wicked reports: get accurate roi on pinterest ads

It's new! Pinterest cost integration is available now with Wicked Reports.

First party attribution data from Wicked Reports captures the entire buying cycle of leads generated from all your marketing activities. The tricky part with Pinterest is that these leads are often in the research phase and can take a long time to buy. Other marketing activities may help generate the sale, but you want to attribute that sale back to Pinterest for the most accurate ROI possible

You've probably heard the old saying: "Half my marketing is wasted. I just don't know which half." It's a classic line, born from a time when marketers puzzled over newspaper and catalog ad results. You'd think things would be totally different now with all our digital tools, right?

We have heard people recently asking if they should use Wicked Reports, Blotout, or Elevar.

As digital marketers, we've all been there. You're staring at Google Analytics, trying to make sense of the jumbled mess of data, and frankly, feeling frustrated. Google Analytics attribution can feel impossible, especially with all the recent changes.

The marketing world is obsessed with data, but are we measuring what matters? Google Analytics 4 (GA4) promises enhanced tracking and deeper insights, but several Google Analytics 4 flaws could sabotage your marketing efforts. These flaws revolve around misleading data on conversions, data accuracy, and customer journeys.

The skill in which Meta (Facebook & Instagram) takes credit for a sale is astounding.

It's clickbait that works - marketers screaming from the mountaintops "ROAS is DEAD!".

I recently chatted with Depesh Mandalia from AdSignals about our use of Machine Learning to help our customers to automatically mine their attribution data to find valuable consumer behaviour insights, to generate alerts and weekly recommendations. 

Our system excels at identifying subtle 'Attribution Habits,' such as detecting that customers who engage with a specific blog post and a low-cost Facebook retargeting ad within 7 days have a 45% higher Lifetime Value (LTV) than average. The ML then translates this insight into a weekly recommendation to increase budget on that specific ad set and adjust the blog's Call-to-Action. This level of precision is exactly how Depesh Mandalia was able to see such significant, measurable returns.

Update: Click to learn more about FunnelVision here.

Understanding different attribution models and how to use them is critical to marketers looking to increase ROI on ecommerce brand advertising.

Attribution models are powerful because they make it easy to spot what campaigns are not performing, and which campaigns should get more ad spend.

Data is collected when a user first clicks on an ad, the user begins to be tracked, data is recorded, that data can be sent back to Facebook or Google  This data collection and attribution process continues from that first-click to every interaction thereafter, crediting campaigns with revenue from sales.

There are four main types of marketing attribution models:

1. First Click ROI
2. First Opt-in ROI
3. Last-Click ROI
4. Re Engaged Leads ROI
5. Multi-Touch (Full Impact and Linear) ROI

Each of these models is used to evaluate marketing performance at different levels of the sales funnel.

Using them strategically in combination with each other is critical for developing a high ROI for paid advertising at every stage of user interaction. They make it easy to determine what content is performing (and what isn't) so you can eliminate the fluff and focus your efforts and budget on what converts.

First Click ROI Attribution Model

First-click attribution is just that - it gives all the credit for a sale to the very first click a user makes.

This is best used to identify what campaigns are performing best for cold traffic (TOF). 

You might think that you need to optimize cold traffic for clicks or leads. This is a common misconception about TOF optimization. 

But the most successful brands know that the highest ROI comes from optimizing cold traffic for purchases. Not just any purchases - high value customers.

This can be done a couple of ways. The most common methods for optimizing on LTV we see is brands dive into their customer LTV reporting and create lookalike audiences and replicate the content that inspired their highest value customers to make purchases. 

This one small strategist shift around optimizing cold traffic can make an enormous difference in your ROI throughout the entire sales funnel. Try it and see the results for yourself.

Re Engaged Lead ROI Attribution Model

Re-Engaged Leads are critical for keeping your list engaged, improving deliverability, and increasing ROI through repeat purchases.

The Re-Engaged Lead ROI Attribution Model credits all revenue to re-optin content from MOF.

It's useful for optimizing MOF for content that engages users, inspires new or repeat purchases, and keeping your brand in the front of people's minds.

Use this model to eliminate MOF content that isn't performing. The benefits of this are increasing ROI by reducing buying cycle time. Buying cycle is the time it takes from first-click or lead opt-in to a purchase. Reducing this time makes you ROI positive in a shorter time frame, recouping your advertising costs faster and potentially bringing in more sales from repeat customers.

Reducing the buying cycle time can be pretty powerful for your bottom line.

All you have to lose by optimizing MOF with a ReEngaged Lead ROI Attribution Model is negative ROI campaigns!

Last Click ROI Attribution Model

Crediting all the revenue to the final click before purchases gets you a clear image of what content is inspiring users to become customers. 

The Last-Click ROI Attribution Model makes it easy to identify positive ROI campaigns or channels. Then you can add budget to scale those campaigns and increase overall revenue.

Negative ROI campaigns should be killed - but hold on! Before you do, let's talk about buying cycle time a little bit more.

We talked about reducing buying cycle time by eliminating MOF content that doesn't perform using ReEngaged Lead ROI.

But how long should you let a new campaign run before pulling the plug?

Amateur marketers will often turn a campaign off after only 3 days (or less). This is a critical mistake - they are likely killing campaigns that just haven't had time to build value yet.

The best way to check buying cycle time for your brand is to use a Sales Velocity Report. You can check the buying cycle time from first click or lead to sale using one of these.

Now it becomes easy to decide how long to run a campaign before you kill it or scale it. This is especially helpful with last-click campaigns at the BOF, which take the longest to convert because they are by definition at the end of the buying cycle.

To optimize paid advertising, your brand needs accurate, multi-touch attribution data and a clear measurement of buying cycle time. 

Multi-Touch Marketing Attribution Models

Multi-Touch Marketing Attribution Models credit revenue across multiple touch points, rather than a single step of your funnel (like first- and last-click models). This is insightful for taking a 10,000 foot view of marketing performance, making it easy to identify which steps in your marketing funnel are performing well and which need a little TLC.

We love using these to get an idea of where to dive into the details on funnel steps, channels, and individual campaign performance using the other attribution models previously discussed.

We use two different multi-touch marketing attribution models to help our clients scale their paid advertising performance. Our Linear ROI Attribution Model credits revenue fractionally across as many as four touch points, which helps to highlight strong and weak areas across your marketing funnel. The Full Impact Attribution Model credits full revenue at each of four touch points, which makes it much easier to see the highs and lows.

Multi-touch attribution models offer incredible insights into your marketing performance that just cannot be found anywhere else.

You can find out more about Linear and Full Impact ROI Attribution models here.

How To Optimize Ecommerce ROI From Paid Ads Using Marketing Attribution Models

Marketing Attribution Models with accurate attribution data are a game changer for ecommerce brands looking to increase their ROI.

The most important ways to use these models to optimize are:

• Multi-touch Attribution Models are the best place to start with a high level view of marketing performance.
• Use First-Click ROI Attribution to optimize your cold traffic for high value customers, not clicks or leads.
• Keep email subscribers and retarget audiences engaged, and increase ROI by tracking ReEngaged Lead ROI and replicating or scaling effective content.
• Last-Click ROI Attribution is best used to scale BOF ads for actual purchases and customer LTV.
• Allow campaigns to run for at least one buying cycle before deciding to kill, chill, or scale.

You can bring all these tools together using the Wicked Reports dashboard, to get the most out of accurate, multi-touch marketing attribution.

faq

What are the main types of marketing attribution models discussed?

The main models include First Click ROI, First Opt-in ROI, Last-Click ROI, Re Engaged Leads ROI, and Multi-Touch ROI (Full Impact and Linear).

How should the First Click ROI Attribution Model be used?

It should be used to optimize cold traffic (TOF) for high-value purchases, not just clicks or leads. This is often done by creating lookalike audiences based on high Customer Lifetime Value (LTV) customers.

Why is it important to know your brand's buying cycle time?

Knowing your buying cycle time (which can be checked with a Sales Velocity Report) helps you determine the necessary duration to run a new campaign before you decide to "kill, chill, or scale" it, preventing the premature ending of potentially valuable campaigns.

Book a call with a Wicked Attribution Expert to see what Marketing Attribution Models can do for you!

The e-commerce landscape has exploded since the pandemic. Global retail e-commerce sales are now projected to surpass $6.4 trillion in 2025, demonstrating the massive acceleration of digital retail. To track this shift, Wicked Reports utilized the foundational 2021 revenue data from the Statista eCommerce Market Forecast to rank the top sectors, offering a crucial benchmark on where customer spend was concentrated at the start of this digital surge. E-commerce is defined as the online purchases of consumable and durable goods for personal use.