Atlanta Marketers: Is Last-Click Killing Your ROI?

For marketers in Atlanta, attribution isn’t just a buzzword; it’s the key to unlocking the true ROI of your campaigns amidst the city’s vibrant and competitive market. Are you still relying on last-click attribution, or are you ready to see the full picture?

Let’s talk about Sarah, the marketing director for “Sweet Stack Creamery,” a local ice cream shop with three locations dotted around Atlanta – one in Little Five Points, another near the Perimeter Mall, and the flagship store downtown near Woodruff Park. Sarah was struggling. She was pumping money into various marketing channels: Facebook ads targeting families, Google Ads for “ice cream near me,” influencer collaborations with local food bloggers, and even sponsoring the annual Peachtree Road Race. The problem? She had no idea which efforts were actually driving customers through the door.

Sarah was using last-click attribution in Google Analytics. This meant that the last interaction a customer had before making a purchase got all the credit. If someone clicked on a Facebook ad, then searched for “Sweet Stack Creamery” on Google and came into the store after clicking on the Google search result, Google got all the credit. Facebook got nothing. That’s a problem.

I had a client last year in the same boat. They were running radio ads (yes, some businesses still do!), social media campaigns, and email marketing blasts. Using last-click, they were ready to axe the radio spots. But after digging deeper with a time-decay model, we discovered that the radio ads were creating initial awareness, priming customers to then engage with the brand online.

So, what’s a better approach? Multi-touch attribution. This model recognizes that customers often interact with a brand multiple times before converting. There are several types of multi-touch models, including:

• Linear Attribution: Gives equal credit to each touchpoint in the customer journey.
• Time-Decay Attribution: Assigns more credit to touchpoints that occur closer to the conversion.
• Position-Based Attribution: Gives a fixed percentage of credit to the first and last touchpoints, with the remaining credit distributed among the other touchpoints.
• Algorithmic Attribution: Uses machine learning to analyze customer data and assign credit based on the actual impact of each touchpoint.

For Sarah at Sweet Stack, I recommended a position-based model, giving 40% credit to the first touch and 40% to the last, with the remaining 20% distributed among the middle interactions. Why? Because in the ice cream business, brand awareness (first touch) and the final decision (last touch – “I want ice cream now“) are crucial.

Okay, so how do you actually do this? First, you need the right tools. A CRM (Customer Relationship Management) system is essential. Something like Salesforce or HubSpot allows you to track customer interactions across different channels. Many CRMs have built-in attribution reporting. If yours doesn’t, consider a dedicated attribution tool like Adobe Attribution or Singular. These tools integrate with your ad platforms, website analytics, and CRM to provide a unified view of the customer journey.

Here’s what nobody tells you: setting up attribution is not a one-time thing. You need to constantly monitor your data and adjust your model as customer behavior changes. Are people suddenly finding you more on TikTok? Then you might need to adjust your position-based model to give more weight to social media interactions.

Back to Sarah. After implementing a position-based attribution model in her CRM, she started to see some surprising results. The influencer collaborations she almost cut? Turns out, they were driving a significant number of first touches, introducing new customers to Sweet Stack. The Google Ads? They were excellent at capturing customers ready to buy right now (the last touch). But the Facebook ads? They were underperforming, primarily reaching people who were already aware of Sweet Stack. She paused those ads and reallocated the budget to more influencer campaigns and targeted Google Ads around specific events in the city, like Braves games at Truist Park.

A IAB report highlights the increasing importance of data-driven attribution, stating that businesses using sophisticated attribution models see a 15-20% improvement in marketing ROI. But here’s a warning: don’t get bogged down in analysis paralysis. Some marketers get so caught up in the data that they forget to actually market. Attribution is a tool, not a replacement for creativity and intuition.

Let’s get specific. Say Sweet Stack ran a campaign offering a 20% discount to customers who mentioned the “Sweet Summer” promo code. Using attribution, Sarah could track which channel drove the most promo code redemptions. If the majority came from Instagram, she knows to invest more in Instagram marketing. If it was a blog post on Atlanta Eats, she knows to prioritize partnerships with local food blogs.

We ran into this exact issue at my previous firm. We were managing a campaign for a personal injury law firm near the Fulton County Courthouse. They were spending a fortune on billboards along I-75 and radio ads during rush hour. The problem was, they couldn’t directly track the effectiveness of those offline channels. So, we implemented a unique phone number on each ad. When someone called that number, it was automatically tagged in the CRM. Guess what? The billboards were a complete waste of money. The radio ads, however, were driving a steady stream of qualified leads.

Think about it: are you truly measuring the impact of that sponsorship of the Brookhaven Arts Festival? Or that ad in the Buckhead neighborhood newsletter? Without proper attribution, you’re flying blind.

What about privacy? With increasing concerns about data privacy, especially under regulations like the California Consumer Privacy Act (CCPA), marketers need to be transparent about how they collect and use customer data. Make sure you have a clear privacy policy on your website and obtain consent before tracking customer interactions. A recent Nielsen study found that 73% of consumers are more likely to trust brands that are transparent about their data practices.

By the end of the following quarter, Sweet Stack Creamery saw a 22% increase in sales, directly attributed to the changes Sarah made based on her improved attribution data. She was no longer guessing; she was making informed decisions based on actual customer behavior. That’s the power of effective marketing attribution.

Don’t be like the old Sarah, blindly throwing money at different marketing channels and hoping something sticks. Implement a multi-touch attribution model, track your data, and adjust your strategy as needed. It might seem daunting at first, but the ROI speaks for itself.

If you’re in Atlanta and want to ensure you unlock marketing ROI, proper attribution is key.

To better understand your customer journeys, using data visualization can be extremely helpful.

You’ll also want to be sure that your marketing performance analysis is up to par.

The key to successful marketing in Atlanta isn’t just about reaching potential customers; it’s about understanding how you reached them. Start small, experiment with different attribution models, and let the data guide your decisions. Your ROI will thank you.