Marketing Software Resources - Page 29

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

What are the top-rated personalization platforms for mid-market teams needing the simplest configuration for non-technical staff?

Hi, ops and product folks on G2, plus reviewers who have owned personalization without an engineer attached to it. I am after the top-rated personalization platforms for mid-market teams needing the simplest configuration for non-technical staff, and would value input from people who configure these themselves rather than filing tickets.

The real constraint at mid-market is not the algorithm. It is whether a change needs a development ticket, because anything that does goes into a backlog and effectively stops happening. Three that come up most:

Chameleon (4.4) runs in-app guidance, tours and targeted messages largely without code, which reviewers say lets documentation and training teams manage it without involving the engineering team. Deployment in a complex product can still need developer help, and the volume of customisation options makes onboarding slower than expected.
VWO Testing (4.4) has a visual editor for changing text, images and buttons in a variation without writing code, so tests can launch without IT. Reviewers flag that the asynchronous script needs careful implementation or pages can briefly flicker on load.
AB Tasty (4.4) lets product managers modify pages and target segments without raising a development ticket per test, which reviewers use to validate a change before committing engineering time. Complex components and custom tracking take more upfront setup than the simple cases suggest.

For anyone owning this outside marketing: what was the first change you actually had to hand back to engineering?

I’d expect custom tracking and more complex components to be the first point where engineering gets pulled back in. That seems like the real boundary between “no-code for everyday changes” and “no-code for everything.”

Answered: Preksha Buttan on September 16, 2026

Which SEO tools price by keyword tracked or by seat, and which suits a small team better?

Direct question for the small-agency and solo SEO folks on G2. Which SEO tools price by keyword tracked or by seat, and which suits a small team better, since the two models punish very different situations.

A few on G2's SEO tools list make the pricing model itself part of the pitch:

Wincher (4.6/5, 450+ reviews): built around keyword-tracking tiers, so cost scales with how many terms you're watching rather than how many people are logged in.
SEOptimer (4.6/5, 335+ reviews): tiers by crawl volume and site count instead of seats or keywords, which reviewers say fits agencies running many small sites more than one big one.
AIOSEO (4.8/5, 225+ reviews): a per-site WordPress license rather than a seat or keyword-based subscription, so a small team on one site pays a flat rate regardless of headcount.

For a small team specifically: which pricing model actually punished you the most as you grew, keywords, seats, or sites?

Seats hurt when the team grows; keyword limits hurt when the client list grows. For a small agency, I’d probably rather pay for Wincher’s additional tracking capacity than pay again every time another strategist needs access. Shared visibility shouldn’t be the expensive part of an SEO tool.

Answered: Barkha Bali on September 14, 2026

What are the best SEO tools for teams now tracking visibility in AI answers as well as search results?

Curious how the SEO community on G2 is handling this shift. Ranking on page one used to be the whole job. What are the best SEO tools for teams now tracking visibility in AI answers as well as search results, since a chunk of the traffic that mattered a year ago now shows up as a citation instead of a click.

I want to start a discussion on G2 about which tools have actually built this in versus bolted it on, since a few keep coming up on the SEO tools list for treating AI visibility as core, not an add-on:

Conductor (4.5/5, 755+ reviews): built as an end-to-end AEO platform from the ground up, tracking visibility across AI and traditional search engines under one data engine rather than a bolted-on module.
SE Ranking (4.7/5, 1520+ reviews): its AI Search Toolkit tracks brand and domain visibility across AI Overviews, AI Mode, ChatGPT, Perplexity, and Gemini, with daily tracking rather than a periodic snapshot.
Surfer (4.8/5, 530+ reviews): positions itself as an AI visibility platform first, aiming to get content cited by both search engines and LLMs from the same workflow instead of two separate ones.
Semrush (4.4/5, 3920+ reviews): recent reviewers specifically call out its combined SEO and AEO workflows, layering AI visibility tracking onto its existing keyword and competitor data.

For anyone tracking both: has AI-answer visibility actually changed a real decision yet, or is it still a metric you watch without acting on?

I’d judge AI visibility by whether it changes content priorities, not just adds another dashboard metric. If citation data starts influencing which topics you refresh, where you add evidence, or how you structure answers, that’s when it becomes operationally useful.

Answered: Preksha Buttan on September 16, 2026