You’ll know how to allocate your marketing budget to maximize revenue. Make wise investments with your marketing budget. Make your data your unfair advantage.
Try searching ‘Marketing Agencies in NYC’ on Google and click through as many results as you wish. Here’s what you’re likely to encounter:
What follows this phase, you already know it.
How do you know your marketing campaign is performing correctly if you don’t track recurring vs new visitors?
You’ll be able to extract a list of our top 1000 customers who haven’t made a purchase in over 6 months. We could run an email marketing campaign or nurture our audiences.
After analyzing the attribution of the last 30 days, we know how to allocate our marketing budget to maximize conversions and revenue. It will only take us 30 minutes to implement this change.
By analyzing Google Ads campaigns, we’ve identified, through attribution, a campaign with significant growth potential and profitability. This campaign assists other campaigns throughout the customer journey.
Your brand must always be visible to your potential customers.
But, CPC and CPA are more expensive, you have more competitors, and ROAS, clicks, and visibility are decreasing for your brand.
Increase/Decrease your Target CPA/ROAS based on your Attributed Performance in Real Time.
Stay ahead of your competition. Push on the channels where you’re profitable, closing, or assisting conversions, and pull your spend from those channels where you are not generating revenue! Start making marketing decisions based on your customer journey analysis.
You’ll be able to create every kind of filters that will help you to make smarter decisions.
You’ll see a lot of algorithmic data, but you’ll need to make decisions knowing data based on the exact journey of your users.
You’ll know exactly how much “Facebook Ads” is assisting “Google Ads” and how much Broad Keywords Campaigns is assisting your Brand Keywords.
You’ll see at a glance:
You’ll see the exact data; it’s not algorithmic data.
You comprehend the reasons behind your users’ hesitations to initiate the next step of their journey.
You gain insight into the entire journey of your visitors, categorized by source, successful journeys, and more. You access information about devices, page views, sources, mediums, search terms, time stamps, and more.
All the data necessary to genuinely comprehend your visitors.
This report was requested by a CEO for their marketing team. The CEO wanted their team to have fresh business insights early in the morning, so that upon arriving at the office, they already knew what needed to be done to increase sales.
To optimize your marketing strategy, you must master the art of budget allocation (marketing attribution) and accurately gauge your traffic’s purchasing intent.
Are your visitors poised for purchasing, or are you primarily attracting visitors with lower buying intent? Adinton’s Predictive Algorithm classifies your traffic into 6 groups (A to F), ranging from those most prepared to buy to those with the least readiness. By identifying Group A as having ready-to-buy users and Group F as having users not yet prepared, you can tailor your marketing campaigns accordingly.
As depicted in the image, Adinton reveals that 18% of your traffic contributes to 78% (the combined sum of A to E) of your sales. Armed with this knowledge, you can pinpoint which marketing campaigns draw higher buying intent traffic, allowing you to amplify your efforts in driving traffic.
You get to connect your online and offline journeys in less than 5 minutes thanks to our Zapier integration.
Connect Adinton and your CRM to Zapier. Once an opportunity becomes “Won”, this information is sent from your CRM to Adinton through Zapier. You can sync this data via API (recommended) or CSV (not recommended).
Our business approach is distinctively unique. We’re 100% dedicated to putting you first. We guide you in making the right decision from the outset. To gain a deeper understanding of our solution and see firsthand how we can assist you, follow these steps:
We speak with complete transparency about our tool. That’s why, before initiating any sales calls, we prefer our potential clients to have all the necessary information to decide whether to work with us or not. We’ve developed a platform with audiovisual content so you can determine if we’re a good fit for you and your company.
We’ll grant access to our training platform, you can watch videos such as an Adinton Demo, training on predictive marketing and marketing attribution; gain access to a demo account and useful documentation. Everything you need to make an informed decision.
After you’ve explored all the information on Adinton, marketing attribution, and predictive marketing within the platform, you can schedule a call with one of our Marketing Attribution Specialists. This won’t be a sales call. Instead, you’ll be speaking with a Marketing Attribution Specialist who will address all your questions about the tool and its day-to-day use. Additionally, you can also discuss topics like pricing and billing if needed.
| Adinton | GA4 | |
|---|---|---|
| Default Attribution Model | Data-Driven (DDA) | Data-Driven (DDA) |
| Flexibility in Attribution Models | No | Limited (mainly predefined models) |
| Bias Towards Own Channels | No. Agnostic system | Yes (favors Google channels) |
| Philosophy | Which touch point have the greatest effec on the buying intent of each user individually. | Which ads have the greatest effect on your business goals |
| Data Requirements for Advanced Models | At least 60 conversions, with no minimum interactions requirement | At least 300 conversions and 3,000 ad interactions within 30 days |
| Data Requirements for Advanced Models | At least 60 conversions, with no minimum interactions requirement | At least 300 conversions and 3,000 ad interactions within 30 days |
| Customization | ✘ | Limited |
| When Calculate attributed data | Real-time | Up to 48h |
| Update Algorithm | ✔ | ✘ |
| Take in mind new vs recurring customer journeys | ✔ | ✘ |
| Integration with Other Services | Offline Conversions, Google Drive, TV Attribution, Zapier | High (especially with Google services like Google Ads) |
| Automatic (gclid) vs Manual Tagging | Automatic tagging is not taken in mind | Automatic tagging takes priority |
| Multiplatform Tracking | ✔ | ✔ |
| User Consent | Needs consent to track | Needs consent to track |
| Reports and Analysis | Ready to make decisions for users without experience. | Extensive but can be complex for users without experience |
| Ease of Use | High | Medium (can be complex for new users) |
| Cost | Start at 300€ | Free with paid options for advanced features |
| Support and Documentation | Knowledgebase, Email, Slack and Zoom | Extensive online resources, but direct support may be limited for small accounts |
| Cookie Duration | Up to 90 days by default | Up to 2 years by default |
| Minimum Traffic Required | Start at 20,000 monthly visits | Not specified, but advanced models require a minimum volume of data |
| Historical Attributed Data | Up to 6 months | ✘ |
| Adapt attributed data based on offline or cross divide data | ✔ | ✘ |
| Predictive Data | ✔ | ✔ |
| Minimum users | 1000 returning users (buyers, leads,…) | Minimum 20,000 visitors monthly |
| Period of time to be eligible | Minimum 60 days | Not specified |
| Data Stored | Forever | Forever |