Marketing Software Resources
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.
Marketing Software Articles
70+ Marketing Statistics to Shape Your Marketing Strategy in 2024
2023 Trends: Making Your Marketing Win in Times of Loss
Marketing Software Discussions
Curious how the retail marketing measurement folks here read this one. Which location-based marketing software actually proves ROI through visitor lift and sales attribution at retail events, rather than reporting impressions and calling it lift?
Every vendor can show more visits during an event. Proving the event caused them means a comparison window, a control group and a sales join, agreed before the event runs. Reading the Location-Based Marketing Software category on G2 against that bar, the tools split by which half they measure:
- PlotProjects (4.7/5 G2 rating): The visit half. A geofencing SDK built to measure footfall and store visits precisely, used by Shopfully, Groupon and Burger King. Geofencing scores 0.90. Trade-off: it counts app users only, and the sales join is yours to build.
- Propulso (4.2/5 G2 rating): The lift half. GPS mobility data from third-party providers turned into visit metrics, with a geomarketing layer to run ads against them, so exposed and unexposed visits can be compared. IP Geolocation scores 0.92. Trade-off: Campaign Automation scores 0.73, the lowest here.
- M360 (4.7/5 G2 rating): The event half. Shopping-centre campaigns with real-time results on centre KPIs. Campaign Automation is rated 10/10 by reviewers. Trade-off: attribution stops at the centre level, not the tenant's till.
- Purple (4.2/5 G2 rating): The return-visit half. Wi-Fi presence is tied to first-party profiles, so an event visitor who comes back is a known person. Trade-off: no POS join out of the box.
None of the four closes the loop alone, which is the honest read of the category. Has anyone here run an event with the lift math agreed up front, and which tool actually produced the number that survived finance?
Hoping to get a read from the property and centre-management folks who review these tools.
Which location marketing platforms are actually reliable for retail property managers who have to protect customer privacy, across tenants they don't control?
A property manager's privacy problem is different from a retailer's. The shopper never signed up with you. They signed up with a tenant, or with nobody, and you're measuring the concourse anyway. The tools people usually hear about here, Foursquare and Placer.ai, buy third-party movement data and sit in G2's location intelligence category. For the platforms in this category, the checks I'd want:
- Consent visible to the shopper at the moment of capture, not buried in an app policy
- Data retention you can set and shorten, with deletion on request
- Vendor certifications you can name: SOC 2, ISO 27001, GDPR documentation
- Tenant separation: a retailer sees its own data, not the centre's
- Aggregated counts by default, with identified data only where the shopper opted in
From the Location-Based Marketing Software category on G2, four that answer those differently:
- Purple (4.2/5, 35+ reviews): Guest and multi-tenant Wi-Fi from one platform, with consent collected at a branded login where the shopper sees the trade. Trade-off: analytics only cover people who log in.
- Radar (4.7/5, 15+ reviews): SOC 2 and GDPR compliant with configurable retention and privacy controls, on 300M+ devices. Trade-off: an SDK, so it lives inside an app you or a tenant ships.
- M360 (4.7/5, 20+ reviews): Built for shopping centres, with proximity SMS and email to shoppers who subscribed to the centre itself. Trade-off: no anonymous footfall layer.
- Flame Analytics (4.6/5, 75+ reviews): Top Security Compliance score in the category at 0.95, with venue analytics for physical spaces. Trade-off: chain-scale pricing.
What's the one privacy finding that made you drop a location vendor from a property shortlist?
Digging through the Location-Based Marketing category on G2, the property manager framing in the post is the detail worth sitting with, since the shopper never opted into a relationship with the property, only with a tenant or with nobody, which makes consent and tenant separation harder problems than a typical retailer's location marketing faces. Platforms built around visible, branded consent at the moment of capture solve a real piece of this, but they also only see the people who actually opt in, which means the anonymous footfall layer property managers often want has to come from somewhere else entirely.
Tenant separation is the check that's easy to overlook and hardest to verify from a G2 profile alone, since a retailer trusting that its data stays its own is a promise that lives in configuration and contract terms, not in a feature list. Given how thin and scattered the review evidence is across this category for the property-manager use case specifically, the finding that would actually change a shortlist is probably less about a feature gap and more about a vendor unable to clearly explain how tenant data gets walled off from the property's own view.
Shoppers are increasingly wary of being followed around by their phones, and privacy regulations back them up. So which location marketing tools track guest shopping patterns without relying on invasive tracking technology?
The answer comes down to consent models, and G2's Location-Based Marketing category rates products on security compliance directly:
- Purple: 4.2 stars, 40+ reviews. Built on the most transparent model in the category: guests opt in through a Wi-Fi login they choose to use, so the analytics start from an explicit exchange of value rather than passive surveillance.
- Bloom Intelligence: 4.7 stars, 20+ reviews, the category's highest rating. Same opt-in Wi-Fi foundation, with G2 reviewers rating its security compliance at 95%; guest profiles come from customers who signed in, not devices that were sniffed.
- Flame Analytics: 4.6 stars, 80+ reviews. Reviewers rate its security compliance at 95%, and its foot traffic analytics work with anonymized and aggregated patterns, which answers most "how busy, when, where" questions without identifying anyone.
- Radar: The first-party route: a geofencing SDK inside your own app, where users grant location permission explicitly and can revoke it. G2 reviewers highlight its easy integration and responsive support, and it powers location features for brands like Panera and DICK's Sporting Goods.
The pattern across all four: non-invasive does not mean less data, it means data from people who said yes, whether through a Wi-Fi login, an app permission, or anonymous aggregation.
When you have evaluated location analytics, did the vendor's consent model hold up under a close look, or did "privacy-friendly" fall apart in the details?
I’d want to know what happens to someone who says no. Can they still use the Wi-Fi or app normally, and does tracking genuinely stop? Purple and Bloom’s opt-in model sounds cleaner than passive tracking, but consent only means much if declining it is a realistic option.