# What's the best marketing analytics software for SaaS teams tracking customer acquisition and subscription growth metrics?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Here's where things shift from campaign performance to business metrics. What's the best marketing analytics software for SaaS teams tracking acquisition and subscription growth, not just what campaigns are running?</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">SaaS teams have a specific problem with marketing analytics: the metrics that matter most, CAC, LTV, churn influence, and activation rates, don't live in marketing tools by default. They require pulling together data from CRM, product, billing, and marketing platforms, and most analytics tools weren't built with that combination in mind.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">From 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/hubspot-marketing-hub/reviews"><strong>HubSpot Marketing Hub</strong></a>: Connects acquisition directly to revenue and pipeline, which makes it easier to trace how marketing spend influences closed deals and expansion. Reviewers at SaaS companies describe it as the most accessible starting point for this kind of analysis, particularly before the data infrastructure gets more complex.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/looker/reviews"><strong>Looker</strong></a><strong>:</strong> Used by SaaS teams for building custom dashboards that combine marketing, product, and subscription data in a single view. Reviewers describe it as what growth teams reach for when they've outgrown the native reporting in their CRM and need something more configurable.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-bigquery/reviews"><strong>Google BigQuery</strong></a>: Combines marketing and product data at scale and serves as the foundation for SaaS analytics stacks that need to handle large event volumes. Reviewers describe it as the right infrastructure layer when the team has the technical capacity to build on top of it.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/mixpanel/reviews"><strong>Mixpanel</strong></a><strong>:</strong> Tracks in-product user behavior and connects it back to acquisition source, which lets SaaS teams understand not just who converted but which channels are bringing in users who actually stick. Reviewers describe it as filling the gap between marketing attribution and product retention analysis.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">As you scale, which metric becomes hardest to trust: acquisition cost, because attribution gets messier, or lifetime value, because the cohort data takes time to mature?</p>

##### Post Metadata
- Posted at: 3 months ago
- Author title: Writer
- Net upvotes: 2


## Comments
### Comment 1

&lt;p&gt;&lt;span style=&quot;background-color: transparent; color: rgb(0, 0, 0);&quot;&gt;Following on the cohort maturity point in this thread, I&#39;m curious how far back people are willing to look before trusting an LTV number for a newer product line. Six months of cohort data feels thin to make big budget decisions on, but waiting a full year feels like it defeats the purpose of tracking it in the first place.&lt;/span&gt;&lt;/p&gt;

##### Comment Metadata
- Posted at: 14 days ago
- Author title: SEO Content Writer



### Comment 2

CAC and LTV literally live outside of marketing platforms by default, so you&#39;re not really choosing a marketing analytics tool here, you&#39;re choosing the foundation that can pull marketing, CRM, product, and billing data into one view. That&#39;s why the answer includes tools like BigQuery and Mixpanel instead of just the marketing stack players.

##### Comment Metadata
- Posted at: 15 days ago
- Author title: Marketing Executive



### Comment 3

&lt;p&gt;Lifetime value feels harder to trust because you need enough cohort history before the number becomes meaningful. Mixpanel’s ability to connect acquisition sources with in-product behavior stands out here because it adds another layer to the question of which channels are bringing in users who actually stick around.&lt;/p&gt;

##### Comment Metadata
- Posted at: 15 days ago



### Comment 4

&lt;p&gt;CAC and LTV just don&#39;t live in marketing tools natively and that&#39;s the thing that keeps biting SaaS teams. Most of these platforms were built for campaign performance not subscription economics so you always end up assembling the real picture from somewhere else.&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 months ago
- Author title: Marketing Executive





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