Marketing Software Resources - Page 22

Articles and Discussions to expand your knowledge on Marketing Software

Resource pages are designed to give you a cross-section of information we have on specific categories. You'll find articles from our experts and discussions from users like you.

Contents

Marketing Software Articles

60+ Marketing Automation Statistics for 2027: ROI and Challenges

TL;DR: Key marketing automation statistics for 2027 How fast is the marketing automation market growing? The market is forecast to grow from $8.14 billion in 2026 to $20.12 billion by 2034. Are companies getting full value from marketing automation? 60% of B2B marketers say they are not using their existing tools to full capacity. How is AI changing marketing automation? AI and machine learning now account for 24.2% of marketing activity, up from 13.1% in 2024. Does personalization improve marketing results? 93.2% of marketers say personalized or segmented experiences led to more leads and purchases. How effective are automated emails? Behavior-based automated emails generated 30% of email revenue from just 2% of sends. How quickly does marketing automation pay back? G2 Data puts the estimated average payback period at 10 months. How long does marketing automation take to implement? In G2 Data, 83% of products go live within three months.

by Amita Jain

80+ Marketing Statistics to Shape Your 2026 Marketing Strategy

Marketing has always changed shape with its channels, but the shift underway in 2026 is different in kind. The marketing statistics that mattered two years ago described a discipline organized around search traffic, social reach, and email lists, with budgets allocated accordingly.

by Darshayita Thakur

2023 Trends: Making Your Marketing Win in Times of Loss

This post is part of G2's 2023 digital trends series. Read more about G2’s perspective on digital transformation trends in an introduction from Emily Malis Greathouse, director, market research, and additional coverage on trends identified by G2’s analysts.

by Victoria Blackwell

Marketing Software Discussions

Which inbound call tracking systems integrate with CRM and marketing automation tools?

A tracked call that doesn't flow into the CRM or marketing automation platform is a data point that dies the moment the call ends, disconnected from the lead record it should be updating. Reviewers in the Inbound Call Tracking category describe how well that connection actually works.

CallRail: Reviewers cite integrations with major CRM and marketing automation platforms, syncing call data into existing lead records automatically. Does that sync stay reliable during high call volume, or does it lag when campaigns spike?
Invoca: Reviewers in enterprise marketing teams cite deep Salesforce integration specifically, feeding conversation data directly into opportunity records.
CTM: Reviewers describe solid CRM integration, with several noting that marketing automation platform connections vary depending on which specific platform is involved.

For teams running both a CRM and a separate marketing automation platform, has one of these actually kept both systems in sync without a manual reconciliation step?

I’d test this beyond whether the integration technically exists. The harder part is keeping attribution intact when one caller touches several campaigns, speaks to sales more than once, and eventually converts offline. Which of these reliably writes the call and its original marketing source back to the same contact or opportunity without creating duplicates or overwriting attribution the marketing team still needs?

Answered: Shubham Gupta on September 16, 2026

What are the best inbound call tracking software for agencies tracking customer calls and campaign ROI?

An agency running paid campaigns for multiple clients needs to know which specific ad, keyword, or landing page actually generated a phone call, not just that a call happened. We compared the best Inbound Call Tracking software for agencies tracking customer calls and campaign ROI, using the Inbound Call Tracking category.

These platforms dominate the agency use case:

CallRail: The most reviewed platform in this category, reviewers cite multi-client account management as a core strength for agencies managing several campaigns at once.
Invoca: Reviewers in larger agencies cite deep conversation analytics tied to campaign attribution, going beyond just call source tracking.
CTM: Reviewers cite strong dynamic number insertion specifically built for tracking paid campaign performance across multiple clients.
CallFire: Reviewers describe a more straightforward feature set, a fit for smaller agencies that don't need the depth of the larger platforms here.
Convirza: Reviewers cite call scoring and quality analysis alongside attribution, useful for agencies that also need to prove call quality to clients, not just call volume.

For agencies managing more than a handful of client accounts simultaneously, which of these actually kept attribution accurate across accounts without cross-client tracking numbers getting mixed up?

CallRail has kept attribution clean for us across a good number of client accounts running simultaneously. The multi-client account structure does the real work there, each client's numbers stay properly separated.

Answered: Krithika Sathyamoorthy on September 18, 2026

Which Market Intelligence platforms provide AI-powered insights, like Ask the AI, for competitive sentiment analysis?

Which Market Intelligence platforms provide AI-powered insights, like Ask the AI, for competitive sentiment analysis is worth digging into, since a lot of platforms in this space still expect you to manually dig through dashboards rather than just asking a direct question and getting an answer. Similarweb, Semrush, and Demandbase One are the three most often mentioned for AI-assisted analysis features.

Similarweb: includes AI-generated insights that summarize traffic and market shifts rather than leaving you to interpret raw charts.
Semrush: has added AI-powered summaries across several of its tools, useful for a quick read on competitive positioning.
Demandbase One: applies AI to surface which accounts are showing buying or competitive research signals worth acting on.
Kompyte: automates competitor change detection and summarizes what shifted, cutting down on manual monitoring.
Contify: uses AI to tag and prioritize incoming market news so sentiment shifts don't get buried in a feed.

Has an AI summary from one of these tools ever caught a competitive move you would have otherwise missed?

The property that matters most in AI summaries here is one nobody demos: whether the summary shows its sources and their dates. A confident paragraph built on a competitor's site as it looked months ago reads exactly like one built on yesterday's change, and in competitive work, acting on the stale one is worse than digging manually. So a fair test for any of these: take a competitor move you already know happened recently and ask the AI about it, then check whether it cites where and when it looked.

Answered: Amita Jain on September 17, 2026