Blog 82: Tools in product management … (4/7)

Continued from blog 81.

Product management is a vast field with multiple sub-fields. They range from:

1.      Strategy & planning (list of tools highlighted in blog 79).

2.      Design (UI/UX) (list of tools highlighted in blog 80).

3.      Execution & tactics (list of tools highlighted in blog 81).

4.      Go-to-market (list of tools highlighted in blog 82).

5.      Metrics & performance (list of tools highlighted in blog 83).

6.      Product development & technology (list of tools highlighted in blog 84).

7.      Cross-functional (list of tools highlighted in blog 85).

There are several specialised tools catering to each of these sub-fields. In this blog we look at the fourth sub-field go-to-market.

Marketing automation tools:

·       HubSpot

·       Marketo

·       Eloqua

·       Hushly

CRM tools:

·       Salesforce

·       HubSpot

·       Zendesk

·       Freshworks

Web & App analytics tools:

·       Google Analytics

·       Adobe Analytics

·       Kissmetrics

Email marketing automation tools:

·       Mailchimp

·       CleverTap

Push notifications tools:

·       CleverTap

Customer feedback and surveys tools:

·       Google forms

·       Typeform

·       Survey Monkey

Referral marketing program tools:

·       Referralcandy

Loyalty program tools:

·       Loyalty API - square developers

SEO tools:

·       Google Analytics

·       Google Search Console, Google Search Autofill, Google PageSpeed

·       Moz

·       Screaming Frog

SEM tools:

·       Google Ads

·       SEM Rush

Traffic analytics tools:

·       Piwik

What users looking for?

·       Google Trends

Keyword optimization tools:

·       UberSuggest

·       Google Keyword Planner

Paid Social tools:

·       Instagram

·       Facebook

·       LinkedIn

Recent times have seen a rise in the use of AI (artificial intelligence) in product management. AI is helping to derive valuable insights and automate routine tasks. Some key use cases of AI, ML, and analytics in go-to-market are:

Product marketing and communication. AI, ML, and analytics is used for the following:

- AI can segment audiences based on the product’s unique characteristics.

- Hence, be able to target the right audience segments (refer blog 77: how to identify the target market; blog 78: what are the different types of customer segmentation?).

- Moreover, AI can continuously refine audience targeting based on real-time feedback and performance data.

- Tools like HubSpot and Marketo (marketing automation platforms).

Strategic partnerships and alliances. AI, ML, and analytics is used for the following:

-        Identify potential partners, assess partnership opportunities, and optimise collaboration strategies.

-        Analyse extensive data sets, including market trends, industry dynamics, and company profiles, to identify suitable partners.

-        Evaluate partnerships’ potential benefits and risks (based on market demand, competitive landscape, and complementary capabilities).

-        Platforms like Crunchbase and LinkedIn are examples of strategic partnerships and alliances.

Note: The list of companies mentioned above are ONLY a SAMPLE list and NOT an exhaustive list.

Jump to blog 100 to refer to the overall product management mind map.

Source:

Web/Google research as of July 2024

https://www.atlassian.com/agile/product-management/product-management-tools

https://www.leewayhertz.com/ai-in-product-management/

https://amplitude.com/blog/product-roadmap-building

I wish you the best for your journey. 😊