# What's the best marketing analytics software for consolidating paid, organic, email and social data into one attribution view?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">This one gets complicated fast. What's the best marketing analytics software for consolidating paid, organic, email, and social data into one attribution view? Most tools handle one or two channels well. Stitching everything together into a single view that actually reflects how customers move across channels is where most setups start to fall apart.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">From reviewing options in the <a class="a a--md" elv="true" href="https://www.g2.com/categories/marketing-analytics">Marketing Analytics Software</a> category:</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/improvado/reviews"><strong>Improvado</strong></a><strong>:</strong> Built specifically for aggregating marketing data from dozens of platforms into a unified dataset. Reviewers in large marketing teams describe it as the layer that finally made cross-channel reporting possible without a data engineer rebuilding connections every quarter.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/salesforce-marketing-cloud-intelligence/reviews"><strong>Datorama (Marketing Cloud Intelligence)</strong></a>: Combines data integration with cross-channel reporting in a single platform. Reviewers with complex media mixes describe it as one of the few tools that handles both the aggregation and the reporting layer, which reduces the number of handoffs between teams.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-bigquery/reviews"><strong>Google BigQuery</strong></a>: Acts as a central warehouse where data from all channels can land and attribution models can be built on top. Reviewers use it as the foundation of a custom attribution setup when no off-the-shelf tool covers their exact channel mix or modeling approach.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/singular/reviews"><strong>Singular</strong></a><strong>:</strong> Focuses specifically on cross-channel attribution for performance marketing, combining cost data with conversion data across paid channels in a way that reduces the manual reconciliation that usually happens in a spreadsheet. Reviewers in mobile-heavy and multi-platform ad setups describe it as one of the cleaner solutions for this problem.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">At this point it's worth asking whether consolidation is really a tool problem or a data architecture problem. Have you found a single platform that handles this end-to-end, or has your team ended up building a stack that works together instead?</p>

##### Post Metadata
- Posted at: about 1 month ago
- Author title: Writer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;For me it&#39;s always the data quality problem that breaks the cross-channel view, not the tooling. Paid and email data going into the same view are just not equally clean and most platforms don&#39;t help you deal with that before it surfaces as a wrong number.&lt;/p&gt;

##### Comment Metadata
- Posted at: about 1 month ago
- Author title: Marketing Executive





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