Marketing Software Resources - Page 37

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

Tidio vs Manychat for beginner-friendly chatbot building: which makes the most sense for a small team?

Question for the reviewers and researchers who cover conversational marketing tools: Both Tidio and Manychat are built as no-code, drag-and-drop bot builders aimed at non-technical teams, and both come up constantly in "easiest to start with" conversations in the Conversational Marketing category.

Manychat (4.5/5, 160+ reviews): built around Instagram, Facebook Messenger, and WhatsApp DM automation, so it pulls ahead when the beginner use case is social-led, comment-to-DM funnels, story replies, broadcast campaigns. Paid plans scale with contact volume.
Tidio (4.6/5, 1,875+ reviews): centers on a website live chat widget with a bot layered on top, plus a free tier and native Shopify setup, so it pulls ahead when the beginner use case is a website chat box rather than social DMs. Paid plans start once the AI agent is added.

The simplest way to decide: where does the team's beginner traffic actually start? On the website, Tidio is the more direct build. In Instagram or Messenger comments and DMs, Manychat is the more direct build.

Which one has actually held up for a small team once the flows get slightly more complex than the first template, and is there a third beginner-friendly option worth adding to this comparison?

The framing based on where the team's traffic actually starts, website versus social DMs, is a cleaner way to decide than a generic feature comparison. Curious whether either platform has held up well once flows get slightly more complex than the first template.

Answered: Krithika Sathyamoorthy on August 21, 2026

Is Intercom Fin worth it for handling website conversations on a marketing site?

Hi, marketing ops folks and conversational marketing reviewers, this one's for you. Fin by Intercom keeps coming up when a marketing site needs more than a scripted chatbot but the team doesn't want to stand up a full support platform.

Curious where reviewers land on fit for that specific in-between case in the Conversational Marketing category, not a general review of Intercom overall.

Where it tends to fit:

Team size and volume: per-resolution pricing tends to pencil out once a marketing site has enough qualified chat traffic to justify cost per resolved conversation; a lower-traffic site may not clear that bar as easily.
Existing stack: reviewers note it connects to Salesforce, HubSpot, and other CRMs without a full migration project, so it tends to suit teams already running one of those rather than a stack change.
Accuracy on marketing-site questions: Intercom reports Fin resolving the majority of conversations on average, with some teams seeing over 90%, and G2 reviewers describe similar territory (roughly 80 to 90% reliable) for well-scoped pricing and product questions.
Where it sits next to the other names people ask about: HubSpot's Breeze Customer Agent is the more direct fit if the team already lives inside HubSpot end to end, and Qualified's Piper leans more toward sales-qualified routing than general marketing-site support.

Fin currently sits at 4.5/5 (3,875+ reviews) on G2. For a marketing site specifically, not a full support inbox, what's the traffic or team-size threshold where Fin actually starts paying for itself for you?

Fin feels particularly well suited to marketing sites where the same product, pricing, and buying questions come up repeatedly. In that scenario, I’d also look at how much useful context Fin can provide before a visitor needs a person. Are teams using those conversations to identify information that should eventually be added to their website as well?

Answered: Shubham Gupta on August 21, 2026

Which conversational marketing platforms offer native CRM integration with Salesforce or HubSpot?

Hello G2 community, this one is for anyone who has wired chat into a CRM and lived with the result. I am trying to sort out which conversational marketing platforms offer genuinely native CRM integration with Salesforce or HubSpot, because native is doing a lot of work in vendor copy right now.

Researching the conversational marketing category, my bar for native is specific: the integration ships in the product with no Zapier middle layer, chat activity lands on the contact record with proper field mapping, and lead routing follows the CRM's own rules rather than a parallel system you maintain on the side.

Four platforms make that claim credibly, in different ways:

Qualified: built on Salesforce to the point of being an AppExchange-native product, so routing and account data read straight from your Salesforce instance. That dependency cuts both ways, since it assumes Salesforce is your system of record.
HubSpot Marketing Hub: native by definition on the HubSpot side, because chat is simply part of the CRM. The real question runs the other direction: if Salesforce is your record system, you are working through HubSpot's Salesforce sync, which is a different proposition.
Drift (now part of Salesloft): ships first-party Salesforce and HubSpot integrations with routing rules included. Worth confirming with current users how the Salesloft transition is treating the integration roadmap.
Fin: Intercom's agent passes conversation and qualification data into Salesforce or HubSpot through first-party apps. Its heritage is support-led, so check that the lead-versus-contact field mapping matches how your marketing team actually works.

For those running one of these in production: where did native quietly stop being true for you, the field that would not map, the routing rule that needed a workaround, the sync that lagged behind the conversation?

Based on my observation and experience, native almost always holds for a vendor's home CRM and quietly degrades on the other one, which is the real fork in your list: a Salesforce-native tool reading a HubSpot instance, or the reverse, is where the seams show.

The place it usually stops being true is the object model, lead versus contact versus person account, because chat activity that lands cleanly as an activity still fights you when routing depends on a custom object that the integration doesn't map. Attribution is the other quiet gap, since first-touch and campaign fields often sync a step behind the conversation, so the record is right but late. If your system of record and the tool's home CRM aren't the same, that mismatch is where I'd expect native to thin out first.

Answered: Shashank Shastry on August 22, 2026