNEL WITH INTERNET STRATEGY LABS

THE WEB FORM IS THE FIRST HANDOFF, NOT JUST A LEAD CAPTURE

Jimmy opened with a reframe that sets the tone for the entire conversation: the inquiry form on your website is not just a place to collect a name and email. It is the first handoff between marketing and sales, and most brands are not treating it that way.

Done well, the form captures enough context that when a recruiter sees a new lead come in, they can read it and know immediately whether it is worth picking up the phone: which territory is involved, whether the person is financially qualified, what campaign brought them in, and whether they fall into a specific persona like a veteran, multi-unit operator, or someone considering a conversion or resale.

Jimmy gave a concrete example. If someone came in through a veteran-specific landing page, the form should ask what branch of service they served in. When that lead hits the CRM and the recruiter sees the answer, the opening call practically writes itself. You lead with thanks for their service, mention the specific territory they flagged, and move forward. The candidate feels heard before the conversation even starts.

The other piece is the technical side: UTM parameters. Every form submission should capture the source, medium, campaign, and keyword that drove that person to the site in the first place. Without that, marketing is flying blind on what is actually producing qualified candidates, not just clicks.

HOW MANY FORM QUESTIONS IS TOO MANY

This is an area of genuine debate in franchise development, and Jimmy lands clearly on the minimal side.

The inquiry form exists to get someone in the door. You are not trying to qualify them fully at this stage. You are trying to give a recruiter enough to make an informed call. Name, email, phone, preferred territory, and a self-stated financial worthiness question are the essentials. After that, diminishing returns set in fast.

Jimmy shared a real data point from a client engagement nine years ago. The brand had 11 questions on their form, with the last one being “how did you hear about us?” After adding heat mapping and drop-off tracking to each form field, they found a 4% drop-off rate on the net worth question. Totally manageable. The “how did you hear about us” question had a 17% drop-off rate, and it was the very last field before submission.

Seventeen percent of people who answered every other question abandoned the form on that final question. And since the team could get attribution data through UTM parameters anyway, the question was adding nothing and costing a significant percentage of the pipeline.

His rule of thumb: if you can get the data another way, do not ask for it on the form.

One technical note worth flagging: if you are using SMS autoresponders, multi-step forms may create compliance issues. A2P messaging regulations require the opt-in checkbox to appear when a phone number is first collected, and it is not always possible to include that on a multi-step form. Worth checking with your tech team before building one.

THE METRIC THAT SHOULD REPLACE COST PER LEAD

Cost per lead is the metric FranDev teams default to, and Jimmy’s view is that it is the wrong thing to optimize for.

Booking Rate Analytics

The metric that actually matters is booking rate: the percentage of leads who convert to a booked discovery call. Booking rate is the first true handoff from marketing to sales, and it tells you something that cost per lead never can. A campaign that generates leads at $50 each but books at 5% is underperforming a campaign that generates leads at $200 each but books at 35%, and cost per lead will never show you that.

What makes booking rate especially useful is the speed at which you can read it. If your team or your AI is responding to leads quickly, most booking activity happens within one to two days of a lead coming in. That means you can assess whether a campaign is working in five days rather than waiting 20 or 30 days for a meaningful sample. Faster signal means faster optimization, which means less wasted budget on campaigns that are not producing.

Other Analytics To Measure

From there, the funnel continues: kept appointment rate, franchise application, FDD delivery, and ultimately closed deal. Jimmy’s recommendation is to know your average time between each of those stages, because it tells you how long any given campaign needs to run before you can fairly evaluate it against downstream outcomes.

One additional signal worth tracking if you are using SMS follow-up: the unsubscribe rate. If your baseline unsubscribe rate is 4% and a new campaign pushes it to 20%, that is a sign of a disconnect between campaign quality and what your brand actually delivers. It is a small metric that carries a lot of meaning.

THE LIFETIME VALUE ARGUMENT

This is the number that most franchise development marketing conversations skip entirely, and Jimmy made a strong case for why that gap matters.

He described an Internet Strategy Labs client running Facebook ads at $2,000 per month for 10 months. At the end of month 9, they were $18,000 in with no closed deal. By traditional cost-per-acquisition logic, the campaign might have been cut. But the mid-funnel signals were healthy: good booking rate, applications coming in, low unsubscribe rate on SMS follow-up. They kept running. Month 10 produced a close at $55,000 in franchise fees.

The ROI on the campaign was positive. But more importantly, the lifetime value of that franchisee over one, five, and ten years of royalties dwarfs the $20,000 cost of the campaign. A director of marketing who knows their franchisee lifetime value can go back to leadership and make that argument with real numbers, rather than defending a spend that looks expensive in a cost-per-lead spreadsheet.

Jimmy’s broader recommendation: sell through your FDD. Know your average unit volume, know your investment range, and understand what the rate of return looks like for your franchisee. That is the number a multi-unit operator is going to want to understand early in the process. If your investment range is $500,000 and your average unit volume is $1.5 million, you have a three-times rate of return on investment, and those are numbers worth leading with.

A NEW CHANNEL MOST BRANDS ARE NOT MEASURING YET

One of the most interesting threads in the conversation came when Jimmy mentioned something that has quietly appeared in his clients’ data: leads coming in from ChatGPT and other AI assistants.

When Google launched its AI-assisted channel, it hard-coded the UTM source parameters, meaning Google Analytics automatically tags traffic arriving from ChatGPT, Gemini, Perplexity, and similar sources without anyone having to set it up manually. That means if your web form is connected to your CRM, you may already be capturing that attribution data without knowing it.

Jimmy has a QSR client who is seeing franchise applications tagged to ChatGPT as the source. That is a new channel, and it is live today for brands whose websites are properly set up.

His framing on how to make the most of it: treat your website as your first-party source of truth. Make sure your FDD data, your performance figures, your blog content, and your location information are all represented accurately on your site. That is what AI models are pulling from when they generate recommendations, and a well-structured, data-rich site is how you end up in those results.

WHAT’S WORKING IN FRANDEV RIGHT NOW, AND WHAT’S NOT

Jimmy’s honest read on the current channel landscape:

Meta For Franchise Development

Meta is having a moment. For the right brand types, he is seeing strong results, particularly when agencies bring curated lookalike audiences built from franchise application data rather than generic interest targeting. Measuring at the application level rather than the lead level is what makes this work: when you can see which campaigns are producing people who actually fill out the franchise application, cost per lead becomes irrelevant.

Consumer Referrals

Consumer referrals are underused and undertracked. Jimmy’s practical advice: make sure every franchisee microsite has UTM parameters set up so that referrals flowing through franchise locations back to the corporate development page are being credited properly. At your annual conference, give awards and small incentives to franchisees whose microsites drove inbound inquiries. It is old-school, and it works.

SEO and AI-Assisted Discovery

SEO is not dead, just distributed. Search traffic is splitting between traditional Google results and AI-assisted discovery. The fundamentals still matter, but the definition of where you need to appear has broadened.

LinkedIn For Franchise Development

LinkedIn for franchise opportunity seekers: Jimmy and both hosts agreed here. LinkedIn functions well as a supplier-to-industry tool, and it can work for SaaS businesses, but as a channel for reaching prospective franchisees it consistently underperforms. The platform moves too fast, content disappears quickly, and the franchise industry audience on LinkedIn is overwhelmingly other franchise industry professionals rather than actual franchise buyers. As Liane put it: we are all just franchise people talking to each other. If budget is limited, this is where it should come from.

THE ONE THING TO DO THIS WEEK

If you are a franchise development marketer who is currently optimizing primarily around cost per lead, Jimmy’s starting point is simple: find out what your booking rate is by campaign.

You probably already have most of the data. You have your CRM, you have your lead sources, you have your discovery call calendar. The exercise of connecting those three things and calculating what percentage of leads from each campaign actually became booked calls will tell you more about what is working than any cost-per-lead report. And once you have that number, every other conversation about campaign performance gets sharper.

THIS EPISODE IS BROUGHT TO YOU BY…

Franchise Ninja, Adduro, Utopia Experience, Franchise Assembly, and The National Franchise Show.

Listen to the full episode now to hear more from Jimmy, and subscribe to the LFG Podcast so you never miss an episode!

Listen on Apple, Spotify, or YouTube.

For more on Internet Strategy Labs, visit internetstrategylabs.com or connect with Jimmy on LinkedIn.