Marketing Software Resources - Page 33

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.

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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 location analytics platforms offer straightforward dashboards for retail stakeholders unfamiliar with heat maps?

Hi, retail ops folks on G2, and anyone who has presented a heat map to a regional manager and watched their eyes glaze. Which location analytics platforms offer straightforward dashboards for retail stakeholders who don't read heat maps, meaning a store manager or a finance lead, not an analyst?

The tools people usually name for this, like Placer.ai, sit in G2's location intelligence category and are built for analysts. The question here is about the other end: a dashboard a non-technical stakeholder opens on a Monday and understands without a briefing. I'd like to start a discussion on the Location-Based Marketing Software platforms on G2 that lead with that, and what each is best known for:

SingleInterface (4.7/5, 100+ reviews): Best known for a store-by-store view across thousands of locations, showing which are performing and why, for financial services and retail chains. Highest Satisfaction in the category at 99, with Analytics at 0.91. Trade-off: the data is local search, Maps and reviews, not in-store movement.
M360 (4.7/5, 20+ reviews): Best known for shopping-centre marketing with reporting built around the KPIs a centre manager already tracks, from Pocketstop. Trade-off: built for malls, not for a chain of standalone stores.
Bloom Intelligence (4.7/5, 20+ reviews): Best known as a restaurant marketing platform where guest data, automation and reputation sit in one plain dashboard. Analytics scores 0.89. Trade-off: restaurants only.
Flame Analytics (4.6/5, 75+ reviews): Best known for the deepest analytics in the category at 0.96, which is the strength and the risk here: it's the tool that produces the heat maps in the first place. Trade-off: more than a store manager needs.

Does your answer change if the stakeholder is a store manager who needs one number, or a finance lead who needs a hundred stores on one page?

Honest framing first: G2's location intelligence category is broad, it mixes heavy analytics tools with mapping and field-sales apps, so "straightforward for non-technical retail folks" narrows it a lot. For clean, readable dashboards that a non-analyst can glance at, Tableau is the approachable option, you can build simple bar, table and basic map views rather than dense heat maps, so stakeholders see plain answers. Geopointe is worth a look if you're in Salesforce and want simple location views on your existing data. To be real, the tools that turn foot-traffic and location data into genuinely simple retail dashboards (like Placer.ai) sit a bit outside this exact category, so worth checking those separately. The key is picking a tool where you control the visualization, so you can deliberately avoid heat maps and show plain charts. What location questions are the stakeholders actually asking, foot traffic, trade areas, or store performance by location?

Answered: Hasitha Varre on November 3, 2026

Which location marketing platforms provide real-time dwell time analytics across multiple store locations?

Question for the retail analytics reviewers and researchers here. Which location marketing platforms actually provide real-time dwell time analytics across multiple store locations, not one venue at a time?

Two things pull against each other in this question. Real-time dwell needs a sensor in the store, which is a per-site install. Multi-location needs a roll-up that treats a hundred stores as one dataset. Most tools are strong at one and adequate at the other, so the honest first question is where the signal comes from: guest Wi-Fi, the network hardware, or the shopper's phone with your app on it.

From the Location-Based Marketing Software category on G2, one platform for each source, plus the analytics-first option:

Purple (4.2/5 G2 rating): Guest Wi-Fi as the sensor. Footfall analytics on how visitors move, dwell and return, rolled up across 80,000+ venues worldwide. Trade-off: it measures people who log in to the Wi-Fi, so dwell covers the opted-in share, not everyone in the store.
Cisco Spaces (4.5/5 G2 rating): The network as the sensor. Catalyst, Meraki and Webex devices feed real-time location analytics into one cloud platform, with the top Wi-Fi Marketing score in the category at 0.97. Trade-off: you need Cisco hardware in every store you want counted.
PlotProjects (4.7/5 G2 rating): The phone as the sensor. A geofencing SDK with dwell-time and cooling-off triggers, built for low battery use, measuring visits across every store you geofence. Trade-off: only works for shoppers who have your app installed with location permission granted.
Flame Analytics (4.6/5 G2 rating): The analytics layer. Location analytics and engagement for physical spaces, with the category's highest Analytics score at 0.96 and Geofencing at 0.92. Trade-off: it's priced and built for chains, not a single shop.

For anyone who's compared one of these against a door counter or POS data for a month: how far off was the dwell number, and did the gap change by store?

Comparability across stores seems just as important as real-time reporting. Different layouts, hardware coverage, and opt-in rates can make two dwell-time numbers look comparable when they aren’t. How do teams normalize those differences before benchmarking locations against each other?

Answered: Shubham Gupta on September 2, 2026

Question on: Dynamic

Is Dynamic Yield worth it for mid-size ecommerce stores?

Hoping to hear from the mid-size ecommerce stores and G2 reviewers: is Dynamic Yield worth it at mid-size scale? The case for Dynamic Yield (4.5, 155+ reviews) is enterprise-grade personalization: a dedicated engine where recommendations, targeting, and testing are the whole product, with website personalization rated 92% on G2's feature data and a visual editor marketers run themselves. For a mid-size store, that depth is the draw and the question at once, since enterprise-grade tools assume someone has time to use the depth.

The comparators from personalization engines, framed by fit:

Nosto (4.6, 235+): the lighter ecommerce-native option, tuned for online stores that want recommendations working quickly without an enterprise rollout.
Bloomreach (4.6, 775+): personalization joined to commerce search and merchandising, strongest when discovery is the store's bigger problem.
Optimizely Web Experimentation (4.2, 410+): the experimentation-first route, right when testing culture matters more than automated recommendations.
Insider One (4.8, 1,415+): the category's deepest G2 review base, a full engagement platform where personalization is one part of a much wider toolkit.

My read: Dynamic Yield earns its place when a mid-size store runs personalization as a program, with someone owning it weekly; lighter ecommerce-native options fit when it needs to run itself.

For the stores that signed or walked: what tipped the decision at contract time, the depth, the effort, or something the demo never showed?

From my analysis, the decision usually turns on staffing at mid-size, not features, because enterprise-grade personalization only returns its value if someone owns the testing and merchandising loop every week, and that headcount is the real price the contract doesn't list.

Your read is the right frame: run as a program, it earns its place, but if the expectation is that it quietly runs itself, a lighter ecommerce-native tool fits the actual operating model better. What the demo never shows is exactly that ongoing effort, since a polished walkthrough makes the depth look self-driving when it needs a hand on the wheel. For the stores that walked, was it the price tag or the realization that nobody had the weekly hours to feed it?

Answered: Shashank Shastry on August 22, 2026